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Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Parallel Direction Method of Multipliers
In Poster Session and Reception
Huahua Wang · Arindam Banerjee · Zhi-Quan Luo
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Beta-Negative Binomial Process and Exchangeable Random Partitions for Mixed-Membership Modeling
In Poster Session and Reception
Mingyuan Zhou
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Structure learning of antiferromagnetic Ising models
In Poster Session and Reception
Guy Bresler · David Gamarnik · Devavrat Shah
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Unified Semantic Embedding: Relating Taxonomies and Attributes
In Poster Session and Reception
Sung Ju Hwang · Leonid Sigal
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Convex Optimization Procedure for Clustering: Theoretical Revisit
In Poster Session and Reception
Changbo Zhu · Huan Xu · Chenlei Leng · Shuicheng Yan
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
An Autoencoder Approach to Learning Bilingual Word Representations
In Poster Session and Reception
Sarath Chandar Anbil Parthipan · Stanislas Lauly · Hugo Larochelle · Mitesh Khapra · Balaraman Ravindran · Vikas C Raykar · Amrita Saha
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Localized Data Fusion for Kernel k-Means Clustering with Application to Cancer Biology
In Poster Session and Reception
Mehmet Gönen · Adam A Margolin
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Inferring sparse representations of continuous signals with continuous orthogonal matching pursuit
In Poster Session and Reception
Karin C Knudson · Jacob Yates · Alexander Huk · Jonathan W Pillow
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors
In Poster Session and Reception
Lingqiao Liu · Chunhua Shen · Lei Wang · Anton van den Hengel · Chao Wang
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A framework for studying synaptic plasticity with neural spike train data
In Poster Session and Reception
Scott Linderman · Christopher H Stock · Ryan Adams
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Elementary Estimators for Graphical Models
In Poster Session and Reception
Eunho Yang · Aurelie Lozano · Pradeep Ravikumar
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Dependent nonparametric trees for dynamic hierarchical clustering
In Poster Session and Reception
Kumar Avinava Dubey · Qirong Ho · Sinead Williamson · Eric Xing
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Distributed Balanced Clustering via Mapping Coresets
In Poster Session and Reception
Mohammadhossein Bateni · Aditya Bhaskara · Silvio Lattanzi · Vahab Mirrokni
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A provable SVD-based algorithm for learning topics in dominant admixture corpus
In Poster Session and Reception
Trapit Bansal · Chiranjib Bhattacharyya · Ravindran Kannan
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Delay-Tolerant Algorithms for Asynchronous Distributed Online Learning
In Poster Session and Reception
Brendan McMahan · Matthew Streeter
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Constant Nullspace Strong Convexity and Fast Convergence of Proximal Methods under High-Dimensional Settings
In Poster Session and Reception
Ian En-Hsu Yen · Cho-Jui Hsieh · Pradeep Ravikumar · Inderjit Dhillon
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Dimensionality Reduction with Subspace Structure Preservation
In Poster Session and Reception
Devansh Arpit · Ifeoma Nwogu · Venu Govindaraju
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Time--Data Tradeoffs by Aggressive Smoothing
In Poster Session and Reception
John J Bruer · Joel A Tropp · Volkan Cevher · Stephen Becker
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Subspace Embeddings for the Polynomial Kernel
In Poster Session and Reception
Haim Avron · Huy Nguyen · David Woodruff
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Exact Post Model Selection Inference for Marginal Screening
In Poster Session and Reception
Jason D Lee · Jonathan E Taylor
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Tighten after Relax: Minimax-Optimal Sparse PCA in Polynomial Time
In Poster Session and Reception
Zhaoran Wang · Huanran Lu · Han Liu
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
General Stochastic Networks for Classification
In Poster Session and Reception
Matthias Zöhrer · Franz Pernkopf
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Greedy Subspace Clustering
In Poster Session and Reception
Dohyung Park · Constantine Caramanis · Sujay Sanghavi
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Iterative Neural Autoregressive Distribution Estimator NADE-k
In Poster Session and Reception
Tapani Raiko · Yao Li · Kyunghyun Cho · Yoshua Bengio
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Model-based Reinforcement Learning and the Eluder Dimension
In Poster Session and Reception
Ian Osband · Benjamin Van Roy
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Near-Optimal-Sample Estimators for Spherical Gaussian Mixtures
In Poster Session and Reception
Ananda Theertha Suresh · Alon Orlitsky · Jayadev Acharya · Ashkan Jafarpour
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Near-Optimal Density Estimation in Near-Linear Time Using Variable-Width Histograms
In Poster Session and Reception
Siu On Chan · Ilias Diakonikolas · Rocco A Servedio · Xiaorui Sun
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Probabilistic Differential Dynamic Programming
In Poster Session and Reception
Yunpeng Pan · Evangelos Theodorou
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Representation Theory for Ranking Functions
In Poster Session and Reception
Harsh H Pareek · Pradeep Ravikumar
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Weakly-supervised Discovery of Visual Pattern Configurations
In Poster Session and Reception
Hyun Oh Song · Yong Jae Lee · Stefanie Jegelka · Trevor Darrell
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Scalable Kernel Methods via Doubly Stochastic Gradients
In Poster Session and Reception
Bo Dai · Bo Xie · Niao He · Yingyu Liang · Anant Raj · Maria-Florina F Balcan · Le Song
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Spectral k-Support Norm Regularization
In Poster Session and Reception
Andrew McDonald · Massimiliano Pontil · Dimitris Stamos
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Self-Adaptable Templates for Feature Coding
In Poster Session and Reception
Xavier Boix · Gemma Roig · Salomon Diether · Luc V Gool
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Multiscale Fields of Patterns
In Poster Session and Reception
Pedro Felzenszwalb · John G Oberlin
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives
In Poster Session and Reception
Aaron Defazio · Francis Bach · Simon Lacoste-Julien
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Robust Bayesian Max-Margin Clustering
In Poster Session and Reception
Changyou Chen · Jun Zhu · Xinhua Zhang
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
SerialRank: Spectral Ranking using Seriation
In Poster Session and Reception
Fajwel Fogel · Alexandre d'Aspremont · Milan Vojnovic
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Fast Sampling-Based Inference in Balanced Neuronal Networks
In Poster Session and Reception
Guillaume Hennequin · Laurence Aitchison · Mate Lengyel
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
General Table Completion using a Bayesian Nonparametric Model
In Poster Session and Reception
Isabel Valera · Zoubin Ghahramani
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Neurons as Monte Carlo Samplers: Bayesian Inference and Learning in Spiking Networks
In Poster Session and Reception
Yanping Huang · Rajesh PN Rao
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Sparse Multi-Task Reinforcement Learning
In Poster Session and Reception
Daniele Calandriello · Alessandro Lazaric · Marcello Restelli
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Algorithms for CVaR Optimization in MDPs
In Poster Session and Reception
Yinlam Chow · Mohammad Ghavamzadeh
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Blossom Tree Graphical Models
In Poster Session and Reception
Zhe Liu · John Lafferty
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Inferring synaptic conductances from spike trains with a biophysically inspired point process model
In Poster Session and Reception
Kenneth W Latimer · chichilnisky Chichilnisky · Fred Rieke · Jonathan W Pillow
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Local Linear Convergence of Forward--Backward under Partial Smoothness
In Poster Session and Reception
Jingwei Liang · Jalal Fadili · Gabriel Peyré
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Top Rank Optimization in Linear Time
In Poster Session and Reception
Nan Li · Rong Jin · Zhi-Hua Zhou
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Recursive Context Propagation Network for Semantic Scene Labeling
In Poster Session and Reception
Abhishek Sharma · Oncel Tuzel · Ming-Yu Liu
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Distributed Estimation, Information Loss and Exponential Families
In Poster Session and Reception
Qiang Liu · Alexander Ihler
