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Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #1
Learning Active Learning from Data
In Posters Mon
Ksenia Konyushkova · Raphael Sznitman · Pascal Fua
[ Code]  [ Paper]  [ Poster] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #2
Scalable Variational Inference for Dynamical Systems
In Posters Mon
Nico S Gorbach · Stefan Bauer · Joachim M Buhmann
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #3
Active Learning from Peers
In Posters Mon
Keerthiram Murugesan · Jaime Carbonell
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #4
Gradient Episodic Memory for Continual Learning
In Posters Mon
David Lopez-Paz · Marc'Aurelio Ranzato
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #5
Consistent Multitask Learning with Nonlinear Output Relations
In Posters Mon
Carlo Ciliberto · Alessandro Rudi · Lorenzo Rosasco · Massimiliano Pontil
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #6
Joint distribution optimal transportation for domain adaptation
In Posters Mon
Nicolas Courty · Rémi Flamary · Amaury Habrard · Alain Rakotomamonjy
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #7
Learning Multiple Tasks with Multilinear Relationship Networks
In Posters Mon
Mingsheng Long · ZHANGJIE CAO · Jianmin Wang · Philip S Yu
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #8
Label Efficient Learning of Transferable Representations acrosss Domains and Tasks
In Posters Mon
Zelun Luo · Yuliang Zou · Judy Hoffman · Li Fei-Fei
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #9
Matching neural paths: transfer from recognition to correspondence search
In Posters Mon
Nikolay Savinov · Lubor Ladicky · Marc Pollefeys
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #10
Do Deep Neural Networks Suffer from Crowding?
In Posters Mon
Anna Volokitin · Gemma Roig · Tomaso Poggio
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #11
SVCCA: Singular Vector Canonical Correlation Analysis for Deep Learning Dynamics and Interpretability
In Posters Mon
Maithra Raghu · Justin Gilmer · Jason Yosinski · Jascha Sohl-Dickstein
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #12
Neural Expectation Maximization
In Posters Mon
Klaus Greff · Sjoerd van Steenkiste · Jürgen Schmidhuber
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #13
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
In Posters Mon
Charles Ruizhongtai Qi · Li Yi · Hao Su · Leonidas Guibas
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #14
PRUNE: Preserving Proximity and Global Ranking for Network Embedding
In Posters Mon
Yi-An Lai · Chin-Chi Hsu · Wen Hao Chen · Mi-Yen Yeh · Shou-De Lin
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #15
Unsupervised Transformation Learning via Convex Relaxations
In Posters Mon
Tatsunori Hashimoto · Percy Liang · John Duchi
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #16
Hunt For The Unique, Stable, Sparse And Fast Feature Learning On Graphs
In Posters Mon
Saurabh Verma · Zhi-Li Zhang
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #17
Deep Subspace Clustering Networks
In Posters Mon
Pan Ji · Tong Zhang · Hongdong Li · Mathieu Salzmann · Ian Reid
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #18
Learning Graph Representations with Embedding Propagation
In Posters Mon
Alberto Garcia Duran · Mathias Niepert
[ Paper]  [ Poster] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #19
Unsupervised Sequence Classification using Sequential Output Statistics
In Posters Mon
Yu Liu · Jianshu Chen · Li Deng
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #20
Context Selection for Embedding Models
In Posters Mon
Liping Liu · Francisco Ruiz · Susan Athey · David Blei
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #21
Probabilistic Rule Realization and Selection
In Posters Mon
Haizi Yu · Tianxi Li · Lav Varshney
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #22
Trimmed Density Ratio Estimation
In Posters Mon
Song Liu · Akiko Takeda · Taiji Suzuki · Kenji Fukumizu
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #23
A Minimax Optimal Algorithm for Crowdsourcing
In Posters Mon
Thomas Bonald · Richard Combes
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #24
Introspective Classification with Convolutional Nets
In Posters Mon
Long Jin · Justin Lazarow · Zhuowen Tu
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #25
Adaptive Classification for Prediction Under a Budget
In Posters Mon
Feng Nan · Venkatesh Saligrama
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #26
Learning with Feature Evolvable Streams
In Posters Mon
Bo-Jian Hou · Lijun Zhang · Zhi-Hua Zhou
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #27
Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification
In Posters Mon
Bikash Joshi · Massih R. Amini · Ioannis Partalas · Franck Iutzeler · Yury Maximov
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #28
Adversarial Surrogate Losses for Ordinal Regression
In Posters Mon
Rizal Fathony · Mohammad Ali Bashiri · Brian Ziebart
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #29
Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation
In Posters Mon
Matthias Hein · Maksym Andriushchenko
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #30
Cost efficient gradient boosting
In Posters Mon
Sven Peter · Ferran Diego · Fred Hamprecht · Boaz Nadler
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #31
LightGBM: A Highly Efficient Gradient Boosting Decision Tree
