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Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #1
Learning Active Learning from Data
Ksenia Konyushkova · Raphael Sznitman · Pascal Fua
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #2
Scalable Variational Inference for Dynamical Systems
Stefan Bauer · Nico S Gorbach · Joachim M Buhmann
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #3
Active Learning from Peers
Keerthiram Murugesan · Jaime Carbonell
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #4
Gradient Episodic Memory for Continuum Learning
David Lopez-Paz · Marc'Aurelio Ranzato
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #5
Consistent Multitask Learning with Nonlinear Output Relations
Carlo Ciliberto · Alessandro Rudi · Lorenzo Rosasco · Massimiliano Pontil
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #6
Joint distribution optimal transportation for domain adaptation
Nicolas Courty · Rémi Flamary · Amaury Habrard · Alain Rakotomamonjy
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #7
Learning Multiple Tasks with Deep Relationship Networks
Mingsheng Long · Jianmin Wang · Philip S Yu
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #8
Label Efficient Learning of Transferable Representations acrosss Domains and Tasks
Zelun Luo · Yuliang Zou · Judy Hoffman · Li Fei-Fei
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #9
Matching neural paths: transfer from recognition to correspondence search
Nikolay Savinov · Lubor Ladicky · Marc Pollefeys
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #10
Do Deep Neural Networks Suffer from Crowding?
Anna Volokitin · Gemma Roig · Tomaso A Poggio
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #11
SVCCA: Singular Vector Canonical Correlation Analysis for Deep Understanding and Improvement
Maithra Raghu · Justin Gilmer · Jason Yosinski · Jascha Sohl-Dickstein
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #12
Neural Expectation Maximization
Klaus Greff · Sjoerd van Steenkiste · Jürgen Schmidhuber
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #13
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
Charles Ruizhongtai Qi · Li Yi · Hao Su · Leonidas J Guibas
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #14
Preserving Proximity and Global Ranking for Node Embedding
Yi-An Lai · Chin-Chi Hsu · Wen Hao Chen · Mi-Yen Yeh · Shou-De Lin
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #15
Unsupervised Transformation Learning via Convex Relaxations
Tatsunori B Hashimoto · Percy Liang · John C Duchi
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #16
Hunt For The Unique, Stable, Sparse And Fast Feature Learning On Graphs
Saurabh Verma · Zhi-Li Zhang
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #17
Deep Subspace Clustering Network
Pan Ji · Tong Zhang · Hongdong Li · Mathieu Salzmann · Ian Reid
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #18
Learning Graph Embeddings with Embedding Propagation
Alberto Garcia Duran · Mathias Niepert
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #19
Unsupervised Sequence Classification using Sequential Output Statistics
Yu Liu · Jianshu Chen · Li Deng
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #20
Context Selection for Embedding Models
Liping Liu · Francisco Ruiz · David Blei
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #21
Probabilistic Rule Realization and Selection
Haizi Yu · Tianxi Li · Lav Varshney
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #22
Trimmed Density Ratio Estimation
Song Liu · Akiko Takeda · Taiji Suzuki · Kenji Fukumizu
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #23
A Minimax Optimal Algorithm for Crowdsourcing
Richard Combes · Thomas Bonald
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #24
Introspective Classification with Convolutional Nets
Long Jin · Justin Lazarow · Zhuowen Tu
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #25
Adaptive Classification for Prediction Under a Budget
Feng Nan · Venkatesh Saligrama
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #26
Learning with Feature Evolvable Streams
Bo-Jian Hou · Lijun Zhang · Zhi-Hua Zhou
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #27
Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification
Bikash Joshi · Massih-Reza Amini · Ioannis Partalas · Franck Iutzeler · Yury Maximov
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #28
Adversarial Surrogate Losses for Ordinal Regression
Rizal Fathony · Mohammad Ali Bashiri · Brian Ziebart
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #29
Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation
Matthias Hein · Maksym Andriushchenko
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #30
Cost efficient gradient boosting
Sven Peter · Ferran Diego · Fred Hamprecht · Boaz Nadler
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #31
A Highly Efficient Gradient Boosting Decision Tree
Guolin Ke · Qi Meng · Taifeng Wang · Wei Chen · Weidong Ma · Tie-Yan Liu
