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Tue Dec 09 04:30 AM -- 02:30 PM (PST)
Registration Desk
Invited Talk
Tue Dec 09 06:00 AM -- 06:50 AM (PST) @ Level 2, room 210
Subgradient Methods for Huge-Scale Optimization Problems
In Oral Session 1
Yurii Nesterov
Session
Tue Dec 09 06:00 AM -- 07:10 AM (PST) @ Level 2, room 210
Oral Session 1
Jeffrey A Bilmes
Oral
Tue Dec 09 06:50 AM -- 07:10 AM (PST) @ Level 2, room 210
Provable Submodular Minimization using Wolfe's Algorithm
In Oral Session 1
Deeparnab Chakrabarty · Prateek Jain · Pravesh Kothari
Session
Tue Dec 09 07:10 AM -- 07:30 AM (PST) @ Level 2, room 210
Spotlight Session 1: Optimization spotlights
Spotlight
Tue Dec 09 07:10 AM -- 07:30 AM (PST) @ Level 2, room 210
Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets
In Spotlight Session 1: Optimization spotlights
Jie Wang · Jieping Ye
Spotlight
Tue Dec 09 07:10 AM -- 07:30 AM (PST) @ Level 2, room 210
Learning Distributed Representations for Structured Output Prediction
In Spotlight Session 1: Optimization spotlights
Vivek Srikumar · Christopher D Manning
Spotlight
Tue Dec 09 07:10 AM -- 07:30 AM (PST) @ Level 2, room 210
The Noisy Power Method: A Meta Algorithm with Applications
In Spotlight Session 1: Optimization spotlights
Moritz Hardt · Eric Price
Spotlight
Tue Dec 09 07:10 AM -- 07:30 AM (PST) @ Level 2, room 210
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions
In Spotlight Session 1: Optimization spotlights
José Miguel Hernández-Lobato · Matthew Hoffman · Zoubin Ghahramani
Spotlight
Tue Dec 09 07:10 AM -- 07:30 AM (PST) @ Level 2, room 210
Submodular meets Structured: Finding Diverse Subsets in Exponentially-Large Structured Item Sets
In Spotlight Session 1: Optimization spotlights
Adarsh Prasad · Stefanie Jegelka · Dhruv Batra
Spotlight
Tue Dec 09 07:10 AM -- 07:30 AM (PST) @ Level 2, room 210
A Differential Equation for Modeling Nesterov’s Accelerated Gradient Method: Theory and Insights
In Spotlight Session 1: Optimization spotlights
Weijie Su · Stephen Boyd · Emmanuel Candes
Break
Tue Dec 09 07:30 AM -- 09:00 AM (PST) @ Montreal Convention Center, Level 2, Room 220AB
Breakfast
Session
Tue Dec 09 07:55 AM -- 08:40 AM (PST) @ Level 2, room 210
Oral Session 2
D. Sculley
Talk
Tue Dec 09 07:55 AM -- 08:00 AM (PST)
NIPS Award Session
In Oral Session 2
Oral
Tue Dec 09 08:00 AM -- 08:20 AM (PST) @ Level 2, room 210
Median Selection Subset Aggregation for Parallel Inference
In Oral Session 2
Xiangyu Wang · Peichao Peng · David B Dunson
Oral
Tue Dec 09 08:20 AM -- 08:40 AM (PST) @ Level 2, room 210
Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS)
In Oral Session 2
Anshumali Shrivastava · Ping Li
Session
Tue Dec 09 08:40 AM -- 09:00 AM (PST) @ Level 2, room 210
Spotlight Session 2: Large scale learning spotlights
Spotlight
Tue Dec 09 08:40 AM -- 09:00 AM (PST) @ Level 2, room 210
Scalable Methods for Nonnegative Matrix Factorizations of Near-separable Tall-and-skinny Matrices
In Spotlight Session 2: Large scale learning spotlights
Austin Benson · Jason D Lee · Bartek Rajwa · David F Gleich
Spotlight
Tue Dec 09 08:40 AM -- 09:00 AM (PST) @ Level 2, room 210
Large-scale L-BFGS using MapReduce
In Spotlight Session 2: Large scale learning spotlights
Weizhu Chen · Zhenghao Wang · Jingren Zhou
Spotlight
Tue Dec 09 08:40 AM -- 09:00 AM (PST) @ Level 2, room 210
Discrete Graph Hashing
In Spotlight Session 2: Large scale learning spotlights
Wei Liu · Cun Mu · Sanjiv Kumar · Shih-Fu Chang
Spotlight
Tue Dec 09 08:40 AM -- 09:00 AM (PST) @ Level 2, room 210
Clustering from Labels and Time-Varying Graphs
In Spotlight Session 2: Large scale learning spotlights
Shiau Hong Lim · Yudong Chen · Huan Xu