In Posters Mon
Guolin Ke · Qi Meng · Thomas Finley · Taifeng Wang · Wei Chen · Weidong Ma · Qiwei Ye · Tie-Yan Liu
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #32
Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach
In Posters Mon
Emmanouil Platanios · Hoifung Poon · Tom M Mitchell · Eric Horvitz
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #33
Inferring Generative Model Structure with Static Analysis
In Posters Mon
Paroma Varma · Bryan He · Payal Bajaj · Nishith Khandwala · Imon Banerjee · Daniel Rubin · Christopher Ré
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #34
Scalable Model Selection for Belief Networks
In Posters Mon
Zhao Song · Yusuke Muraoka · Ryohei Fujimaki · Lawrence Carin
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #35
Time-dependent spatially varying graphical models, with application to brain fMRI data analysis
In Posters Mon
Kristjan Greenewald · Seyoung Park · Shuheng Zhou · Alexander Giessing
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #36
A Bayesian Data Augmentation Approach for Learning Deep Models
In Posters Mon
Toan Tran · Trung Pham · Gustavo Carneiro · Lyle Palmer · Ian Reid
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #37
Union of Intersections (UoI) for Interpretable Data Driven Discovery and Prediction
In Posters Mon
Kristofer Bouchard · Alejandro Bujan · Farbod Roosta-Khorasani · Shashanka Ubaru · Mr. Prabhat · Antoine Snijders · Jian-Hua Mao · Edward Chang · Michael W Mahoney · Sharmodeep Bhattacharya
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #38
Deep Learning with Topological Signatures
In Posters Mon
Christoph Hofer · Roland Kwitt · Marc Niethammer · Andreas Uhl
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #39
Practical Hash Functions for Similarity Estimation and Dimensionality Reduction
In Posters Mon
Søren Dahlgaard · Mathias Knudsen · Mikkel Thorup
[ Code]  [ Paper]  [ Poster] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #40
Maxing and Ranking with Few Assumptions
In Posters Mon
Moein Falahatgar · Yi Hao · Alon Orlitsky · Venkatadheeraj Pichapati · Vaishakh Ravindrakumar
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #41
Kernel functions based on triplet comparisons
In Posters Mon
Matthäus Kleindessner · Ulrike von Luxburg
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #42
Learning A Structured Optimal Bipartite Graph for Co-Clustering
In Posters Mon
Feiping Nie · Xiaoqian Wang · Cheng Deng · Heng Huang
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #43
Multi-way Interacting Regression via Factorization Machines
In Posters Mon
Mikhail Yurochkin · XuanLong Nguyen · nikolaos Vasiloglou
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #44
Maximum Margin Interval Trees
In Posters Mon
Alexandre Drouin · Toby Hocking · Francois Laviolette
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #45
Kernel Feature Selection via Conditional Covariance Minimization
In Posters Mon
Jianbo Chen · Mitchell Stern · Martin J Wainwright · Michael Jordan
[ Paper]  [ Poster] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #46
Improved Graph Laplacian via Geometric Self-Consistency
In Posters Mon
Dominique Perrault-Joncas · Marina Meila · James McQueen
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #47
Mixture-Rank Matrix Approximation for Collaborative Filtering
In Posters Mon
Dongsheng Li · Chao Chen · Wei Liu · Tun Lu · Ning Gu · Stephen Chu
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #48
Predictive State Recurrent Neural Networks
In Posters Mon
Carlton Downey · Ahmed Hefny · Byron Boots · Geoffrey Gordon · Boyue Li
[ Code]  [ Paper]  [ Poster] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #49
Hierarchical Methods of Moments
In Posters Mon
Matteo Ruffini · Guillaume Rabusseau · Borja Balle
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #50
Multitask Spectral Learning of Weighted Automata
In Posters Mon
Guillaume Rabusseau · Borja Balle · Joelle Pineau
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #51
Generative Local Metric Learning for Kernel Regression
In Posters Mon
Yung-Kyun Noh · Masashi Sugiyama · Kee-Eung Kim · Frank Park · Daniel Lee
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #52
Principles of Riemannian Geometry in Neural Networks
In Posters Mon
Michael Hauser · Asok Ray
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #53
Subset Selection and Summarization in Sequential Data
In Posters Mon
Ehsan Elhamifar · M. Clara De Paolis Kaluza
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #54
On Quadratic Convergence of DC Proximal Newton Algorithm in Nonconvex Sparse Learning
In Posters Mon
Xingguo Li · Lin Yang · Jason Ge · Jarvis Haupt · Tong Zhang · Tuo Zhao
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #55
Fast, Sample-Efficient Algorithms for Structured Phase Retrieval
In Posters Mon
Gauri Jagatap · Chinmay Hegde
[ Code]  [ Paper]  [ Poster] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #56
k-Support and Ordered Weighted Sparsity for Overlapping Groups: Hardness and Algorithms
In Posters Mon
Cong Han Lim · Stephen Wright
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #57
Parametric Simplex Method for Sparse Learning
In Posters Mon
Haotian Pang · Han Liu · Robert J Vanderbei · Tuo Zhao
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #58
Learned D-AMP: Principled Neural Network based Compressive Image Recovery
In Posters Mon
Chris Metzler · Ali Mousavi · Richard Baraniuk