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #32
Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach
Emmanouil Platanios · Hoifung Poon · Tom M Mitchell · Eric J Horvitz
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #33
Inferring Generative Model Structure with Static Analysis
Paroma Varma · Bryan He · Payal Bajaj · Nishith Khandwala · Christopher Ré
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #34
Scalable Model Selection for Belief Networks
Zhao Song · Yusuke Muraoka · Ryohei Fujimaki · Lawrence Carin
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #35
Time-dependent spatially varying graphical models, with application to brain fMRI data analysis
Kristjan Greenewald · Seyoung Park · Shuheng Zhou · Alexander Giessing
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #36
A Bayesian Data Augmentation Approach for Learning Deep Models
Toan Tran · Trung Pham · Gustavo Carneiro · Lyle Palmer · Ian Reid
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #37
Union of Intersections (UoI) for Interpretable Data Driven Discovery and Prediction
Kristofer Bouchard · Alejandro Bujan · Farbod Roosta-Khorasani · Shashanka Ubaru · Mr. Prabhat · Antoine Snijders · Jian-Hua Mao · Edward Chang · Michael W Mahoney · Sharmodeep Bhattacharya
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #38
Deep Learning with Topological Signatures
Christoph Hofer · Roland Kwitt · Marc Niethammer · Andreas Uhl
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #39
Practical Hash Functions for Similarity Estimation and Dimensionality Reduction
Søren Dahlgaard · Mathias Knudsen · Mikkel Thorup
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #40
Maxing and Ranking with Few Assumptions
Venkatadheeraj Pichapati · Alon Orlitsky · Vaishakh Ravindrakumar · Moein Falahatgar · Yi Hao
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #41
Kernel functions based on triplet comparisons
Matthäus Kleindessner · Ulrike von Luxburg
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #42
Learning A Structured Optimal Bipartite Graph for Co-Clustering
Feiping Nie · Xiaoqian Wang · Heng Huang
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #43
Multi-way Interacting Regression via Factorization Machines
Mikhail Yurochkin · XuanLong Nguyen · nikolaos Vasiloglou
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #44
Maximum Margin Interval Trees
Alexandre Drouin · Toby Hocking · Francois Laviolette
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #45
Kernel Feature Selection via Conditional Covariance Minimization
Jianbo Chen · Mitchell Stern · Martin J Wainwright · Michael Jordan
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #46
Improved Graph Laplacian via Geometric Self-Consistency
Dominique Joncas · Marina Meila · James McQueen
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #47
Mixture-Rank Matrix Approximation for Collaborative Filtering
Dongsheng Li · Chao Chen · Wei Liu · Tun Lu · Ning Gu · Stephen Chu
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #48
Predictive State Recurrent Neural Networks
Carlton Downey · Ahmed Hefny · Byron Boots · Geoffrey Gordon · Boyue Li
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #49
Hierarchical Methods of Moments
Matteo Ruffini · Guillaume Rabusseau · Borja Balle
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #50
Multitask Spectral Learning of Weighted Automata
Guillaume Rabusseau · Borja Balle · Joelle Pineau
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #51
Generative Local Metric Learning for Kernel Regression
Yung-Kyun Noh · Masashi Sugiyama · Kee-Eung Kim · Frank Park · Daniel Lee
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #52
Principles of Riemannian Geometry in Neural Networks
Michael Hauser · Asok Ray
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #53
Subset Selection for Sequential Data
Ehsan Elhamifar
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #54
On Quadratic Convergence of DC Proximal Newton Algorithm in Nonconvex Sparse Learning
Xingguo Li · Lin Yang · Jason Ge · Jarvis Haupt · Tong Zhang · Tuo Zhao
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #55
Fast, Sample-Efficient Algorithms for Structured Phase Retrieval
Gauri Jagatap · Chinmay Hegde
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #56
k-Support and Ordered Weighted Sparsity for Overlapping Groups: Hardness and Algorithms
Cong Han Lim · Stephen Wright
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #57
Parametric Simplex Method for Sparse Learning
Haotian Pang · Tuo Zhao · Han Liu · Robert J Vanderbei
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #58
Learned D-AMP: Principled Neural-network-based Compressive Image Recovery
Chris Metzler · Ali Mousavi · Richard Baraniuk
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #59
FALKON: An Optimal Large Scale Kernel Method
Alessandro Rudi · Luigi Carratino · Lorenzo Rosasco
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #60