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification
In Poster Session and Reception
Been Kim · Cynthia Rudin · Julie A Shah
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Articulated Pose Estimation by a Graphical Model with Image Dependent Pairwise Relations
In Poster Session and Reception
Xianjie Chen · Alan L Yuille
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning with Fredholm Kernels
In Poster Session and Reception
Qichao Que · Mikhail Belkin · Yusu Wang
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Restricted Boltzmann machines modeling human choice
In Poster Session and Reception
Takayuki Osogami · Makoto Otsuka
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Distributed Parameter Estimation in Probabilistic Graphical Models
In Poster Session and Reception
Yariv D Mizrahi · Misha Denil · Nando de Freitas
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
On Iterative Hard Thresholding Methods for High-dimensional M-Estimation
In Poster Session and Reception
Prateek Jain · Ambuj Tewari · Puru Kar
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Generalized Dantzig Selector: Application to the k-support norm
In Poster Session and Reception
Soumyadeep Chatterjee · Sheng Chen · Arindam Banerjee
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Parallel Sampling of HDPs using Sub-Cluster Splits
In Poster Session and Reception
Jason Chang · John Fisher III
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Robust Kernel Density Estimation by Scaling and Projection in Hilbert Space
In Poster Session and Reception
Rob A Vandermeulen · Clay Scott
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Using Convolutional Neural Networks to Recognize Rhythm Stimuli from Electroencephalography Recordings
In Poster Session and Reception
Sebastian Stober · Daniel J Cameron · Jessica A Grahn
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Simple MAP Inference via Low-Rank Relaxations
In Poster Session and Reception
Roy Frostig · Sida Wang · Percy Liang · Christopher D Manning
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Consistency of Spectral Partitioning of Uniform Hypergraphs under Planted Partition Model
In Poster Session and Reception
Debarghya Ghoshdastidar · Ambedkar Dukkipati
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
On a Theory of Nonparametric Pairwise Similarity for Clustering: Connecting Clustering to Classification
In Poster Session and Reception
Yingzhen Yang · Feng Liang · Shuicheng Yan · Zhangyang Wang · Thomas S Huang
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Graph Clustering With Missing Data: Convex Algorithms and Analysis
In Poster Session and Reception
Ramya Korlakai Vinayak · Samet Oymak · Babak Hassibi
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Safe Screening Rule for Sparse Logistic Regression
In Poster Session and Reception
Jie Wang · Jiayu Zhou · Jun Liu · Peter Wonka · Jieping Ye
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning From Weakly Supervised Data by The Expectation Loss SVM (e-SVM) algorithm
In Poster Session and Reception
Jun Zhu · Junhua Mao · Alan L Yuille
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Zeta Hull Pursuits: Learning Nonconvex Data Hulls
In Poster Session and Reception
Yuanjun Xiong · Wei Liu · Deli Zhao · Xiaoou Tang
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
On the Convergence Rate of Decomposable Submodular Function Minimization
In Poster Session and Reception
Robert Nishihara · Stefanie Jegelka · Michael Jordan
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Zero-shot recognition with unreliable attributes
In Poster Session and Reception
Dinesh Jayaraman · Kristen Grauman
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Factoring Variations in Natural Images with Deep Gaussian Mixture Models
In Poster Session and Reception
Aaron van den Oord · Benjamin Schrauwen
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
On the Computational Efficiency of Training Neural Networks
In Poster Session and Reception
Roi Livni · Shai Shalev-Shwartz · Ohad Shamir
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
The Infinite Mixture of Infinite Gaussian Mixtures
In Poster Session and Reception
Halid Z Yerebakan · Bartek Rajwa · Murat Dundar
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Sensory Integration and Density Estimation
In Poster Session and Reception
Joseph G Makin · Philip N Sabes
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Dynamic Rank Factor Model for Text Streams
In Poster Session and Reception
Shaobo Han · Lin Du · Esther Salazar · Lawrence Carin
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
On Sparse Gaussian Chain Graph Models
In Poster Session and Reception
Calvin McCarter · Seyoung Kim
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning a Concept Hierarchy from Multi-labeled Documents
In Poster Session and Reception
Viet-An Nguyen · Jordan Boyd-Graber · Philip Resnik · Jonathan Chang
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning Mixed Multinomial Logit Model from Ordinal Data
In Poster Session and Reception
Sewoong Oh · Devavrat Shah
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Online Decision-Making in General Combinatorial Spaces
In Poster Session and Reception
Arun Rajkumar · Shivani Agarwal
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
On Integrated Clustering and Outlier Detection
In Poster Session and Reception
Lionel Ott · Linsey Pang · Fabio Ramos · Sanjay Chawla
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Mondrian Forests: Efficient Online Random Forests
In Poster Session and Reception
Balaji Lakshminarayanan · Dan Roy · Yee Whye Teh
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Capturing Semantically Meaningful Word Dependencies with an Admixture of Poisson MRFs
In Poster Session and Reception
David I Inouye · Pradeep Ravikumar · Inderjit Dhillon
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Kernel Mean Estimation via Spectral Filtering
In Poster Session and Reception
Krik Muandet · Bharath Sriperumbudur · Bernhard Schölkopf
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Pre-training of Recurrent Neural Networks via Linear Autoencoders
In Poster Session and Reception
Luca Pasa · Alessandro Sperduti
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Improved Multimodal Deep Learning with Variation of Information
In Poster Session and Reception
Kihyuk Sohn · Wendy Shang · Honglak Lee
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Predicting Useful Neighborhoods for Lazy Local Learning
In Poster Session and Reception
Aron Yu · Kristen Grauman
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Efficient Minimax Strategies for Square Loss Games
In Poster Session and Reception
Wouter M Koolen · Alan Malek · Peter Bartlett
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Expectation Backpropagation: Parameter-Free Training of Multilayer Neural Networks with Continuous or Discrete Weights
In Poster Session and Reception
Daniel Soudry · Itay Hubara · Ron Meir
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Information-based learning by agents in unbounded state spaces
In Poster Session and Reception
Shariq A Mobin · James A Arnemann · Fritz Sommer
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Deep Networks with Internal Selective Attention through Feedback Connections
In Poster Session and Reception
Marijn F Stollenga · Jonathan Masci · Faustino Gomez · Jürgen Schmidhuber
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Magnitude-sensitive preference formation`
In Poster Session and Reception
Nisheeth Srivastava · Ed Vul · Paul R Schrater
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Consistency of weighted majority votes
In Poster Session and Reception
Daniel Berend · Aryeh Kontorovich
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Quantized Estimation of Gaussian Sequence Models in Euclidean Balls
In Poster Session and Reception
Yuancheng Zhu · John Lafferty
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Low-dimensional models of neural population activity in sensory cortical circuits
In Poster Session and Reception
Evan W Archer · Urs Koster · Jonathan W Pillow · Jakob H Macke
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Parallel Feature Selection Inspired by Group Testing
In Poster Session and Reception
Yingbo Zhou · Utkarsh Porwal · Ce Zhang · Hung Q Ngo · Long Nguyen · Chris Ré · Venu Govindaraju
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Deep Fragment Embeddings for Bidirectional Image Sentence Mapping
In Poster Session and Reception
Andrej Karpathy · Armand Joulin · Li Fei-Fei
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Weighted importance sampling for off-policy learning with linear function approximation
In Poster Session and Reception
Rupam Mahmood · Hado P van Hasselt · Rich Sutton
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Sparse Bayesian structure learning with dependent relevance determination prior
In Poster Session and Reception
Anqi Wu · Mijung Park · Sanmi Koyejo · Jonathan W Pillow
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Global Belief Recursive Neural Networks
In Poster Session and Reception
Romain Paulus · Richard Socher · Chris Manning
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Projecting Markov Random Field Parameters for Fast Mixing