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #59
FALKON: An Optimal Large Scale Kernel Method
In Posters Mon
Alessandro Rudi · Luigi Carratino · Lorenzo Rosasco
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #60
Recursive Sampling for the Nystrom Method
In Posters Mon
Cameron Musco · Christopher Musco
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #61
Efficient Approximation Algorithms for Strings Kernel Based Sequence Classification
In Posters Mon
Muhammad Farhan · Juvaria Tariq · Arif Zaman · Mudassir Shabbir · Imdad Ullah Khan
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #62
Robust Hypothesis Test for Nonlinear Effect with Gaussian Processes
In Posters Mon
Jeremiah Liu · Brent Coull
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #63
Invariance and Stability of Deep Convolutional Representations
In Posters Mon
Alberto Bietti · Julien Mairal
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #64
Testing and Learning on Distributions with Symmetric Noise Invariance
In Posters Mon
Ho Chung Law · Christopher Yau · Dino Sejdinovic
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #65
An Empirical Study on The Properties of Random Bases for Kernel Methods
In Posters Mon
Maximilian Alber · Pieter-Jan Kindermans · Kristof Schütt · Klaus-Robert Müller · Fei Sha
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #66
Max-Margin Invariant Features from Transformed Unlabelled Data
In Posters Mon
Dipan Pal · Ashwin Kannan · Gautam Arakalgud · Marios Savvides
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #67
SafetyNets: Verifiable Execution of Deep Neural Networks on an Untrusted Cloud
In Posters Mon
Zahra Ghodsi · Tianyu Gu · Siddharth Garg
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #69
The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process
In Posters Mon
Hongyuan Mei · Jason Eisner
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #70
The Importance of Communities for Learning to Influence
In Posters Mon
Eric Balkanski · Nicole Immorlica · Yaron Singer
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #71
Inductive Representation Learning on Large Graphs
In Posters Mon
Will Hamilton · Zhitao Ying · Jure Leskovec
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #72
A Meta-Learning Perspective on Cold-Start Recommendations for Items
In Posters Mon
Manasi Vartak · Arvind Thiagarajan · Conrado Miranda · Jeshua Bratman · Hugo Larochelle
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #73
DropoutNet: Addressing Cold Start in Recommender Systems
In Posters Mon
Maksims Volkovs · Guangwei Yu · Tomi Poutanen
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #74
Federated Multi-Task Learning
In Posters Mon
Virginia Smith · Chao-Kai Chiang · Maziar Sanjabi · Ameet S Talwalkar
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #75
Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks
In Posters Mon
Urs Köster · Tristan Webb · Xin Wang · Marcel Nassar · Arjun K Bansal · William Constable · Oguz Elibol · Stewart Hall · Luke Hornof · Amir Khosrowshahi · Carey Kloss · Ruby J Pai · Naveen Rao
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #76
Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes
In Posters Mon
Ahmed M. Alaa · Mihaela van der Schaar
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #77
Tomography of the London Underground: a Scalable Model for Origin-Destination Data
In Posters Mon
Nicolò Colombo · Ricardo Silva · Soong Moon Kang
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #78
Matching on Balanced Nonlinear Representations for Treatment Effects Estimation
In Posters Mon
Sheng Li · Yun Fu
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #79
SchNet: A continuous-filter convolutional neural network for modeling quantum interactions
In Posters Mon
Kristof Schütt · Pieter-Jan Kindermans · Huziel Enoc Sauceda Felix · Stefan Chmiela · Alexandre Tkatchenko · Klaus-Robert Müller
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #80
Hiding Images in Plain Sight: Deep Steganography
In Posters Mon
Shumeet Baluja
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #81
Universal Style Transfer via Feature Transforms
In Posters Mon
Yijun Li · Chen Fang · Jimei Yang · Zhaowen Wang · Xin Lu · Ming-Hsuan Yang
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #82
Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin
In Posters Mon
Ritambhara Singh · Jack Lanchantin · Arshdeep Sekhon · Yanjun Qi
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #83
Unbounded cache model for online language modeling with open vocabulary
In Posters Mon
Edouard Grave · Moustapha Cisse · Armand Joulin
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #84
Deconvolutional Paragraph Representation Learning
In Posters Mon
Yizhe Zhang · Dinghan Shen · Guoyin Wang · Zhe Gan · Ricardo Henao · Lawrence Carin
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #85
Analyzing Hidden Representations in End-to-End Automatic Speech Recognition Systems
In Posters Mon
Yonatan Belinkov · Jim Glass
[ Code]  [ Paper]  [ Poster] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #86
Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model
In Posters Mon
Jiasen Lu · Anitha Kannan · Jianwei Yang · Devi Parikh · Dhruv Batra
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #87
Teaching Machines to Describe Images with Natural Language Feedback
In Posters Mon
Huan Ling · Sanja Fidler