Recursive Sampling for the Nystrom Method
Cameron Musco · Christopher Musco
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #61
Efficient Approximation Algorithms for Strings Kernel Based Sequence Classification
Muhammad Farhan · Juvaria Tariq · Arif Zaman · Mudassir Shabbir · Imdad Ullah Khan
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #62
Robust Hypothesis Test for Functional Effect with Gaussian Processes
Jeremiah Liu · Brent Coull
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #63
Invariance and Stability of Deep Convolutional Representations
Alberto Bietti · Julien Mairal
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #64
Testing and Learning on Distributions with Symmetric Noise Invariance
Law Ho Chung · Christopher Yau · Dino Sejdinovic
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #65
An Empirical Study on The Properties of Random Bases for Kernel Methods
Maximilian Alber · Pieter-Jan Kindermans · Kristof Schütt · Klaus-Robert Müller · Fei Sha
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #66
Max-Margin Invariant Features from Transformed Unlabelled Data
Dipan Pal · Ashwin Kannan · Gautam Arakalgud · Marios Savvides
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #67
SafetyNets: Verifiable Execution of Deep Neural Networks on an Untrusted Cloud
Zahra Ghodsi · Tianyu Gu · Siddharth Garg
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #68
Multi-output Polynomial Networks and Factorization Machines
Mathieu Blondel · Vlad Niculae · Takuma Otsuka · Naonori Ueda
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #69
The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process
Hongyuan Mei · Jason Eisner
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #70
Maximizing the Spread of Influence from Training Data
Eric Balkanski · Nicole Immorlica · Yaron Singer
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #71
Inductive Representation Learning on Large Graphs
Will Hamilton · Zhitao Ying · Jure Leskovec
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #72
A Meta-Learning Perspective on Cold-Start Recommendations for Items
Manasi Vartak · Hugo Larochelle · Arvind Thiagarajan
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #73
DropoutNet: Addressing Cold Start in Recommender Systems
Maksims Volkovs · Guangwei Yu · Tomi Poutanen
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #74
Federated Multi-Task Learning
Virginia Smith · Maziar Sanjabi · Chao-Kai Chiang · Ameet S Talwalkar
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #75
Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks
Arjun K Bansal · William Constable · Oguz Elibol · Stewart Hall · Luke Hornof · Amir Khosrowshahi · Carey Kloss · Urs Köster · Marcel Nassar · Naveen Rao · Xin Wang · Tristan Webb
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #76
Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes
Ahmed M. Alaa · Mihaela van der Schaar
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #77
Tomography of the London Underground: a Scalable Model for Origin-Destination Data
Nicolò Colombo · Ricardo Silva · Soong Moon Kang
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #78
Matching on Balanced Nonlinear Representations for Treatment Effects Estimation
Sheng Li · Yun Fu
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #79
MolecuLeNet: A continuous-filter convolutional neural network for modeling quantum interactions
Kristof Schütt · Pieter-Jan Kindermans · Huziel Enoc Sauceda Felix · Stefan Chmiela · Alexandre Tkatchenko · Klaus-Robert Müller
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #80
Hiding Images in Plain Sight: Deep Steganography
Shumeet Baluja
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #81
Universal Style Transfer via Feature Transforms
Yijun Li · Chen Fang · Jimei Yang · Zhaowen Wang · Xin Lu · Ming-Hsuan Yang
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #82
Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin
Ritambhara Singh · Jack Lanchantin · Yanjun Qi
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #83
Unbounded cache model for online language modeling with open vocabulary
Edouard Grave · Moustapha Cisse · Armand Joulin
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #84
Deconvolutional Paragraph Representation Learning
Yizhe Zhang · Dinghan Shen · Guoyin Wang · Zhe Gan · Ricardo Henao · Lawrence Carin
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #85
Analyzing Hidden Representations in End-to-End Automatic Speech Recognition Systems
Yonatan Belinkov · James Glass
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #86
Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model
Jiasen Lu · Anitha Kannan · Jianwei Yang · Dhruv Batra · Devi Parikh
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #87
Teaching Machines to Describe Images with Natural Language Feedback
huan ling · Sanja Fidler
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #88