In Poster Session and Reception
Xianghang Liu · Justin Domke
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Attentional Neural Network: Feature Selection Using Cognitive Feedback
In Poster Session and Reception
Qian Wang · Jiaxing Zhang · Sen Song · Zheng Zhang
[ PDF] 
Poster
Mon Dec 08 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning the Learning Rate for Prediction with Expert Advice
In Poster Session and Reception
Wouter M Koolen · Tim van Erven · Peter Grünwald
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz algorithm
In Poster Session
Deanna Needell · Rachel Ward · Nati Srebro
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Clustered factor analysis of multineuronal spike data
In Poster Session
Lars Buesing · Timothy A Machado · John P Cunningham · Liam Paninski
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Analog Memories in a Balanced Rate-Based Network of E-I Neurons
In Poster Session
Dylan Festa · Guillaume Hennequin · Mate Lengyel
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Generative Adversarial Nets
In Poster Session
Ian Goodfellow · Jean Pouget-Abadie · Mehdi Mirza · Bing Xu · David Warde-Farley · Sherjil Ozair · Aaron Courville · Yoshua Bengio
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Latent Source Model for Online Collaborative Filtering
In Poster Session
Guy Bresler · George H Chen · Devavrat Shah
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Differential Equation for Modeling Nesterov’s Accelerated Gradient Method: Theory and Insights
In Poster Session
Weijie Su · Stephen Boyd · Emmanuel Candes
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Optimal prior-dependent neural population codes under shared input noise
In Poster Session
Agnieszka Grabska-Barwinska · Jonathan W Pillow
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Minimax-optimal Inference from Partial Rankings
In Poster Session
Bruce Hajek · Sewoong Oh · Jiaming Xu
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Extreme bandits
In Poster Session
Alexandra Carpentier · Michal Valko
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Orbit Regularization
In Poster Session
Renato Negrinho · Andre Martins
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Optimistic Planning in Markov Decision Processes Using a Generative Model
In Poster Session
Balázs Szörényi · Gunnar Kedenburg · Remi Munos
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
On the relations of LFPs & Neural Spike Trains
In Poster Session
David Carlson · Jana Schaich Borg · Kafui Dzirasa · Lawrence Carin
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Extremal Mechanisms for Local Differential Privacy
In Poster Session
Peter Kairouz · Sewoong Oh · Pramod Viswanath
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Do Convnets Learn Correspondence?
In Poster Session
Jon L Long · Ning Zhang · Trevor Darrell
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Content-based recommendations with Poisson factorization
In Poster Session
Prem Gopalan · Laurent Charlin · David Blei
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
PEWA: Patch-based Exponentially Weighted Aggregation for image denoising
In Poster Session
Charles Kervrann
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Nonparametric Bayesian inference on multivariate exponential families
In Poster Session
William R Vega-Brown · Marek Doniec · Nicholas Roy
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Multilabel Structured Output Learning with Random Spanning Trees of Max-Margin Markov Networks
In Poster Session
Mario Marchand · Hongyu Su · Emilie Morvant · Juho Rousu · John Shawe-Taylor
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Conditional Swap Regret and Conditional Correlated Equilibrium
In Poster Session
Mehryar Mohri · Scott Yang
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input
In Poster Session
Mateusz Malinowski · Mario Fritz
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Synaptical Story of Persistent Activity with Graded Lifetime in a Neural System
In Poster Session
Yuanyuan Mi · Luozheng Li · Dahui Wang · Si Wu
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
The Large Margin Mechanism for Differentially Private Maximization
In Poster Session
Kamalika Chaudhuri · Daniel Hsu · Shuang Song
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Rounding-based Moves for Metric Labeling
In Poster Session
M. Pawan Kumar
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Compressive Sensing of Signals from a GMM with Sparse Precision Matrices
In Poster Session
Jianbo Yang · Xuejun Liao · Minhua Chen · Lawrence Carin
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Multiplicative Model for Learning Distributed Text-Based Attribute Representations
In Poster Session
Jamie Kiros · Richard Zemel · Russ Salakhutdinov
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Scalable Inference for Neuronal Connectivity from Calcium Imaging
In Poster Session
Allie Fletcher · Sundeep Rangan
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Provable Submodular Minimization using Wolfe's Algorithm
In Poster Session
Deeparnab Chakrabarty · Prateek Jain · Pravesh Kothari
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS)
In Poster Session
Anshumali Shrivastava · Ping Li
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Fast Training of Pose Detectors in the Fourier Domain
In Poster Session
João Henriques · Pedro Martins · Rui F Caseiro · Jorge Batista
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Recovery of Coherent Data via Low-Rank Dictionary Pursuit
In Poster Session
Guangcan Liu · Ping Li
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Online Optimization for Max-Norm Regularization
In Poster Session
Jie Shen · Huan Xu · Ping Li
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Stochastic Multi-Armed-Bandit Problem with Non-stationary Rewards
In Poster Session
Omar Besbes · Yonatan Gur · Assaf Zeevi
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Large-scale L-BFGS using MapReduce
In Poster Session
Weizhu Chen · Zhenghao Wang · Jingren Zhou
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning Mixtures of Submodular Functions for Image Collection Summarization
In Poster Session
Sebastian Tschiatschek · Rishabh K Iyer · Haochen Wei · Jeff Bilmes
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Probabilistic low-rank matrix completion on finite alphabets
In Poster Session
Jean Lafond · Olga Klopp · Eric Moulines · Joseph Salmon
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Bandit Convex Optimization: Towards Tight Bounds
In Poster Session
Elad Hazan · Kfir Y. Levy
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning Deep Features for Scene Recognition using Places Database
In Poster Session
Bolei Zhou · Agata Lapedriza · Jianxiong Xiao · Antonio Torralba · Aude Oliva
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Sparse Space-Time Deconvolution for Calcium Image Analysis
In Poster Session
Ferran Diego Andilla · Fred Hamprecht
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Robust Tensor Decomposition with Gross Corruption
In Poster Session
Quanquan Gu · Huan Gui · Jiawei Han
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Distributed Power-law Graph Computing: Theoretical and Empirical Analysis
In Poster Session
Cong Xie · Ling Yan · Wu-Jun Li · Zhihua Zhang
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Online combinatorial optimization with stochastic decision sets and adversarial losses
In Poster Session
Gergely Neu · Michal Valko
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning Time-Varying Coverage Functions
In Poster Session
Nan Du · Yingyu Liang · Maria-Florina F Balcan · Le Song
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Finding a sparse vector in a subspace: Linear sparsity using alternating directions
In Poster Session
Qing Qu · Ju Sun · John Wright
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Efficient Optimization for Average Precision SVM
In Poster Session
Pritish Mohapatra · C.V. Jawahar · M. Pawan Kumar
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Online and Stochastic Gradient Methods for Non-decomposable Loss Functions
In Poster Session
Puru Kar · Harikrishna Narasimhan · Prateek Jain
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
The Noisy Power Method: A Meta Algorithm with Applications
In Poster Session
Moritz Hardt · Eric Price
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Efficient Partial Monitoring with Prior Information
In Poster Session
Hasta P Vanchinathan · Gábor Bartók · Andreas Krause
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Discovering, Learning and Exploiting Relevance
In Poster Session
Cem Tekin · Mihaela van der Schaar
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Automated Variational Inference for Gaussian Process Models
In Poster Session
Trung V Nguyen · Edwin Bonilla
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning Generative Models with Visual Attention
In Poster Session
Yichuan Charlie Tang · Nitish Srivastava · Russ Salakhutdinov
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Bayesian model for identifying hierarchically organised states in neural population activity
In Poster Session