[ Paper]  [ Poster] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #88
High-Order Attention Models for Visual Question Answering
In Posters Mon
Idan Schwartz · Alex Schwing · Tamir Hazan
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #89
Visual Reference Resolution using Attention Memory for Visual Dialog
In Posters Mon
Paul Hongsuck Seo · Andreas Lehrmann · Bohyung Han · Leonid Sigal
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #90
Semi-Supervised Learning for Optical Flow with Generative Adversarial Networks
In Posters Mon
Wei-Sheng Lai · Jia-Bin Huang · Ming-Hsuan Yang
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #91
Associative Embedding: End-to-End Learning for Joint Detection and Grouping
In Posters Mon
Alejandro Newell · Zhiao Huang · Jia Deng
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #92
Learning Deep Structured Multi-Scale Features using Attention-Gated CRFs for Contour Prediction
In Posters Mon
Dan Xu · Wanli Ouyang · Xavier Alameda-Pineda · Elisa Ricci · Xiaogang Wang · Nicu Sebe
[ Paper]  [ Poster] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #93
Incorporating Side Information by Adaptive Convolution
In Posters Mon
Di Kang · Debarun Dhar · Antoni Chan
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #94
Learning a Multi-View Stereo Machine
In Posters Mon
Abhishek Kar · Christian Häne · Jitendra Malik
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #95
Pose Guided Person Image Generation
In Posters Mon
Liqian Ma · Xu Jia · Qianru Sun · Bernt Schiele · Tinne Tuytelaars · Luc Van Gool
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #96
Working hard to know your neighbor's margins: Local descriptor learning loss
In Posters Mon
Anastasiia Mishchuk · Dmytro Mishkin · Filip Radenovic · Jiri Matas
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #97
Toward Multimodal Image-to-Image Translation
In Posters Mon
Jun-Yan Zhu · Richard Zhang · Deepak Pathak · Trevor Darrell · Alexei Efros · Oliver Wang · Eli Shechtman
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #98
Deep Supervised Discrete Hashing
In Posters Mon
Qi Li · Zhenan Sun · Ran He · Tieniu Tan
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #99
SVD-Softmax: Fast Softmax Approximation on Large Vocabulary Neural Networks
In Posters Mon
Kyuhong Shim · Minjae Lee · Iksoo Choi · Yoonho Boo · Wonyong Sung
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #100
Hash Embeddings for Efficient Word Representations
In Posters Mon
Dan Tito Svenstrup · Jonas Hansen · Ole Winther
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #101
A Regularized Framework for Sparse and Structured Neural Attention
In Posters Mon
Vlad Niculae · Mathieu Blondel
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #102
Attentional Pooling for Action Recognition
In Posters Mon
Rohit Girdhar · Deva Ramanan
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #103
Plan, Attend, Generate: Planning for Sequence-to-Sequence Models
In Posters Mon
Caglar Gulcehre · Francis Dutil · Adam Trischler · Yoshua Bengio
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #104
Dilated Recurrent Neural Networks
In Posters Mon
Shiyu Chang · Yang Zhang · Wei Han · Mo Yu · Xiaoxiao Guo · Wei Tan · Xiaodong Cui · Michael Witbrock · Mark Hasegawa-Johnson · Thomas Huang
[ Code]  [ Paper]  [ Poster] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #105
Learning Hierarchical Information Flow with Recurrent Neural Modules
In Posters Mon
Danijar Hafner · Alexander Irpan · James Davidson · Nicolas Heess
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #106
Wasserstein Learning of Deep Generative Point Process Models
In Posters Mon
Shuai Xiao · Mehrdad Farajtabar · Xiaojing Ye · Junchi Yan · Xiaokang Yang · Le Song · Hongyuan Zha
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #107
Stabilizing Training of Generative Adversarial Networks through Regularization
In Posters Mon
Kevin Roth · Aurelien Lucchi · Sebastian Nowozin · Thomas Hofmann
[ Code]  [ Paper]  [ Poster] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #108
Neural Variational Inference and Learning in Undirected Graphical Models
In Posters Mon
Volodymyr Kuleshov · Stefano Ermon
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #109
Adversarial Symmetric Variational Autoencoder
In Posters Mon
Yuchen Pu · Weiyao Wang · Ricardo Henao · Liqun Chen · Zhe Gan · Chunyuan Li · Lawrence Carin
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #110
Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space
In Posters Mon
Liwei Wang · Alex Schwing · Svetlana Lazebnik
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #111
Z-Forcing: Training Stochastic Recurrent Networks
In Posters Mon
Anirudh Goyal · Alessandro Sordoni · Marc-Alexandre Côté · Nan Rosemary Ke · Yoshua Bengio
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #112
One-Shot Imitation Learning
In Posters Mon
Yan Duan · Marcin Andrychowicz · Bradly Stadie · OpenAI Jonathan Ho · Jonas Schneider · Ilya Sutskever · Pieter Abbeel · Wojciech Zaremba
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #113
Reconstruct & Crush Network
In Posters Mon
Erinc Merdivan · Mohammad Reza Loghmani · Matthieu Geist
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #114
Fader Networks:Manipulating Images by Sliding Attributes
In Posters Mon
Guillaume Lample · Neil Zeghidour · Nicolas Usunier · Antoine Bordes · Ludovic DENOYER · Marc'Aurelio Ranzato
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #115
PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs
In Posters Mon
Yunbo Wang · Mingsheng Long · Jianmin Wang · Zhifeng Gao · Philip S Yu
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #116
VAIN: Attentional Multi-agent Predictive Modeling
In Posters Mon
Yedid Hoshen
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #117
Real Time Image Saliency for Black Box Classifiers
In Posters Mon
Piotr Dabkowski · Yarin Gal
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #118
Prototypical Networks for Few-shot Learning
In Posters Mon
Jake Snell · Kevin Swersky · Richard Zemel
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #119
Few-Shot Learning Through an Information Retrieval Lens
In Posters Mon
Eleni Triantafillou · Richard Zemel · Raquel Urtasun
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #120
The Reversible Residual Network: Backpropagation Without Storing Activations
In Posters Mon
Aidan Gomez · Mengye Ren · Raquel Urtasun · Roger Grosse
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #121
Gated Recurrent Convolution Neural Network for OCR
In Posters Mon
Jianfeng Wang · Xiaolin Hu
[ Paper]  [ Poster] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #122
Learning Efficient Object Detection Models with Knowledge Distillation
In Posters Mon
Guobin Chen · Wongun Choi · Xiang Yu · Tony Han · Manmohan Chandraker
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #124
Decoupling "when to update" from "how to update"
In Posters Mon
Eran Malach · Shai Shalev-Shwartz
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #125
Langevin Dynamics with Continuous Tempering for Training Deep Neural Networks
In Posters Mon
Nanyang Ye · Zhanxing Zhu · Rafal Mantiuk
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #126
Differentiable Learning of Logical Rules for Knowledge Base Reasoning
In Posters Mon
Fan Yang · Zhilin Yang · William Cohen
[ Code]  [ Paper]  [ Poster] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #127
Deliberation Networks: Sequence Generation Beyond One-Pass Decoding
In Posters Mon
Yingce Xia · Fei Tian · Lijun Wu · Jianxin Lin · Tao Qin · Nenghai Yu · Tie-Yan Liu
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #128
Neural Program Meta-Induction
In Posters Mon
Jacob Devlin · Rudy Bunel · Rishabh Singh · Matthew Hausknecht · Pushmeet Kohli
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #129
Saliency-based Sequential Image Attention with Multiset Prediction
In Posters Mon
Sean Welleck · Jialin Mao · Kyunghyun Cho · Zheng Zhang
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #130
Protein Interface Prediction using Graph Convolutional Networks
In Posters Mon
Alex Fout · Jonathon Byrd · Basir Shariat · Asa Ben-Hur
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #131
Dual-Agent GANs for Photorealistic and Identity Preserving Profile Face Synthesis
In Posters Mon
Jian Zhao · Lin Xiong · Panasonic Karlekar Jayashree · Jianshu Li · Fang Zhao · Zhecan Wang · Panasonic Sugiri Pranata · Panasonic Shengmei Shen · Shuicheng Yan · Jiashi Feng
[ Paper]  [ Poster] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #132
Toward Robustness against Label Noise in Training Deep Discriminative Neural Networks
In Posters Mon
Arash Vahdat
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #133
Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations
In Posters Mon
Eirikur Agustsson · Fabian Mentzer · Michael Tschannen · Lukas Cavigelli · Radu Timofte · Luca Benini · Luc V Gool
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #134
Selective Classification for Deep Neural Networks
In Posters Mon
Yonatan Geifman · Ran El-Yaniv
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #135
Deep Lattice Networks and Partial Monotonic Functions
In Posters Mon
Seungil You · David Ding · Kevin Canini · Jan Pfeifer · Maya Gupta
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #136
Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon
In Posters Mon
Xin Dong · Shangyu Chen · Sinno Pan
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #137
Bayesian Compression for Deep Learning
In Posters Mon
Christos Louizos · Karen Ullrich · Max Welling
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #138
Lower bounds on the robustness to adversarial perturbations
In Posters Mon
Jonathan Peck · Joris Roels · Bart Goossens · Yvan Saeys
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #139
Sobolev Training for Neural Networks
In Posters Mon
Wojciech Czarnecki · Simon Osindero · Max Jaderberg · Grzegorz Swirszcz · Razvan Pascanu
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #140
Structured Bayesian Pruning via Log-Normal Multiplicative Noise
In Posters Mon
Kirill Neklyudov · Dmitry Molchanov · Arsenii Ashukha · Dmitry Vetrov
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #141
Population Matching Discrepancy and Applications in Deep Learning
In Posters Mon
Jianfei Chen · Chongxuan LI · Yizhong Ru · Jun Zhu
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #142
Resurrecting the sigmoid in deep learning through dynamical isometry: theory and practice
In Posters Mon
Jeffrey Pennington · Samuel Schoenholz · Surya Ganguli
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #143
Robust Imitation of Diverse Behaviors
In Posters Mon
Ziyu Wang · Josh Merel · Scott Reed · Nando de Freitas · Gregory Wayne · Nicolas Heess
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #144
Question Asking as Program Generation
In Posters Mon