High-Order Attention Models for Visual Question Answering
Idan Schwartz · Alexander Schwing · Tamir Hazan
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #89
Visual Reference Resolution using Attention Memory for Visual Dialog
Paul Hongsuck Seo · Andreas Lehrmann · Bohyung Han · Leonid Sigal
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #90
Semi-Supervised Learning for Optical Flow with Generative Adversarial Networks
Wei-Sheng Lai · Jia-Bin Huang · Ming-Hsuan Yang
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #91
Associative Embedding: End-to-End Learning for Joint Detection and Grouping
Alejandro Newell · Zhiao Huang · Jia Deng
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #92
Learning Deep Structured Multi-Scale Features using Attention-Gated CRFs for Contour Prediction
Dan Xu · Wanli Ouyang · Xavier Alameda-Pineda · Elisa Ricci · Xiaogang Wang · Nicu Sebe
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #93
Incorporating Side Information by Adaptive Convolution
Di Kang · Debarun Dhar · Antoni Chan
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #94
Learning a Multi-View Stereo Machine
Abhishek Kar · Jitendra Malik · Christian Häne
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #95
Pose Guided Person Image Generation
Liqian Ma · Xu Jia · Qianru Sun · Bernt Schiele · Tinne Tuytelaars · Luc Van Gool
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #96
Working hard to know your neighbor's margins: Local descriptor learning loss
Anastasiia Mishchuk · Dmytro Mishkin · Filip Radenovic · Jiri Matas
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #97
Multimodal Image-to-Image Translation by Enforcing Bi-Cycle Consistency
Jun-Yan Zhu · Richard Zhang · Deepak Pathak · Trevor Darrell · Oliver Wang · Eli Shechtman · Alexei Efros
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #98
Deep supervised discrete hashing
Qi Li · Zhenan Sun · Ran He · Tieniu Tan
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #99
SVD-Softmax: Fast Softmax Approximation on Large Vocabulary Neural Networks
Kyuhong Shim · Minjae Lee · Iksoo Choi · Yoonho Boo · Wonyong Sung
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #100
Hash Embeddings for Efficient Word Representations
Dan Tito Svenstrup · Jonas Hansen · Ole Winther
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #101
A Regularized Framework for Sparse and Structured Neural Attention
Vlad Niculae · Mathieu Blondel
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #102
Attentional Pooling for Action Recognition
Rohit Girdhar · Deva Ramanan
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #103
Plan, Attend, Generate: Planning for Sequence-to-Sequence Models
Caglar Gulcehre · Francis Dutil · Adam Trischler · Yoshua Bengio
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #104
Dilated Recurrent Neural Networks
Shiyu Chang · Yang Zhang · Wei Han · Mo Yu · Xiaoxiao Guo · Wei Tan · Xiaodong Cui · Michael Witbrock · Mark A Hasegawa-Johnson · Thomas Huang
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #105
Thalamus Gated Recurrent Modules
Danijar Hafner · Alexander Irpan · James Davidson · Nicolas Heess
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #106
Wasserstein Learning of Deep Generative Point Process Models
SHUAI XIAO · Mehrdad Farajtabar · Xiaojing Ye · Junchi Yan · Le Song · Hongyuan Zha
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #107
Stabilizing Training of Generative Adversarial Networks through Regularization
Kevin Roth · Aurelien Lucchi · Sebastian Nowozin · Thomas Hofmann
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #108
Neural Variational Inference and Learning in Undirected Graphical Models
Volodymyr Kuleshov · Stefano Ermon
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #109
Adversarial Symmetric Variational Autoencoder
Yuchen Pu · Weiyao Wang · Ricardo Henao · Liqun Chen · Zhe Gan · Chunyuan Li · Lawrence Carin
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #110
Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space
Liwei Wang · Alexander Schwing · Svetlana Lazebnik
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #111
Z-Forcing: Training Stochastic Recurrent Networks
Anirudh Goyal ALIAS PARTH GOYAL · Alessandro Sordoni · Marc-Alexandre Côté · Nan Ke · Yoshua Bengio
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #112
One-Shot Imitation Learning
Yan Duan · Marcin Andrychowicz · Bradly Stadie · OpenAI Jonathan Ho · Jonas Schneider · Ilya Sutskever · Pieter Abbeel · Wojciech Zaremba
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #113
Reconstruct & Crush Network
Erinc Merdivan · Mohammad Reza Loghmani · Matthieu Geist
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #114
Fader Networks: Generating Image Variations by Sliding Attribute Values
Guillaume Lample · Neil Zeghidour · Nicolas Usunier · Antoine Bordes · Ludovic DENOYER · Marc'Aurelio Ranzato
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #115