Spotlight
Tue Dec 09 08:40 AM -- 09:00 AM (PST) @ Level 2, room 210
A Latent Source Model for Online Collaborative Filtering
In Spotlight Session 2: Large scale learning spotlights
Guy Bresler · George H Chen · Devavrat Shah
Spotlight
Tue Dec 09 08:40 AM -- 09:00 AM (PST) @ Level 2, room 210
Recovery of Coherent Data via Low-Rank Dictionary Pursuit
In Spotlight Session 2: Large scale learning spotlights
Guangcan Liu · Ping Li
Break
Tue Dec 09 10:30 AM -- 10:55 AM (PST)
Coffee Break
Invited Talk
Tue Dec 09 11:00 AM -- 11:50 AM (PST) @ Level 2, room 210
Role of Coupled Networks in 21st Century Energy Infrastructure
In Oral Session 3
Arunava Majumdar
Session
Tue Dec 09 11:00 AM -- 12:30 PM (PST) @ Level 2, room 210
Oral Session 3
Hugo Larochelle
Oral
Tue Dec 09 11:50 AM -- 12:10 PM (PST) @ Level 2, room 210
Analog Memories in a Balanced Rate-Based Network of E-I Neurons
In Oral Session 3
Dylan Festa · Guillaume Hennequin · Mate Lengyel
Break
Tue Dec 09 12:05 PM -- 02:00 PM (PST)
Lunch Break
Oral
Tue Dec 09 12:10 PM -- 12:30 PM (PST) @ Level 2, room 210
Feedforward Learning of Mixture Models
In Oral Session 3
Matthew Lawlor · Steven W Zucker
Session
Tue Dec 09 12:30 PM -- 12:50 PM (PST) @ Level 2, room 210
Spotlight Session 3: Neuroscience and Neural Coding spotlights
Spotlight
Tue Dec 09 12:30 PM -- 12:50 PM (PST) @ Level 2, room 210
Spatio-temporal Representations of Uncertainty in Spiking Neural Networks
In Spotlight Session 3: Neuroscience and Neural Coding spotlights
Cristina Savin · Sophie Denève
Spotlight
Tue Dec 09 12:30 PM -- 12:50 PM (PST) @ Level 2, room 210
Scalable Inference for Neuronal Connectivity from Calcium Imaging
In Spotlight Session 3: Neuroscience and Neural Coding spotlights
Alyson Fletcher · Sundeep Rangan
Spotlight
Tue Dec 09 12:30 PM -- 12:50 PM (PST) @ Level 2, room 210
Sparse Space-Time Deconvolution for Calcium Image Analysis
In Spotlight Session 3: Neuroscience and Neural Coding spotlights
Ferran Diego Andilla · Fred Hamprecht
Spotlight
Tue Dec 09 12:30 PM -- 12:50 PM (PST) @ Level 2, room 210
Design Principles of the Hippocampal Cognitive Map
In Spotlight Session 3: Neuroscience and Neural Coding spotlights
Kimberly Stachenfeld · Matthew Botvinick · Samuel J Gershman
Spotlight
Tue Dec 09 12:30 PM -- 12:50 PM (PST) @ Level 2, room 210
A Bayesian model for identifying hierarchically organised states in neural population activity
In Spotlight Session 3: Neuroscience and Neural Coding spotlights
Patrick Putzky · Florian Franzen · Giacomo Bassetto · Jakob H Macke
Spotlight
Tue Dec 09 12:30 PM -- 12:50 PM (PST) @ Level 2, room 210
Clustered factor analysis of multineuronal spike data
In Spotlight Session 3: Neuroscience and Neural Coding spotlights
Lars Buesing · Timothy A Machado · John P Cunningham · Liam Paninski
Session
Tue Dec 09 01:15 PM -- 02:40 PM (PST) @ Level 2, room 210
Oral Session 4
Marc'Aurelio Ranzato
Talk
Tue Dec 09 01:15 PM -- 01:20 PM (PST)
NIPS Award Session
In Oral Session 4
Oral
Tue Dec 09 01:20 PM -- 01:40 PM (PST) @ Level 2, room 210
Conditional Random Field Autoencoders for Unsupervised Structured Prediction
In Oral Session 4
Waleed Ammar · Chris Dyer · Noah A Smith
Oral
Tue Dec 09 01:40 PM -- 02:00 PM (PST) @ Level 2, room 210
Learning Generative Models with Visual Attention
In Oral Session 4
Yichuan Charlie Tang · Nitish Srivastava · Russ Salakhutdinov
Oral
Tue Dec 09 02:00 PM -- 02:20 PM (PST) @ Level 2, room 210
Sequence to Sequence Learning with Neural Networks
In Oral Session 4
Ilya Sutskever · Oriol Vinyals · Quoc V Le
Oral
Tue Dec 09 02:20 PM -- 02:40 PM (PST) @ Level 2, room 210
How transferable are features in deep neural networks?