Anselm Rothe · Brenden Lake · Todd Gureckis
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #145
Variational Laws of Visual Attention for Dynamic Scenes
In Posters Mon
Dario Zanca · Marco Gori
[ Paper]  [ Poster] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #146
Flexible statistical inference for mechanistic models of neural dynamics
In Posters Mon
Jan-Matthis Lueckmann · Pedro Goncalves · Giacomo Bassetto · Kaan Öcal · Marcel Nonnenmacher · Jakob H Macke
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #147
Training recurrent networks to generate hypotheses about how the brain solves hard navigation problems
In Posters Mon
Ingmar Kanitscheider · Ila Fiete
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #148
YASS: Yet Another Spike Sorter
In Posters Mon
Jin Hyung Lee · David Carlson · Hooshmand Shokri Razaghi · Weichi Yao · Georges A Goetz · Espen Hagen · Eleanor Batty · E.J. Chichilnisky · Gaute T. Einevoll · Liam Paninski
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #149
Neural system identification for large populations separating “what” and “where”
In Posters Mon
David Klindt · Alexander Ecker · Thomas Euler · Matthias Bethge
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #150
A simple model of recognition and recall memory
In Posters Mon
Nisheeth Srivastava · Edward Vul
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #151
Gaussian process based nonlinear latent structure discovery in multivariate spike train data
In Posters Mon
Anqi Wu · Nicholas Roy · Stephen Keeley · Jonathan Pillow
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #152
Reconstructing perceived faces from brain activations with deep adversarial neural decoding
In Posters Mon
Yağmur Güçlütürk · Umut Güçlü · Katja Seeliger · Sander Bosch · Rob van Lier · Marcel A. J. van Gerven
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #153
Cross-Spectral Factor Analysis
In Posters Mon
Neil Gallagher · Kyle Ulrich · Austin Talbot · Kafui Dzirasa · Lawrence Carin · David Carlson
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #154
Regularized Modal Regression with Applications in Cognitive Impairment Prediction
In Posters Mon
Xiaoqian Wang · Hong Chen · Weidong Cai · Dinggang Shen · Heng Huang
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #155
Stochastic Submodular Maximization: The Case of Coverage Functions
In Posters Mon
Mohammad Karimi · Mario Lucic · Hamed Hassani · Andreas Krause
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #156
Gradient Methods for Submodular Maximization
In Posters Mon
Hamed Hassani · Mahdi Soltanolkotabi · Amin Karbasi
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #157
Non-convex Finite-Sum Optimization Via SCSG Methods
In Posters Mon
Lihua Lei · Cheng Ju · Jianbo Chen · Michael Jordan
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #158
Influence Maximization with $\varepsilon$-Almost Submodular Threshold Functions
In Posters Mon
Qiang Li · Wei Chen · Institute of Computing Xiaoming Sun · Institute of Computing Jialin Zhang
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #159
Subset Selection under Noise
In Posters Mon
Chao Qian · Jing-Cheng Shi · Yang Yu · Ke Tang · Zhi-Hua Zhou
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #160
Polynomial time algorithms for dual volume sampling
In Posters Mon
Chengtao Li · Stefanie Jegelka · Suvrit Sra
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #161
Lookahead Bayesian Optimization with Inequality Constraints
In Posters Mon
Remi Lam · Karen Willcox
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #162
Non-monotone Continuous DR-submodular Maximization: Structure and Algorithms
In Posters Mon
Yatao Bian · Kfir Levy · Andreas Krause · Joachim M Buhmann
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #163
Solving Most Systems of Random Quadratic Equations
In Posters Mon
Gang Wang · Georgios Giannakis · Yousef Saad · Jie Chen
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #164
Learning ReLUs via Gradient Descent
In Posters Mon
Mahdi Soltanolkotabi
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #165
Stochastic Mirror Descent in Variationally Coherent Optimization Problems
In Posters Mon
Zhengyuan Zhou · Panayotis Mertikopoulos · Nicholas Bambos · Stephen Boyd · Peter W Glynn
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #166
Accelerated First-order Methods for Geodesically Convex Optimization on Riemannian Manifolds
In Posters Mon
Yuanyuan Liu · Fanhua Shang · James Cheng · Hong Cheng · Licheng Jiao
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #167
On the Fine-Grained Complexity of Empirical Risk Minimization: Kernel Methods and Neural Networks
In Posters Mon
Arturs Backurs · Piotr Indyk · Ludwig Schmidt
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #168
Large-Scale Quadratically Constrained Quadratic Program via Low-Discrepancy Sequences
In Posters Mon
Kinjal Basu · Ankan Saha · Shaunak Chatterjee
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #169
A New Alternating Direction Method for Linear Programming
In Posters Mon
Sinong Wang · Ness Shroff
[ Paper]  [ Poster] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #170
Dykstra's Algorithm, ADMM, and Coordinate Descent: Connections, Insights, and Extensions
In Posters Mon
Ryan Tibshirani
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #171
Smooth Primal-Dual Coordinate Descent Algorithms for Nonsmooth Convex Optimization
In Posters Mon