PredRNN: Recurrent Neural Networks for Video Prediction using Spatiotemporal LSTMs
Yunbo Wang · Mingsheng Long · Jianmin Wang · Philip S Yu
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #116
Multi-agent Predictive Modeling with Attentional CommNets
Yedid Hoshen
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #117
Real Time Image Saliency for Black Box Classifiers
Piotr Dabkowski · Yarin Gal
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #118
Prototypical Networks for Few-shot Learning
Jake Snell · Kevin Swersky · Richard Zemel
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #119
Few-Shot Learning Through an Information Retrieval Lens
Eleni Triantafillou · Richard Zemel · Raquel Urtasun
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #120
The Reversible Residual Network: Backpropagation Without Storing Activations
Aidan N Gomez · Mengye Ren · Raquel Urtasun · Roger Grosse
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #121
Gated Recurrent Convolution Neural Network for OCR
Jianfeng Wang · Xiaolin Hu
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #122
Learning Efficient Object Detection Models with Knowledge Distillation
Guobin Chen · Wongun Choi · Xiang Yu · Tony Han · Manmohan Chandraker
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #123
Active Bias: Training a More Accurate Neural Network by Emphasizing High Variance Samples
Haw-Shiuan Chang · Andrew McCallum · Erik Learned-Miller
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #124
Decoupling "when to update" from "how to update"
Eran Malach · Shai Shalev-Shwartz
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #125
Langevin Dynamics with Continuous Tempering for Training Deep Neural Networks
Nanyang Ye · Zhanxing Zhu · Rafal Mantiuk
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #126
Differentiable Learning of Logical Rules for Knowledge Base Reasoning
Fan Yang · Zhilin Yang · William W Cohen
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #127
Deliberation Networks: Sequence Generation Beyond One-Pass Decoding
Yingce Xia · Lijun Wu · Jianxin Lin · Fei Tian · Tao Qin · Tie-Yan Liu
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #128
Neural Program Meta-Induction
Jacob Devlin · Rudy R Bunel · Rishabh Singh · Matthew Hausknecht · Pushmeet Kohli
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #129
Saliency-based Sequential Image Attention with Multiset Prediction
Sean Welleck · Kyunghyun Cho · Zheng Zhang
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #130
Protein Interface Prediction using Graph Convolutional Networks
Alex Fout · Basir Shariat · Jonathon Byrd · Asa Ben-Hur
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #131
Dual-Agent GANs for Photorealistic and Identity Preserving Profile Face Synthesis
Jian Zhao · Lin Xiong · Panasonic Karlekar Jayashree · Jianshu Li · Fang Zhao · Zhecan Wang · Panasonic Sugiri Pranata · Panasonic Shengmei Shen · Jiashi Feng
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #132
Toward Robustness against Label Noise in Training Deep Discriminative Neural Networks
Arash Vahdat
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #133
Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations
Eirikur Agustsson · Fabian Mentzer · Michael Tschannen · Lukas Cavigelli · Radu Timofte · Luca Benini · Luc V Gool
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #134
Selective Classification for Deep Neural Networks
Yonatan Geifman · Ran El-Yaniv
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #135
Deep Lattice Networks and Partial Monotonic Functions
Seungil You · David Ding · Kevin Canini · Jan Pfeifer · Maya Gupta
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #136
Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon
Xin Dong · Shangyu Chen · Sinno Pan
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #137
Bayesian Compression for Deep Learning
Christos Louizos · Karen Ullrich · Max Welling
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #138
Lower bounds on the robustness to adversarial perturbations
Jonathan Peck · Yvan Saeys · Bart Goossens · Joris Roels
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #139
Sobolev Training for Neural Networks
Wojciech M. Czarnecki · Simon Osindero · Max Jaderberg · Grzegorz Swirszcz · Razvan Pascanu
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #140
Structured Bayesian Pruning via Log-Normal Multiplicative Noise
Kirill Neklyudov · Dmitry Molchanov · Arsenii Ashukha · Dmitry Vetrov
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #141
Population Matching Discrepancy and Applications in Deep Learning
Jianfei Chen · Chongxuan LI · Yizhong Ru · Jun Zhu
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #142
Investigating the learning dynamics of deep neural networks using random matrix theory
Jeffrey Pennington · Samuel Schoenholz · Surya Ganguli
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #143
Robust Imitation of Diverse Behaviors