In Oral Session 4
Jason Yosinski · Jeff Clune · Yoshua Bengio · Hod Lipson
Session
Tue Dec 09 02:40 PM -- 03:00 PM (PST) @ Level 2, room 210
Spotlight Session 4: Deep spotlights
Spotlight
Tue Dec 09 02:40 PM -- 03:00 PM (PST) @ Level 2, room 210
Two-Stream Convolutional Networks for Action Recognition in Videos
In Spotlight Session 4: Deep spotlights
Karen Simonyan · Andrew Zisserman
Spotlight
Tue Dec 09 02:40 PM -- 03:00 PM (PST) @ Level 2, room 210
Searching for Higgs Boson Decay Modes with Deep Learning
In Spotlight Session 4: Deep spotlights
Peter Sadowski · Daniel Whiteson · Pierre Baldi
Spotlight
Tue Dec 09 02:40 PM -- 03:00 PM (PST) @ Level 2, room 210
Semi-supervised Learning with Deep Generative Models
In Spotlight Session 4: Deep spotlights
Diederik Kingma · Shakir Mohamed · Danilo Jimenez Rezende · Max Welling
Spotlight
Tue Dec 09 02:40 PM -- 03:00 PM (PST) @ Level 2, room 210
Learning to Discover Efficient Mathematical Identities
In Spotlight Session 4: Deep spotlights
Wojciech Zaremba · Karol Kurach · Rob Fergus
Spotlight
Tue Dec 09 02:40 PM -- 03:00 PM (PST) @ Level 2, room 210
Learning Deep Features for Scene Recognition using Places Database
In Spotlight Session 4: Deep spotlights
Bolei Zhou · Agata Lapedriza · Jianxiong Xiao · Antonio Torralba · Aude Oliva
Spotlight
Tue Dec 09 02:40 PM -- 03:00 PM (PST) @ Level 2, room 210
Convolutional Kernel Networks
In Spotlight Session 4: Deep spotlights
Julien Mairal · Piotr Koniusz · Zaid Harchaoui · Cordelia Schmid
Break
Tue Dec 09 03:50 PM -- 04:15 PM (PST)
Coffee Break
Demonstration
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 230B
Machine Learning in the Browser
In Demonstrations
Ted Meeds · Remco Hendriks · Said Al Faraby · Magiel Bruntink · Max Welling
Demonstration
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 230B
Neural Machine Translation
In Demonstrations
Bart van Merriënboer · Kyunghyun Cho · Dzmitry Bahdanau · Yoshua Bengio
Demonstration
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 230B
Real-time machine-vision applications on a million-spiking-neuron chip
In Demonstrations
Paul Merolla · Rodrigo Alvarez-Icaza · Arnon Amir · Luca Longinotti · Sim Bamford · Brian Taba · Dharmendra Modha · Filipp Akopyan
Demonstration
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 230B
BIDMach: High Performance Machine Learning through Codesign and Rooflining
In Demonstrations
Huasha Zhao · Biye Jiang · John Canny
Demonstration
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 230B
Toronto Deep Learning
In Demonstrations
Jamie Kiros · Russ Salakhutdinov · Nitish Srivastava · Yichuan Charlie Tang
Demonstration
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 230B
Playing with Convnets
In Demonstrations
Jason Yosinski · Hod Lipson
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
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
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
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
Design Principles of the Hippocampal Cognitive Map
In Poster Session
Kimberly Stachenfeld · Matthew Botvinick · Samuel J Gershman
[ 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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Learning Mixtures of Submodular Functions for Image Collection Summarization
In Poster Session
Sebastian Tschiatschek · Rishabh K Iyer · Haochen Wei · Jeffrey A Bilmes
[ 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
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
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
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
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
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
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
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
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
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
Do Convnets Learn Correspondence?
In Poster Session
Jonathan L Long · Ning Zhang · Trevor Darrell
[ 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 Chao · Kristen Grauman · Fei Sha
[ 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
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
Efficient Partial Monitoring with Prior Information
In Poster Session
Hastagiri P Vanchinathan · Gábor Bartók · Andreas Krause
[ 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
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
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
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
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
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
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
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
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
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
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
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
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
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 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
A Dual Algorithm for Olfactory Computation in the Locust Brain
In Poster Session
Sina Tootoonian · Mate Lengyel
[ 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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Scalable Inference for Neuronal Connectivity from Calcium Imaging
In Poster Session
Alyson Fletcher · Sundeep Rangan
[ 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
Online and Stochastic Gradient Methods for Non-decomposable Loss Functions
In Poster Session
Purushottam Kar · Harikrishna Narasimhan · Prateek Jain
[ 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] 
Session
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 230B
Demonstrations
Session
Tue Dec 09 04:00 PM -- 08:59 PM (PST) @ Level 2, room 210D
Poster Session