Patrick Putzky · Florian Franzen · Giacomo Bassetto · Jakob H Macke
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
An Accelerated Proximal Coordinate Gradient Method
In Poster Session
Qihang Lin · Zhaosong Lu · Lin Xiao
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Grouping-Based Low-Rank Trajectory Completion and 3D Reconstruction
In Poster Session
Katerina Fragkiadaki · Marta Salas · Pablo Arbelaez · Jitendra Malik
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Optimal Neural Codes for Control and Estimation
In Poster Session
Alex K Susemihl · Ron Meir · Manfred Opper
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Quantized Kernel Learning for Feature Matching
In Poster Session
Danfeng Qin · Xuanli Chen · Matthieu Guillaumin · Luc V Gool
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Ranking via Robust Binary Classification
In Poster Session
Hyokun Yun · Parameswaran Raman · S. Vishwanathan
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Shaping Social Activity by Incentivizing Users
In Poster Session
Mehrdad Farajtabar · Nan Du · Manuel Gomez Rodriguez · Isabel Valera · Hongyuan Zha · Le Song
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
DFacTo: Distributed Factorization of Tensors
In Poster Session
Joon Hee Choi · S. Vishwanathan
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Sparse PCA via Covariance Thresholding
In Poster Session
Yash Deshpande · Andrea Montanari
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Local Decorrelation For Improved Pedestrian Detection
In Poster Session
Woonhyun Nam · Piotr Dollar · Joon Hee Han
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Submodular meets Structured: Finding Diverse Subsets in Exponentially-Large Structured Item Sets
In Poster Session
Adarsh Prasad · Stefanie Jegelka · Dhruv Batra
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Deep Symmetry Networks
In Poster Session
Robert Gens · Pedro Domingos
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Reputation-based Worker Filtering in Crowdsourcing
In Poster Session
Srikanth Jagabathula · Lakshminarayanan Subramanian · Ashwin Venkataraman
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions
In Poster Session
José Miguel Hernández-Lobato · Matthew Hoffman · Zoubin Ghahramani
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
LSDA: Large Scale Detection through Adaptation
In Poster Session
Judy Hoffman · Sergio Guadarrama · Eric Tzeng · Ronghang Hu · Jeff Donahue · Ross Girshick · Trevor Darrell · Kate Saenko
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Design Principles of the Hippocampal Cognitive Map
In Poster Session
Kim Stachenfeld · Matthew Botvinick · Samuel J Gershman
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Discrete Graph Hashing
In Poster Session
Wei Liu · Cun Mu · Sanjiv Kumar · Shih-Fu Chang
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets
In Poster Session
Jie Wang · Jieping Ye
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning Distributed Representations for Structured Output Prediction
In Poster Session
Vivek Srikumar · Christopher D Manning
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Searching for Higgs Boson Decay Modes with Deep Learning
In Poster Session
Peter Sadowski · Daniel Whiteson · Pierre Baldi
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Semi-supervised Learning with Deep Generative Models
In Poster Session
Diederik Kingma · Shakir Mohamed · Danilo Jimenez Rezende · Max Welling
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
On the Number of Linear Regions of Deep Neural Networks
In Poster Session
Guido F Montufar · Razvan Pascanu · Kyunghyun Cho · Yoshua Bengio
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Convolutional Kernel Networks
In Poster Session
Julien Mairal · Piotr Koniusz · Zaid Harchaoui · Cordelia Schmid
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Diverse Sequential Subset Selection for Supervised Video Summarization
In Poster Session
Boqing Gong · Wei-Lun (Harry) Chao · Kristen Grauman · Fei Sha
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Sequence to Sequence Learning with Neural Networks
In Poster Session
Ilya Sutskever · Oriol Vinyals · Quoc V Le
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Variational Gaussian Process State-Space Models
In Poster Session
Roger Frigola · Yutian Chen · Carl Edward Rasmussen
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Scalable Non-linear Learning with Adaptive Polynomial Expansions
In Poster Session
Alekh Agarwal · Alina Beygelzimer · Daniel Hsu · John Langford · Matus J Telgarsky
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Deep Learning Face Representation by Joint Identification-Verification
In Poster Session
Yi Sun · Yuheng Chen · Xiaogang Wang · Xiaoou Tang
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning
In Poster Session
Xiaoxiao Guo · Satinder Singh · Honglak Lee · Richard L Lewis · Xiaoshi Wang
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Two-Stream Convolutional Networks for Action Recognition in Videos
In Poster Session
Karen Simonyan · Andrew Zisserman
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Clustering from Labels and Time-Varying Graphs
In Poster Session
Shiau-Hong Lim · Yudong Chen · Huan Xu
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Median Selection Subset Aggregation for Parallel Inference
In Poster Session
Xiangyu Wang · Peichao Peng · David B Dunson
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Feedforward Learning of Mixture Models
In Poster Session
Matthew Lawlor · Steven W Zucker
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Fast Kernel Learning for Multidimensional Pattern Extrapolation
In Poster Session
Andrew Wilson · Elad Gilboa · John P Cunningham · Arye Nehorai
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Proximal Quasi-Newton for Computationally Intensive L1-regularized M-estimators
In Poster Session
Kai Zhong · Ian En-Hsu Yen · Inderjit Dhillon · Pradeep Ravikumar
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Scalable Methods for Nonnegative Matrix Factorizations of Near-separable Tall-and-skinny Matrices
In Poster Session
Austin Benson · Jason D Lee · Bartek Rajwa · David F Gleich
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Metric Learning for Temporal Sequence Alignment
In Poster Session
Rémi Lajugie · Damien Garreau · Francis Bach · Sylvain Arlot
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Controlling privacy in recommender systems
In Poster Session
Yu Xin · Tommi Jaakkola
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Covariance shrinkage for autocorrelated data
In Poster Session
Daniel Bartz · Klaus-Robert Müller
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning on graphs using Orthonormal Representation is Statistically Consistent
In Poster Session
Rakesh Shivanna · Chiranjib Bhattacharyya
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning to Discover Efficient Mathematical Identities
In Poster Session
Wojciech Zaremba · Karol Kurach · Rob Fergus
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Tight Bounds for Influence in Diffusion Networks and Application to Bond Percolation and Epidemiology
In Poster Session
Remi Lemonnier · Kevin Scaman · Nicolas Vayatis
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Optimal rates for k-NN density and mode estimation
In Poster Session
Sanjoy Dasgupta · Samory Kpotufe
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Tight convex relaxations for sparse matrix factorization
In Poster Session
Emile Richard · Guillaume R Obozinski · Jean-Philippe Vert
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Discriminative Metric Learning by Neighborhood Gerrymandering
In Poster Session
Shubhendu Trivedi · David Mcallester · Greg Shakhnarovich
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Inference by Learning: Speeding-up Graphical Model Optimization via a Coarse-to-Fine Cascade of Pruning Classifiers
In Poster Session
Bruno Conejo · Nikos Komodakis · Sebastien Leprince · Jean Philippe Avouac
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Mind the Nuisance: Gaussian Process Classification using Privileged Noise
In Poster Session
Daniel Hernández-lobato · Viktoriia Sharmanska · Kristian Kersting · Christoph Lampert · Novi Quadrianto
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Gaussian Process Volatility Model
In Poster Session
Yue Wu · José Miguel Hernández-Lobato · Zoubin Ghahramani
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Conditional Random Field Autoencoders for Unsupervised Structured Prediction
In Poster Session
Waleed Ammar · Chris Dyer · Noah A Smith
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Spatio-temporal Representations of Uncertainty in Spiking Neural Networks
In Poster Session
Cristina Savin · Sophie Denève
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Feedback Detection for Live Predictors
In Poster Session
Stefan Wager · Nick Chamandy · Omkar Muralidharan · Amir Najmi
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Fundamental Limits of Online and Distributed Algorithms for Statistical Learning and Estimation
In Poster Session
Ohad Shamir
[ PDF] 
Poster
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Dual Algorithm for Olfactory Computation in the Locust Brain
In Poster Session