Ziyu Wang · Josh Merel · Scott Reed · Nando de Freitas · Gregory Wayne · Nicolas Heess
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #144
Question Asking as Program Generation
Anselm Rothe · Brenden Lake · Todd Gureckis
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #145
Variational Laws of Visual Attention for Dynamic Scenes
Dario Zanca · Marco Gori
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #146
Flexible statistical inference for mechanistic models of neural dynamics
Jan-Matthis Lueckmann · Pedro J Goncalves · Giacomo Bassetto · Kaan Oecal · Marcel Nonnenmacher · Jakob H Macke
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #147
Training recurrent networks to generate hypotheses about how the brain solves hard navigation problems
Ingmar Kanitscheider · Ila Fiete
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #148
YASS: Yet Another Spike Sorter
Jin Hyung Lee · David E Carlson · Hooshmand Shokri Razaghi · Weichi Yao · Georges A Goetz · E.J. Chichilnisky · Espen Hagen · Gaute T. Einevoll · Liam Paninski
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #149
Neural system identification for large populations separating "what" and "where"
David Klindt · Alexander Ecker · Thomas Euler · Matthias Bethge
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #150
A simple model of recognition and recall memory
Nisheeth Srivastava · Edward Vul
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #151
Gaussian process based nonlinear latent structure discovery in multivariate spike train data
Anqi Wu · Nicholas Roy · Stephen Keeley · Jonathan W Pillow
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #152
Deep adversarial neural decoding
Yağmur Güçlütürk · Umut Güçlü · Katja Seeliger · Sander Bosch · Rob van Lier · Marcel A. J. van Gerven
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #153
Cross-Spectral Factor Analysis
Neil Gallagher · Kyle Ulrich · Austin Talbot · Kafui Dzirasa · David E Carlson · Lawrence Carin
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #154
Cognitive Impairment Prediction in Alzheimer’s Disease with Regularized Modal Regression
Xiaoqian Wang · Hong Chen · Dinggang Shen · Heng Huang
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #155
Stochastic Submodular Maximization: The Case of Coverage Functions
Mohammad Karimi · Mario Lucic · Hamed Hassani · Andreas Krause
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #156
Gradient Methods for Submodular Maximization
Hamed Hassani · Mahdi Soltanolkotabi · Amin Karbasi
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #157
Non-convex Finite-Sum Optimization Via SCSG Methods
Lihua Lei · Cheng Ju · Jianbo Chen · Michael Jordan
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #158
Influence Maximization with $\varepsilon$-Almost Submodular Threshold Function
Qiang Li · Wei Chen · Institute of Computing Xiaoming Sun · Institute of Computing Jialin Zhang
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #159
Subset Selection under Noise
Chao Qian · Jing-Cheng Shi · Yang Yu · Ke Tang · Zhi-Hua Zhou
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #160
Polynomial time algorithms for dual volume sampling
Chengtao Li · Stefanie Jegelka · Suvrit Sra
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #161
Lookahead Bayesian Optimization with Inequality Constraints
Remi Lam · Karen Willcox
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #162
Non-monotone Continuous DR-submodular Maximization: Structure and Algorithms
An Bian · Joachim M Buhmann · Andreas Krause · Kfir Levy
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #163
Solving (Almost) all Systems of Random Quadratic Equations
Gang Wang · Georgios Giannakis · Yousef Saad · Jie Chen
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #164
Learning ReLUs via Gradient Descent
Mahdi Soltanolkotabi
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #165
Stochastic Mirror Descent for Non-Convex Optimization
Zhengyuan Zhou · Panayotis Mertikopoulos · Nicholas Bambos · Stephen Boyd · Peter W Glynn
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #166
Accelerated First-order Methods for Geodesically Convex Optimization on Riemannian Manifolds
Yuanyuan Liu · Fanhua Shang · James Cheng · Hong Cheng · Licheng Jiao
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #167
On the Fine-Grained Complexity of Empirical Risk Minimization: Kernel Methods and Neural Networks
Arturs Backurs · Piotr Indyk · Ludwig Schmidt
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #168
Large-Scale Quadratically Constrained Quadratic Program via Low-Discrepancy Sequences
Kinjal Basu · Ankan Saha · Shaunak Chatterjee
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #169
A New Alternating Direction Method for Linear Programming
Sinong Wang · Ness Shroff
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #170
Dykstra's Algorithm, ADMM, and Coordinate Descent: Connections, Insights, and Extensions
Ryan Tibshirani
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #171