Ahmet Alacaoglu · Quoc Tran Dinh · Olivier Fercoq · Volkan Cevher
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #172
First-Order Adaptive Sample Size Methods to Reduce Complexity of Empirical Risk Minimization
In Posters Mon
Aryan Mokhtari · Alejandro Ribeiro
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #173
Accelerated consensus via Min-Sum Splitting
In Posters Mon
Patrick Rebeschini · Sekhar C Tatikonda
[ Paper]  [ Poster] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #174
Integration Methods and Optimization Algorithms
In Posters Mon
Damien Scieur · Vincent Roulet · Francis Bach · Alexandre d'Aspremont
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #175
Efficient Use of Limited-Memory Accelerators for Linear Learning on Heterogeneous Systems
In Posters Mon
Celestine Dünner · Thomas Parnell · Martin Jaggi
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #176
A Screening Rule for l1-Regularized Ising Model Estimation
In Posters Mon
Zhaobin Kuang · Sinong Geng · David Page
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #177
Uprooting and Rerooting Higher-Order Graphical Models
In Posters Mon
Mark Rowland · Adrian Weller
[ Paper]  [ Poster] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #178
Concentration of Multilinear Functions of the Ising Model with Applications to Network Data
In Posters Mon
Constantinos Daskalakis · Nishanth Dikkala · Gautam Kamath
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #179
Inference in Graphical Models via Semidefinite Programming Hierarchies
In Posters Mon
Murat Erdogdu · Yash Deshpande · Andrea Montanari
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #180
Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting
In Posters Mon
Rebecca Morrison · Ricardo Baptista · Youssef Marzouk
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #181
Dynamic Importance Sampling for Anytime Bounds of the Partition Function
In Posters Mon
Qi Lou · Rina Dechter · Alexander Ihler
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #182
Nonbacktracking Bounds on the Influence in Independent Cascade Models
In Posters Mon
Emmanuel Abbe · Sanjeev Kulkarni · Eun Jee Lee
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #183
Rigorous Dynamics and Consistent Estimation in Arbitrarily Conditioned Linear Systems
In Posters Mon
Alyson Fletcher · Mojtaba Sahraee-Ardakan · Sundeep Rangan · Philip Schniter
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #184
Learning Disentangled Representations with Semi-Supervised Deep Generative Models
In Posters Mon
Siddharth Narayanaswamy · Brooks Paige · Jan-Willem van de Meent · Alban Desmaison · Noah Goodman · Pushmeet Kohli · Frank Wood · Philip Torr
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #185
Gauging Variational Inference
In Posters Mon
Sungsoo Ahn · Michael Chertkov · Jinwoo Shin
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #186
Variational Inference via $\chi$ Upper Bound Minimization
In Posters Mon
Adji Bousso Dieng · Dustin Tran · Rajesh Ranganath · John Paisley · David Blei
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #187
Collapsed variational Bayes for Markov jump processes
In Posters Mon
Boqian Zhang · Jiangwei Pan · Vinayak Rao
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #188
Bayesian Dyadic Trees and Histograms for Regression
In Posters Mon
Stéphanie van der Pas · Veronika Rockova
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #189
Differentially private Bayesian learning on distributed data
In Posters Mon
Mikko Heikkilä · Eemil Lagerspetz · Samuel Kaski · Kana Shimizu · Sasu Tarkoma · Antti Honkela
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #190
Model-Powered Conditional Independence Test
In Posters Mon
Rajat Sen · Ananda Theertha Suresh · Karthikeyan Shanmugam · Alex Dimakis · Sanjay Shakkottai
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #191
When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness
In Posters Mon
Chris Russell · Matt Kusner · Joshua Loftus · Ricardo Silva
[ Paper]  [ Poster] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #192
Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes
In Posters Mon
Jianshu Chen · Chong Wang · Lin Xiao · Ji He · Lihong Li · Li Deng
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #193
Probabilistic Models for Integration Error in the Assessment of Functional Cardiac Models
In Posters Mon
Chris Oates · Steven Niederer · Angela Lee · François-Xavier Briol · Mark Girolami
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #194
Expectation Propagation for t-Exponential Family Using q-Algebra
In Posters Mon
Futoshi Futami · Issei Sato · Masashi Sugiyama
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #195
A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks
In Posters Mon
Qinliang Su · xuejun Liao · Lawrence Carin
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #196
Clone MCMC: Parallel High-Dimensional Gaussian Gibbs Sampling
In Posters Mon
Andrei-Cristian Barbos · Francois Caron · Jean-François Giovannelli · Arnaud Doucet
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #197
Learning spatiotemporal piecewise-geodesic trajectories from longitudinal manifold-valued data
In Posters Mon
Stéphanie ALLASSONNIERE · Juliette Chevallier · Stephane Oudard
[ Paper]  [ Poster] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #198
Scalable Levy Process Priors for Spectral Kernel Learning
In Posters Mon
Phillip Jang · Andrew Loeb · Matthew Davidow · Andrew Wilson