Sina Tootoonian · Mate Lengyel
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Optimal Regret Minimization in Posted-Price Auctions with Strategic Buyers
In Poster Session
Mehryar Mohri · Andres Munoz
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing
In Poster Session
Yuchen Zhang · Xi Chen · Denny Zhou · Michael Jordan
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Spectral Clustering of graphs with the Bethe Hessian
In Poster Session
Alaa Saade · Florent Krzakala · Lenka Zdeborová
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Best-Arm Identification in Linear Bandits
In Poster Session
Marta Soare · Alessandro Lazaric · Remi Munos
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Active Regression by Stratification
In Poster Session
Sivan Sabato · Remi Munos
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Combinatorial Pure Exploration of Multi-Armed Bandits
In Poster Session
Shouyuan Chen · Tian Lin · Irwin King · Michael R Lyu · Wei Chen
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Spectral Learning of Mixture of Hidden Markov Models
In Poster Session
Cem Subakan · Johannes Traa · Paris Smaragdis
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Constrained convex minimization via model-based excessive gap
In Poster Session
Quoc Tran-Dinh · Volkan Cevher
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Rates of Convergence for Nearest Neighbor Classification
In Poster Session
Kamalika Chaudhuri · Sanjoy Dasgupta
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Multi-Class Deep Boosting
In Poster Session
Vitaly Kuznetsov · Mehryar Mohri · Umar Syed
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models
In Poster Session
Michalis Titsias · Christopher Yau
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Simultaneous Model Selection and Optimization through Parameter-free Stochastic Learning
In Poster Session
Francesco Orabona
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Scaling-up Importance Sampling for Markov Logic Networks
In Poster Session
Deepak Venugopal · Vibhav Gogate
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Efficient Structured Matrix Rank Minimization
In Poster Session
Adams Wei Yu · Wanli Ma · Yaoliang Yu · Jaime Carbonell · Suvrit Sra
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A State-Space Model for Decoding Auditory Attentional Modulation from MEG in a Competing-Speaker Environment
In Poster Session
Sahar Akram · Jonathan Z Simon · Shihab A Shamma · Behtash Babadi
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Boosting Framework on Grounds of Online Learning
In Poster Session
Tofigh Naghibi Mohamadpoor · Beat Pfister
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Exploiting easy data in online optimization
In Poster Session
Amir Sani · Gergely Neu · Alessandro Lazaric
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Fast and Robust Least Squares Estimation in Corrupted Linear Models
In Poster Session
Brian McWilliams · Gabriel Krummenacher · Mario Lucic · Joachim M Buhmann
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Estimation with Norm Regularization
In Poster Session
Arindam Banerjee · Sheng Chen · Farideh Fazayeli · Vidyashankar Sivakumar
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
An Integer Polynomial Programming Based Framework for Lifted MAP Inference
In Poster Session
Somdeb Sarkhel · Deepak Venugopal · Parag Singla · Vibhav Gogate
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Probabilistic Framework for Multimodal Retrieval using Integrative Indian Buffet Process
In Poster Session
Bahadir Ozdemir · Larry Davis
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Bayes-Adaptive Simulation-based Search with Value Function Approximation
In Poster Session
Arthur Guez · Nicolas Heess · David Silver · Peter Dayan
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Fast Prediction for Large-Scale Kernel Machines
In Poster Session
Cho-Jui Hsieh · Si Si · Inderjit Dhillon
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Active Learning and Best-Response Dynamics
In Poster Session
Maria-Florina F Balcan · Christopher Berlind · Avrim Blum · Emma Cohen · Kaushik Patnaik · Le Song
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
"How hard is my MDP?" The distribution-norm to the rescue
In Poster Session
Odalric-Ambrym Maillard · Timothy A Mann · Shie Mannor
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Extended and Unscented Gaussian Processes
In Poster Session
Daniel M Steinberg · Edwin Bonilla
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Deterministic Symmetric Positive Semidefinite Matrix Completion
In Poster Session
William E Bishop · Byron M Yu
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Convex Deep Learning via Normalized Kernels
In Poster Session
Özlem Aslan · Xinhua Zhang · Dale Schuurmans
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Positive Curvature and Hamiltonian Monte Carlo
In Poster Session
Christof Seiler · Simon Rubinstein-Salzedo · Susan Holmes
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Beyond Disagreement-Based Agnostic Active Learning
In Poster Session
Chicheng Zhang · Kamalika Chaudhuri
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Reducing the Rank in Relational Factorization Models by Including Observable Patterns
In Poster Session
Maximilian Nickel · Xueyan Jiang · Volker Tresp
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Analysis of Learning from Positive and Unlabeled Data
In Poster Session
Marthinus C du Plessis · Gang Niu · Masashi Sugiyama
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
The Blinded Bandit: Learning with Adaptive Feedback
In Poster Session
Ofer Dekel · Elad Hazan · Tomer Koren
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Permutation Diffusion Maps (PDM) with Application to the Image Association Problem in Computer Vision
In Poster Session
Deepti Pachauri · Risi Kondor · Gautam Sargur · Vikas Singh
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Deep Convolutional Neural Network for Image Deconvolution
In Poster Session
Li Xu · Jimmy S. Ren · Ce Liu · Jiaya Jia
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning to Search in Branch and Bound Algorithms
In Poster Session
He He · Hal Daumé III · Jason Eisner
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Altitude Training: Strong Bounds for Single-Layer Dropout
In Poster Session
Stefan Wager · Will S Fithian · Sida Wang · Percy Liang
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Fast Multivariate Spatio-temporal Analysis via Low Rank Tensor Learning
In Poster Session
Mohammad Taha Bahadori · Rose Yu · Yan Liu
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
New Rules for Domain Independent Lifted MAP Inference
In Poster Session
Happy Mittal · Prasoon Goyal · Vibhav Gogate · Parag Singla
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Low-Rank Time-Frequency Synthesis
In Poster Session
Cédric Févotte · Matthieu Kowalski
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning to Optimize via Information-Directed Sampling
In Poster Session
Daniel Russo · Benjamin Van Roy
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Efficient learning by implicit exploration in bandit problems with side observations
In Poster Session
Tomáš Kocák · Gergely Neu · Michal Valko · Remi Munos
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Bayesian Inference for Structured Spike and Slab Priors
In Poster Session
Michael Riis Andersen · Ole Winther · Lars K Hansen
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Exponential Concentration of a Density Functional Estimator
In Poster Session
Shashank Singh · Barnabas Poczos
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Distance-Based Network Recovery under Feature Correlation
In Poster Session
David Adametz · Volker Roth
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Efficient Minimax Signal Detection on Graphs
In Poster Session
Jing Qian · Venkatesh Saligrama
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
From Stochastic Mixability to Fast Rates
In Poster Session
Nishant Mehta · Robert Williamson
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
On the Statistical Consistency of Plug-in Classifiers for Non-decomposable Performance Measures
In Poster Session
Harikrishna Narasimhan · Rohit Vaish · Shivani Agarwal
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Large-Margin Convex Polytope Machine
In Poster Session
Alex Kantchelian · Michael C Tschantz · Ling Huang · Peter Bartlett · Anthony D Joseph · J. D. Tygar
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Low Rank Approximation Lower Bounds in Row-Update Streams
In Poster Session
David Woodruff
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space
In Poster Session
Ian En-Hsu Yen · Ting-Wei Lin · Shou-De Lin · Pradeep Ravikumar · Inderjit Dhillon
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Non-convex Robust PCA
In Poster Session
Praneeth Netrapalli · Niranjan Uma Naresh · Sujay Sanghavi · Animashree Anandkumar · Prateek Jain
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Stochastic Network Design in Bidirected Trees
In Poster Session
Xiaojian Wu · Dan Sheldon · Shlomo Zilberstein
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Do Deep Nets Really Need to be Deep?