Smooth Primal-Dual Coordinate Descent Algorithms for Nonsmooth Convex Optimization
Ahmet Alacaoglu · Quoc Tran Dinh · Olivier Fercoq · Volkan Cevher
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #172
First-Order Adaptive Sample Size Methods to Reduce Complexity of Empirical Risk Minimization
Aryan Mokhtari · Alejandro Ribeiro
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #173
Accelerated consensus via Min-Sum Splitting
Patrick Rebeschini · Sekhar C Tatikonda
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #174
Integration Methods and Optimization Algorithms
Damien Scieur · Vincent Roulet · Francis Bach · Alexandre d'Aspremont
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #175
Efficient Use of Limited-Memory Resources to Accelerate Linear Learning
Celestine Dünner · Thomas Parnell · Martin Jaggi
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #176
A Screening Rule for l1-Regularized Ising Model Estimation
Zhaobin Kuang · Sinong Geng · David Page
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #177
Uprooting and Rerooting Higher-order Graphical Models
Adrian Weller · Mark Rowland
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #178
Concentration of Multilinear Functions of the Ising Model with Applications to Network Data
Constantinos Daskalakis · Nishanth Dikkala · Gautam Kamath
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #179
Inference in Graphical Models via Semidefinite Programming Hierarchies
Murat A. Erdogdu · Yash Deshpande · Andrea Montanari
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #180
Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting
Rebecca Morrison · Ricardo Baptista · Youssef Marzouk
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #181
Dynamic Importance Sampling for Anytime Bounds of the Partition Function
Qi Lou · Rina Dechter · Alexander Ihler
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #182
Nonbacktracking Bounds on the Influence in Independent Cascade Models
Emmanuel Abbe · Sanjeev Kulkarni · Eun Jee Lee
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #183
Rigorous Dynamics and Consistent Estimation in Arbitrarily Conditioned Linear Systems
Alyson Fletcher · Sundeep Rangan · Mojtaba Sahraee-Ardakan · Philip Schniter
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #184
Learning Disentangled Representations with Semi-Supervised Deep Generative Models
Siddharth Narayanaswamy · T. Brooks Paige · Jan-Willem van de Meent · Alban Desmaison · Frank Wood · Noah Goodman · Pushmeet Kohli · Philip Torr
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #185
Gauging Variational Inference
Sung-Soo Ahn · Michael Chertkov · Jinwoo Shin
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #186
Variational Inference via $\chi$ Upper Bound Minimization
Adji Bousso Dieng · Dustin Tran · Rajesh Ranganath · John Paisley · David Blei
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #187
Collapsed variational Bayes for Markov jump processes
Boqian Zhang · Jiangwei Pan · Vinayak A Rao
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #188
Bayesian Dyadic Trees and Histograms for Regression
Stéphanie van der Pas · Veronika Rockova
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #189
Differentially private Bayesian learning on distributed data
Mikko Heikkilä · Eemil Lagerspetz · Samuel Kaski · Kana Shimizu · Sasu Tarkoma · Antti Honkela
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #190
Model-Powered Conditional Independence Test
Rajat Sen · Ananda Theertha Suresh · Karthikeyan Shanmugam · Alexandros Dimakis · Sanjay Shakkottai
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #191
When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness
Chris Russell · Ricardo Silva · Matt Kusner · Joshua Loftus
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #192
Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes
Jianshu Chen · Chong Wang · Lin Xiao · Ji He · Lihong Li · Li Deng
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #193
Probabilistic Models for Integration Error in the Assessment of Functional Cardiac Models
Chris Oates · Steven Niederer · Angela Lee · François-Xavier Briol · Mark Girolami
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #194
Expectation Propagation for t-Exponential Family Using Q-Algebra
Futoshi Futami · Issei Sato · Masashi Sugiyama
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #195
A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks
Qinliang Su · xuejun Liao · Lawrence Carin
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #196
Clone MCMC: Parallel High-Dimensional Gaussian Gibbs Sampling
Andrei-Cristian Barbos · Francois Caron · Jean-François Giovannelli · Arnaud Doucet
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #197
Learning spatiotemporal piecewise-geodesic trajectories from longitudinal manifold-valued data
Stéphanie ALLASSONNIERE · Juliette Chevallier
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #198