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #199
InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations
In Posters Mon
Yunzhu Li · Jiaming Song · Stefano Ermon
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #200
Hybrid Reward Architecture for Reinforcement Learning
In Posters Mon
Harm Van Seijen · Mehdi Fatemi · Romain Laroche · Joshua Romoff · Tavian Barnes · Jeffrey Tsang
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #201
Shallow Updates for Deep Reinforcement Learning
In Posters Mon
Nir Levine · Tom Zahavy · Daniel J Mankowitz · Aviv Tamar · Shie Mannor
[ Code]  [ Paper]  [ Poster] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #202
Towards Generalization and Simplicity in Continuous Control
In Posters Mon
Aravind Rajeswaran · Kendall Lowrey · Emanuel Todorov · Sham Kakade
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #203
Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning
In Posters Mon
Shixiang (Shane) Gu · Timothy Lillicrap · Richard Turner · Zoubin Ghahramani · Bernhard Schölkopf · Sergey Levine
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #204
Scalable Planning with Tensorflow for Hybrid Nonlinear Domains
In Posters Mon
Ga Wu · Buser Say · Scott Sanner
[ Code]  [ Paper]  [ Poster] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #205
Task-based End-to-end Model Learning in Stochastic Optimization
In Posters Mon
Priya Donti · J. Zico Kolter · Brandon Amos
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #206
Value Prediction Network
In Posters Mon
Junhyuk Oh · Satinder Singh · Honglak Lee
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #207
Variable Importance Using Decision Trees
In Posters Mon
Jalil Kazemitabar · Arash Amini · Adam Bloniarz · Ameet S Talwalkar
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #208
The Expressive Power of Neural Networks: A View from the Width
In Posters Mon
Zhou Lu · Hongming Pu · Feicheng Wang · Zhiqiang Hu · Liwei Wang
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #209
SGD Learns the Conjugate Kernel Class of the Network
In Posters Mon
Amit Daniely
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #210
Effective Parallelisation for Machine Learning
In Posters Mon
Michael Kamp · Mario Boley · Olana Missura · Thomas Gärtner
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #211
Noise-Tolerant Interactive Learning Using Pairwise Comparisons
In Posters Mon
Yichong Xu · Hongyang Zhang · Aarti Singh · Artur Dubrawski · Kyle Miller
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #212
A PAC-Bayesian Analysis of Randomized Learning with Application to Stochastic Gradient Descent
In Posters Mon
Ben London
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #213
Revisiting Perceptron: Efficient and Label-Optimal Learning of Halfspaces
In Posters Mon
Songbai Yan · Chicheng Zhang
[ Paper]  [ Poster] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #214
Sample and Computationally Efficient Learning Algorithms under S-Concave Distributions
In Posters Mon
Maria-Florina Balcan · Hongyang Zhang
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #215
Nearest-Neighbor Sample Compression: Efficiency, Consistency, Infinite Dimensions
In Posters Mon
Aryeh Kontorovich · Sivan Sabato · Roi Weiss
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #216
Learning Identifiable Gaussian Bayesian Networks in Polynomial Time and Sample Complexity
In Posters Mon
Asish Ghoshal · Jean Honorio
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #217
From which world is your graph
In Posters Mon
Cheng Li · Felix MF Wong · Zhenming Liu · Varun Kanade
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #218
Mean Field Residual Networks: On the Edge of Chaos
In Posters Mon
Ge Yang · Samuel Schoenholz
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #219
Learning from uncertain curves: The 2-Wasserstein metric for Gaussian processes
In Posters Mon
Anton Mallasto · Aasa Feragen
[ Paper]  [ Poster] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #220
On clustering network-valued data
In Posters Mon
Soumendu Sundar Mukherjee · Purnamrita Sarkar · Lizhen Lin
[ Code]  [ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #221
On the Power of Truncated SVD for General High-rank Matrix Estimation Problems
In Posters Mon
Simon Du · Yining Wang · Aarti Singh
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #222
AdaGAN: Boosting Generative Models
In Posters Mon
Ilya Tolstikhin · Sylvain Gelly · Olivier Bousquet · Carl-Johann SIMON-GABRIEL · Bernhard Schölkopf
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #223
Discovering Potential Correlations via Hypercontractivity
In Posters Mon
Hyeji Kim · Weihao Gao · Sreeram Kannan · Sewoong Oh · Pramod Viswanath
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #224
Phase Transitions in the Pooled Data Problem
In Posters Mon
Jonathan Scarlett · Volkan Cevher
[ Paper]  [ Poster] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #225
Coded Distributed Computing for Inverse Problems
In Posters Mon
Yaoqing Yang · Pulkit Grover · Soummya Kar
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #226
Query Complexity of Clustering with Side Information
In Posters Mon
Arya Mazumdar · Barna Saha
[ Paper] 
Poster
Mon Dec 04 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #227
Revisit Fuzzy Neural Network: Demystifying Batch Normalization and ReLU with Generalized Hamming Network
In Posters Mon
Lixin Fan
[ Paper]