In Poster Session
Jimmy Ba · Rich Caruana
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Spectral Methods for Supervised Topic Models
In Poster Session
Yining Wang · Jun Zhu
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Unsupervised Transcription of Piano Music
In Poster Session
Taylor Berg-Kirkpatrick · Jacob Andreas · Dan Klein
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Spectral Methods for Indian Buffet Process Inference
In Poster Session
Hsiao-Yu Tung · Alex Smola
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Feature Cross-Substitution in Adversarial Classification
In Poster Session
Bo Li · Yevgeniy Vorobeychik
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Global Sensitivity Analysis for MAP Inference in Graphical Models
In Poster Session
Jasper De Bock · Cassio P de Campos · Alessandro Antonucci
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Robust Logistic Regression and Classification
In Poster Session
Jiashi Feng · Huan Xu · Shie Mannor · Shuicheng Yan
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Multi-Scale Spectral Decomposition of Massive Graphs
In Poster Session
Si Si · Donghyuk Shin · Inderjit Dhillon · Beresford N Parlett
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Sparse Polynomial Learning and Graph Sketching
In Poster Session
Murat Kocaoglu · Karthikeyan Shanmugam · Alex Dimakis · Adam Klivans
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Consistent Binary Classification with Generalized Performance Metrics
In Poster Session
Sanmi Koyejo · Nagarajan Natarajan · Pradeep Ravikumar · Inderjit Dhillon
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Neural Word Embedding as Implicit Matrix Factorization
In Poster Session
Omer Levy · Yoav Goldberg
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Asynchronous Anytime Sequential Monte Carlo
In Poster Session
Brooks Paige · Frank Wood · Arnaud Doucet · Yee Whye Teh
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Bayesian Nonlinear Support Vector Machines and Discriminative Factor Modeling
In Poster Session
Ricardo Henao · Xin Yuan · Lawrence Carin
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Generalized Higher-Order Orthogonal Iteration for Tensor Decomposition and Completion
In Poster Session
Yuanyuan Liu · Fanhua Shang · Wei Fan · James Cheng · Hong Cheng
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Testing Unfaithful Gaussian Graphical Models
In Poster Session
De Wen Soh · Sekhar C Tatikonda
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Block-Coordinate Descent Approach for Large-scale Sparse Inverse Covariance Estimation
In Poster Session
Eran Treister · Javier S Turek
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Log-Hilbert-Schmidt metric between positive definite operators on Hilbert spaces
In Poster Session
Minh Ha Quang · Marco San Biagio · Vittorio Murino
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Efficient Sampling for Learning Sparse Additive Models in High Dimensions
In Poster Session
Hemant Tyagi · Bernd Gärtner · Andreas Krause
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Drifting-Games Analysis for Online Learning and Applications to Boosting
In Poster Session
Haipeng Luo · Robert E Schapire
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning Mixtures of Ranking Models
In Poster Session
Pranjal Awasthi · Avrim Blum · Or Sheffet · Aravindan Vijayaraghavan
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Identifying and attacking the saddle point problem in high-dimensional non-convex optimization
In Poster Session
Yann N Dauphin · Razvan Pascanu · Caglar Gulcehre · Kyunghyun Cho · Surya Ganguli · Yoshua Bengio
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Residual Bootstrap for High-Dimensional Regression with Near Low-Rank Designs
In Poster Session
Miles Lopes
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A Wild Bootstrap for Degenerate Kernel Tests
In Poster Session
Kacper P Chwialkowski · Dino Sejdinovic · Arthur Gretton
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning with Pseudo-Ensembles
In Poster Session
Philip Bachman · ouais Alsharif · Doina Precup
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature
In Poster Session
Tom Gunter · Michael A Osborne · Roman Garnett · Philipp Hennig · Stephen J Roberts
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Deconvolution of High Dimensional Mixtures via Boosting, with Application to Diffusion-Weighted MRI of Human Brain
In Poster Session
Charles Y Zheng · Franco Pestilli · Ariel Rokem
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Multivariate f-divergence Estimation With Confidence
In Poster Session
Kevin Moon · Alfred Hero
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Optimizing F-Measures by Cost-Sensitive Classification
In Poster Session
Shameem Puthiya Parambath · Nicolas Usunier · Yves Grandvalet
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
From MAP to Marginals: Variational Inference in Bayesian Submodular Models
In Poster Session
Josip Djolonga · Andreas Krause
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
The limits of squared Euclidean distance regularization
In Poster Session
Michal Derezinski · Manfred K. Warmuth
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
(Almost) No Label No Cry
In Poster Session
Giorgio Patrini · Richard Nock · Tiberio Caetano · Paul Rivera
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
RAAM: The Benefits of Robustness in Approximating Aggregated MDPs in Reinforcement Learning
In Poster Session
Marek Petrik · Shankar Subramanian
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Multi-scale Graphical Models for Spatio-Temporal Processes
In Poster Session
Firdaus Janoos · Huseyin Denli · Niranjan Subrahmanya
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Optimizing Energy Production Using Policy Search and Predictive State Representations
In Poster Session
Yuri Grinberg · Doina Precup · Michel Gendreau
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Multi-Resolution Cascades for Multiclass Object Detection
In Poster Session
Ehsan Saberian · Nuno Vasconcelos
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Near-optimal sample compression for nearest neighbors
In Poster Session
Lee-Ad Gottlieb · Aryeh Kontorovich · Pinhas Nisnevitch
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
On Communication Cost of Distributed Statistical Estimation and Dimensionality
In Poster Session
Ankit Garg · Tengyu Ma · Huy Nguyen
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Learning Neural Network Policies with Guided Policy Search under Unknown Dynamics
In Poster Session
Sergey Levine · Pieter Abbeel
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Bounded Regret for Finite-Armed Structured Bandits
In Poster Session
Tor Lattimore · Remi Munos
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Provable Tensor Factorization with Missing Data
In Poster Session
Prateek Jain · Sewoong Oh
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Decomposing Parameter Estimation Problems
In Poster Session
Khaled Refaat · Arthur Choi · Adnan Darwiche
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Latent Support Measure Machines for Bag-of-Words Data Classification
In Poster Session
Yuya Yoshikawa · Tomoharu Iwata · Hiroshi Sawada
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
On the Information Theoretic Limits of Learning Ising Models
In Poster Session
Rashish Tandon · Karthikeyan Shanmugam · Pradeep Ravikumar · Alex Dimakis
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
A* Sampling
In Poster Session
Chris Maddison · Daniel Tarlow · Tom Minka
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Near-optimal Reinforcement Learning in Factored MDPs
In Poster Session
Ian Osband · Benjamin Van Roy
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
How transferable are features in deep neural networks?