Scalable Levy Process Priors for Spectral Kernel Learning
Phillip A Jang · Andrew Loeb · Matthew Davidow · Andrew Wilson
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #199
Inferring The Latent Structure of Human Decision-Making from Raw Visual Inputs
Yunzhu Li · Jiaming Song · Stefano Ermon
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #200
Hybrid Reward Architecture for Reinforcement Learning
Harm Van Seijen · Romain Laroche · Mehdi Fatemi · Joshua Romoff
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #201
Shallow Updates for Deep Reinforcement Learning
Nir Levine · Tom Zahavy · Daniel J Mankowitz · Aviv Tamar · Shie Mannor
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #202
Towards Generalization and Simplicity in Continuous Control
Aravind Rajeswaran · Kendall Lowrey · Emanuel Todorov · Sham Kakade
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #203
Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning
Shixiang Gu · Tim Lillicrap · Richard E Turner · Zoubin Ghahramani · Bernhard Schölkopf · Sergey Levine
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #204
Scalable Planning with Tensorflow for Hybrid Nonlinear Domains
Ga Wu · Buser Say · Scott Sanner
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #205
Task-based End-to-end Model Learning in Stochastic Optimization
Priya Donti · J. Zico Kolter · Brandon Amos
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #206
Value Prediction Network
Junhyuk Oh · Satinder Singh · Honglak Lee
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #207
Variable Importance Using Decision Trees
Arash Amini · Seyed Jalil Kazemitabar · Adam Bloniarz · Ameet S Talwalkar
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #208
The Expressive Power of Neural Networks: A View from the Width
Zhou Lu · Hongming Pu · Feicheng Wang · Zhiqiang Hu · Liwei Wang
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #209
SGD Learns the Conjugate Kernel Class of the Network
Amit Daniely
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #210
Radon Machines: Effective Parallelisation for Machine Learning
Michael Kamp · Mario Boley · Olana Missura · Thomas Gärtner
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #211
Noise-Tolerant Interactive Learning Using Pairwise Comparisons
Yichong Xu · Hongyang Zhang · Aarti Singh · Artur Dubrawski · Kyle Miller
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #212
A PAC-Bayesian Analysis of Randomized Learning with Application to Stochastic Gradient Descent
Ben London
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #213
Revisiting Perceptron: Efficient and Label-Optimal Learning of Halfspaces
Songbai Yan · Chicheng Zhang
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #214
Sample and Computationally Efficient Learning Algorithms under S-Concave Distributions
Maria-Florina Balcan · Hongyang Zhang
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #215
Nearest-Neighbor Sample Compression: Efficiency, Consistency, Infinite Dimensions
Aryeh Kontorovich · Sivan Sabato · Roi Weiss
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #216
Learning Identifiable Gaussian Bayesian Networks in Polynomial Time and Sample Complexity
Asish Ghoshal · Jean Honorio
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #217
From which world is your graph
Cheng Li · Varun Kanade · Felix MF Wong · Zhenming Liu
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #218
Mean Field Residual Networks: On the Edge of Chaos
Ge Yang
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #219
Learning from uncertain curves: The 2-Wasserstein metric for Gaussian processes
Anton Mallasto · Aasa Feragen
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #220
On clustering network-valued data
Soumendu Sundar Mukherjee · Purnamrita Sarkar · Lizhen Lin
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #221
On the Power of Truncated SVD for General High-rank Matrix Estimation Problems
Simon Du · Yining Wang · Aarti Singh
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #222
AdaGAN: Boosting Generative Models
Ilya Tolstikhin · Sylvain Gelly · Olivier Bousquet · Carl-Johann SIMON-GABRIEL · Bernhard Schölkopf
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #223
Discovering Potential Influence via Information Bottleneck
Weihao Gao · Sreeram Kannan · Hyeji Kim · Sewoong Oh · Pramod Viswanath
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #224
Phase Transitions in the Pooled Data Problem
Jonathan Scarlett · Volkan Cevher
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #225
Coded Distributed Computing for Inverse Problems
Yaoqing Yang · Pulkit Grover · Soummya Kar
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #226
Query Complexity of Clustering with Side Information
Arya Mazumdar · Barna Saha
Poster
Mon Dec 4th 06:30 -- 10:30 PM @ Pacific Ballroom #227
Revisit Fuzzy Neural Network: Demystifying Batch Normalization and ReLU with Generalized Hamming Network
Lixin Fan