In Poster Session
Jason Yosinski · Jeff Clune · Yoshua Bengio · Hod Lipson
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Difference of Convex Functions Programming for Reinforcement Learning
In Poster Session
Bilal Piot · Matthieu Geist · Olivier Pietquin
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Parallel Double Greedy Submodular Maximization
In Poster Session
Xinghao Pan · Stefanie Jegelka · Joseph Gonzalez · Joseph K Bradley · Michael Jordan
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Robust Classification Under Sample Selection Bias
In Poster Session
Angie Liu · Brian Ziebart
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Probabilistic ODE Solvers with Runge-Kutta Means
In Poster Session
Michael Schober · David Duvenaud · Philipp Hennig
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation
In Poster Session
Mingjun Zhong · Nigel Goddard · Charles Sutton
[ PDF] 
Poster
Wed Dec 10 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Tree-structured Gaussian Process Approximations
In Poster Session
Thang Bui · Richard Turner
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
PAC-Bayesian AUC classification and scoring
In Poster Session
James Ridgway · Pierre Alquier · Nicolas Chopin · Feng Liang
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Deep Joint Task Learning for Generic Object Extraction
In Poster Session
Xiaolong Wang · Liliang Zhang · Liang Lin · Zhujin Liang · Wangmeng Zuo
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Making Pairwise Binary Graphical Models Attractive
In Poster Session
Nicholas Ruozzi · Tony Jebara
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Causal Inference through a Witness Protection Program
In Poster Session
Ricardo Silva · Robin Evans
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Divide-and-Conquer Learning by Anchoring a Conical Hull
In Poster Session
Tianyi Zhou · Jeff Bilmes · Carlos Guestrin
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Learning Shuffle Ideals Under Restricted Distributions
In Poster Session
Dongqu Chen
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Learning Optimal Commitment to Overcome Insecurity
In Poster Session
Avrim Blum · Nika Haghtalab · Ariel Procaccia
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Submodular Attribute Selection for Action Recognition in Video
In Poster Session
Jingjing Zheng · Zhuolin Jiang · Rama Chellappa · Jonathon P Phillips
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Message Passing Inference for Large Scale Graphical Models with High Order Potentials
In Poster Session
Jian Zhang · Alex Schwing · Raquel Urtasun
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Repeated Contextual Auctions with Strategic Buyers
In Poster Session
Kareem Amin · Afshin Rostamizadeh · Umar Syed
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Multitask learning meets tensor factorization: task imputation via convex optimization
In Poster Session
Kishan Wimalawarne · Masashi Sugiyama · Ryota Tomioka
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Shape and Illumination from Shading using the Generic Viewpoint Assumption
In Poster Session
Daniel Zoran · Dilip Krishnan · José Bento · Bill Freeman
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
large scale canonical correlation analysis with iterative least squares
In Poster Session
Yichao Lu · Dean P Foster
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
A Statistical Decision-Theoretic Framework for Social Choice
In Poster Session
Hossein Azari Soufiani · David Parkes · Lirong Xia
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Beyond the Birkhoff Polytope: Convex Relaxations for Vector Permutation Problems
In Poster Session
Cong Han Lim · Stephen Wright
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Recursive Inversion Models for Permutations
In Poster Session
Christopher Meek · Marina Meila
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Graphical Models for Recovering Probabilistic and Causal Queries from Missing Data
In Poster Session
Karthika Mohan · Judea Pearl
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation
In Poster Session
Jonathan J Tompson · Arjun Jain · Yann LeCun · Christoph Bregler
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Approximating Hierarchical MV-sets for Hierarchical Clustering
In Poster Session
Assaf Glazer · Omer Weissbrod · Michael Lindenbaum · Shaul Markovitch
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Flexible Transfer Learning under Support and Model Shift
In Poster Session
Xuezhi Wang · Jeff Schneider
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Incremental Local Gaussian Regression
In Poster Session
Franziska Meier · Philipp Hennig · Stefan Schaal
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
On Multiplicative Multitask Feature Learning
In Poster Session
Xin Wang · Jinbo Bi · Shipeng Yu · Jiangwen Sun
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Learning Chordal Markov Networks by Dynamic Programming
In Poster Session
Kustaa Kangas · Mikko Koivisto · Teppo Niinimäki
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
A statistical model for tensor PCA
In Poster Session
Emile Richard · Andrea Montanari
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Smoothed Gradients for Stochastic Variational Inference
In Poster Session
Stephan Mandt · David Blei
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation
In Poster Session
Emily Denton · Wojciech Zaremba · Joan Bruna · Yann LeCun · Rob Fergus
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
A Filtering Approach to Stochastic Variational Inference
In Poster Session
Neil Houlsby · David Blei
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Real-Time Decoding of an Integrate and Fire Encoder
In Poster Session
Shreya Saxena · Munther Dahleh
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Concavity of reweighted Kikuchi approximation
In Poster Session
Po-Ling Loh · Andre Wibisono
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Incremental Clustering: The Case for Extra Clusters
In Poster Session
Margareta Ackerman · Sanjoy Dasgupta
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Spike Frequency Adaptation Implements Anticipative Tracking in Continuous Attractor Neural Networks
In Poster Session
Yuanyuan Mi · C. C. Alan Fung · K. Y. Michael Wong · Si Wu
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Convolutional Neural Network Architectures for Matching Natural Language Sentences
In Poster Session
Baotian Hu · Zhengdong Lu · Hang Li · Qingcai Chen
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Multi-View Perceptron: a Deep Model for Learning Face Identity and View Representations
In Poster Session
Zhenyao Zhu · Ping Luo · Xiaogang Wang · Xiaoou Tang
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
A Framework for Testing Identifiability of Bayesian Models of Perception
In Poster Session
Luigi Acerbi · Wei Ji Ma · Sethu Vijayakumar
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Structure Regularization for Structured Prediction
In Poster Session
Xu Sun
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Efficient Inference of Continuous Markov Random Fields with Polynomial Potentials
In Poster Session
Shenlong Wang · Alex Schwing · Raquel Urtasun
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Optimal decision-making with time-varying evidence reliability
In Poster Session
Jan Drugowitsch · Ruben Moreno-Bote · Alexandre Pouget
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Universal Option Models
In Poster Session
hengshuai yao · Csaba Szepesvari · Rich Sutton · Joseph Modayil · Shalabh Bhatnagar
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Analysis of Variational Bayesian Latent Dirichlet Allocation: Weaker Sparsity Than MAP
In Poster Session
Shinichi Nakajima · Issei Sato · Masashi Sugiyama · Kazuho Watanabe · Hiroko Kobayashi
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Generalized Unsupervised Manifold Alignment
In Poster Session
Zhen Cui · Hong Chang · Shiguang Shan · Xilin Chen
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Object Localization based on Structural SVM using Privileged Information
In Poster Session
Jan Feyereisl · Suha Kwak · Jeany Son · Bohyung Han
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
In Poster Session
David Eigen · Christian Puhrsch · Rob Fergus
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Accelerated Mini-batch Randomized Block Coordinate Descent Method
In Poster Session
Tuo Zhao · Mo Yu · Yiming Wang · Raman Arora · Han Liu
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Diverse Randomized Agents Vote to Win
In Poster Session
Albert Jiang · Leandro Soriano Marcolino · Ariel Procaccia · Tuomas Sandholm · Nisarg Shah · Milind Tambe
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Clamping Variables and Approximate Inference
In Poster Session
Adrian Weller · Tony Jebara
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Extracting Certainty from Uncertainty: Transductive Pairwise Classification from Pairwise Similarities
In Poster Session
Tianbao Yang · Rong Jin
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Expectation-Maximization for Learning Determinantal Point Processes
In Poster Session
Jennifer A Gillenwater · Alex Kulesza · Emily Fox · Ben Taskar
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Discovering Structure in High-Dimensional Data Through Correlation Explanation
In Poster Session
Greg Ver Steeg · Aram Galstyan
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Bregman Alternating Direction Method of Multipliers
In Poster Session
Huahua Wang · Arindam Banerjee
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Recurrent Models of Visual Attention
In Poster Session
Volodymyr Mnih · Nicolas Heess · Alex Graves · koray kavukcuoglu
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Optimal Teaching for Limited-Capacity Human Learners
In Poster Session
Kaustubh R Patil · Jerry Zhu · Łukasz Kopeć · Bradley C Love
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Unsupervised learning of an efficient short-term memory network
In Poster Session
Pietro Vertechi · Wieland Brendel · Christian Machens
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Tight Continuous Relaxation of the Balanced k-Cut Problem
In Poster Session
Syama Sundar Rangapuram · Pramod Kaushik Mudrakarta · Matthias Hein
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Augur: Data-Parallel Probabilistic Modeling
In Poster Session
Jean-Baptiste Tristan · Daniel Huang · Joseph Tassarotti · Adam Pocock · Stephen Green · Guy L Steele
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models
In Poster Session
Yichuan Zhang · Charles Sutton
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Self-Paced Learning with Diversity
In Poster Session
Lu Jiang · Deyu Meng · Shoou-I Yu · Zhenzhong Lan · Shiguang Shan · Alexander Hauptmann
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Discriminative Unsupervised Feature Learning with Convolutional Neural Networks
In Poster Session
Alexey Dosovitskiy · Jost Tobias Springenberg · Martin Riedmiller · Thomas Brox
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Just-In-Time Learning for Fast and Flexible Inference
In Poster Session
Ali Eslami · Daniel Tarlow · Pushmeet Kohli · John Winn
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Unsupervised Deep Haar Scattering on Graphs
In Poster Session
Xu Chen · Xiuyuan Cheng · Stephane Mallat
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
On Model Parallelization and Scheduling Strategies for Distributed Machine Learning
In Poster Session
Seunghak Lee · Jin Kyu Kim · Xun Zheng · Qirong Ho · Garth Gibson · Eric Xing
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Advances in Learning Bayesian Networks of Bounded Treewidth
In Poster Session
Siqi Nie · Denis Maua · Cassio P de Campos · Qiang Ji
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Sequential Monte Carlo for Graphical Models
In Poster Session
Christian Andersson Naesseth · Fredrik Lindsten · Thomas Schön
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Learning Multiple Tasks in Parallel with a Shared Annotator
In Poster Session
Haim Cohen · Yacov Crammer
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Analysis of Brain States from Multi-Region LFP Time-Series
In Poster Session
Kyle R Ulrich · David Carlson · Wenzhao Lian · Jana S Borg · Kafui Dzirasa · Lawrence Carin
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Poisson Process Jumping between an Unknown Number of Rates: Application to Neural Spike Data
In Poster Session
Florian Stimberg · Andreas Ruttor · Manfred Opper
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Automatic Discovery of Cognitive Skills to Improve the Prediction of Student Learning
In Poster Session
Robert Lindsey · Mohammad Khajah · Mike Mozer
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models
In Poster Session
Cho-Jui Hsieh · Inderjit Dhillon · Pradeep Ravikumar · Stephen Becker · Peder A Olsen
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection
In Poster Session
Sang-Yun Oh · Onkar Dalal · Kshitij Khare · Bala Rajaratnam
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Algorithm selection by rational metareasoning as a model of human strategy selection
In Poster Session
Falk Lieder · Dillon Plunkett · Jessica B Hamrick · Stuart J Russell · Nicholas Hay · Tom Griffiths
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Cone-Constrained Principal Component Analysis
In Poster Session
Yash Deshpande · Andrea Montanari · Emile Richard
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition
In Poster Session
Hanie Sedghi · Anima Anandkumar · Edmond A Jonckheere
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Communication Efficient Distributed Machine Learning with the Parameter Server
In Poster Session
Mu Li · David G Andersen · Alex Smola · Kai Yu
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Biclustering Using Message Passing
In Poster Session
Luke O'Connor · Soheil Feizi
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Decoupled Variational Gaussian Inference
In Poster Session
Emtiyaz Khan
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
A Complete Variational Tracker
In Poster Session
Ryan D Turner · Steven Bottone · Bhargav Avasarala
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Augmentative Message Passing for Traveling Salesman Problem and Graph Partitioning
In Poster Session
Siamak Ravanbakhsh · Reihaneh Rabbany · Russell Greiner
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Mode Estimation for High Dimensional Discrete Tree Graphical Models
In Poster Session
Chao Chen · Han Liu · Dimitris Metaxas · Tianqi Zhao
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Causal Strategic Inference in Networked Microfinance Economies
In Poster Session
Mohammad T Irfan · Luis E Ortiz
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Communication-Efficient Distributed Dual Coordinate Ascent
In Poster Session
Martin Jaggi · Virginia Smith · Martin Takac · Jonathan Terhorst · Sanjay Krishnan · Thomas Hofmann · Michael Jordan
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Extracting Latent Structure From Multiple Interacting Neural Populations
In Poster Session
Joao Semedo · Amin Zandvakili · Adam Kohn · Christian Machens · Byron M Yu
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Improved Distributed Principal Component Analysis
In Poster Session
Yingyu Liang · Maria-Florina F Balcan · Vandana Kanchanapally · David Woodruff
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Fairness in Multi-Agent Sequential Decision-Making
In Poster Session
Chongjie Zhang · Julie A Shah
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Modeling Deep Temporal Dependencies with Recurrent "Grammar Cells"
In Poster Session
Vincent Michalski · Roland Memisevic · Kishore Konda
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Computing Nash Equilibria in Generalized Interdependent Security Games
In Poster Session
Hau Chan · Luis E Ortiz
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Exclusive Feature Learning on Arbitrary Structures via $\ell_{1,2}$-norm
In Poster Session
Deguang Kong · Ryohei Fujimaki · Prof. Ji Liu Liu · Feiping Nie · Chris Ding
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Deep Recursive Neural Networks for Compositionality in Language
In Poster Session
Ozan Irsoy · Claire Cardie
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
On Prior Distributions and Approximate Inference for Structured Variables
In Poster Session
Sanmi Koyejo · Rajiv Khanna · Joydeep Ghosh · Russell Poldrack
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Stochastic variational inference for hidden Markov models
In Poster Session
Nick Foti · Jason Xu · Dillon Laird · Emily Fox
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Bayesian Sampling Using Stochastic Gradient Thermostats
In Poster Session
Nan Ding · Youhan Fang · Ryan Babbush · Changyou Chen · Robert D Skeel · Hartmut Neven
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Learning convolution filters for inverse covariance estimation of neural network connectivity
In Poster Session
George Mohler
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Multivariate Regression with Calibration
In Poster Session
Han Liu · Lie Wang · Tuo Zhao
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Sparse PCA with Oracle Property
In Poster Session
Quanquan Gu · Zhaoran Wang · Han Liu
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Partition-wise Linear Models
In Poster Session
Hidekazu Oiwa · Ryohei Fujimaki
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Streaming, Memory Limited Algorithms for Community Detection
In Poster Session
Se-Young Yun · marc lelarge · Alexandre Proutiere
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Stochastic Proximal Gradient Descent with Acceleration Techniques
In Poster Session
Atsushi Nitanda
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Scale Adaptive Blind Deblurring
In Poster Session
Haichao Zhang · Jianchao Yang
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Transportability from Multiple Environments with Limited Experiments: Completeness Results
In Poster Session
Elias Bareinboim · Judea Pearl
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Distributed Bayesian Posterior Sampling via Moment Sharing
In Poster Session
Minjie Xu · Balaji Lakshminarayanan · Yee Whye Teh · Jun Zhu · Bo Zhang
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Projective dictionary pair learning for pattern classification
In Poster Session
Shuhang Gu · Lei Zhang · Wangmeng Zuo · Xiangchu Feng
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Hardness of parameter estimation in graphical models
In Poster Session
Guy Bresler · David Gamarnik · Devavrat Shah
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Coresets for k-Segmentation of Streaming Data
In Poster Session
Guy Rosman · Mikhail Volkov · Dan Feldman · John Fisher III · Daniela Rus
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models
In Poster Session
Yarin Gal · Mark van der Wilk · Carl Edward Rasmussen
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Parallel Successive Convex Approximation for Nonsmooth Nonconvex Optimization
In Poster Session
Meisam Razaviyayn · Mingyi Hong · Zhi-Quan Luo · Jong-Shi Pang
[ PDF] 
Poster
Thu Dec 11 11:00 AM -- 03:00 PM (PST) @ Level 2, room 210D
Randomized Experimental Design for Causal Graph Discovery
In Poster Session
Huining Hu · Zhentao Li · Adrian R Vetta
[ PDF]