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226 Program Highlights »
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Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #1
Posterior sampling for reinforcement learning: worst-case regret bounds
Shipra Agrawal · Randy Jia
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #2
A framework for Multi-A(rmed)/B(andit) Testing with Online FDR Control
Fanny Yang · Aaditya Ramdas · Kevin Jamieson · Martin Wainwright
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #3
Monte-Carlo Tree Search by Best Arm Identification
Emilie Kaufmann · Wouter Koolen
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #4
Minimal Exploration in Structured Stochastic Bandits
Stefan Magureanu · Richard Combes · Alexandre Proutiere
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #5
Regret Analysis for Continuous Dueling Bandit
Wataru Kumagai
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #6
Elementary Symmetric Polynomials for Optimal Experimental Design
Zelda E. Mariet · Suvrit Sra
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #7
Online Learning of Linear Dynamical Systems
Elad Hazan · Karan Singh · Cyril Zhang
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #8
Efficient and Flexible Inference for Stochastic Systems
Stefan Bauer · Djordje Miladinovic · Nico S Gorbach · Joachim M Buhmann
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #9
Group Sparse Additive Machine
Hong Chen · Xiaoqian Wang · Heng Huang
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #10
Bregman Divergence for Stochastic Variance Reduction: Saddle-Point and Adversarial Prediction
Zhan Shi · Xinhua Zhang · Yaoliang Yu
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #11
Online multiclass boosting
Young Hun Jung · Jack Goetz · Ambuj Tewari
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #12
Universal consistency and minimax rates for online Mondrian Forest
Jaouad Mourtada · Stéphane Gaïffas · Erwan Scornet
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #13
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen · Harri Valpola
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #14
Learning from Complementary Labels
Takashi Ishida · Gang Niu · Weihua Hu · Masashi Sugiyama
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #15
Positive-Unlabeled Learning with Non-Negative Risk Estimator
Ryuichi Kiryo · Gang Niu · Marthinus C du Plessis · Masashi Sugiyama
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #16
Semisupervised Clustering, AND-Queries and Locally Encodable Source Coding
Arya Mazumdar · Soumyabrata Pal
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #17
On Learning Errors of Structured Prediction with Approximate Inference
Yuanbin Wu
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #18
On Optimal Generalizability in Parametric Learning
Ahmad Beirami · Meisam Razaviyayn · Shahin Shahrampour · Vahid Tarokh
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #19
Multi-Objective Non-parametric Sequential Prediction
Guy Uziel · Ran El-Yaniv
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #20
Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data
Joel A Tropp · Alp Yurtsever · Madeleine Udell · Volkan Cevher
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #21
Communication-Efficient Stochastic Gradient Descent, with Applications to Neural Networks
Dan Alistarh · Demjan Grubic · Jerry Li · Ryota Tomioka · Milan Vojnovic
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #22
Machine Learning with Adversaries: Byzantine Tolerant Gradient Descent
Peva Blanchard · El Mahdi El Mhamdi · Rachid Guerraoui · Julien Stainer
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #23
Ranking Data with Continuous Labels through Oriented Recursive Partitions
Stéphan Clémençon · Mastane Achab
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #24
Practical Data-Dependent Metric Compression with Provable Guarantees
Piotr Indyk · Ilya Razenshteyn · Tal Wagner
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #25
Simple strategies for recovering inner products from coarsely quantized random projections
Ping Li · Martin Slawski
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #26
Clustering Stable Instances of Euclidean k-means.
Aravindan Vijayaraghavan · Abhratanu Dutta · Alex Wang
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #27
On Distributed Hierarchical Clustering
Mahsa Derakhshan · Soheil Behnezhad · Mohammadhossein Bateni · Vahab Mirrokni · MohammadTaghi Hajiaghayi · Silvio Lattanzi · Raimondas Kiveris
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #28
Sparse k-Means Embedding
Weiwei Liu · Xiaobo Shen · Ivor Tsang
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #29
K-Medoids For K-Means Seeding
James Newling · François Fleuret
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #30
An Applied Algorithmic Foundation for Hierarchical Clustering
Joshua Wang · Benjamin Moseley
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #31
Inhomogoenous Hypergraph Clustering with Applications
Pan Li · Olgica Milenkovic
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #32
Subspace Clustering via Tangent Cones
Amin Jalali · Rebecca Willett
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #33
Tensor Biclustering
Soheil Feizi · Hamid Javadi · David Tse
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #34
A unified approach to interpreting model predictions
Scott M Lundberg · Su-In Lee
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #35
Efficient Sublinear-Regret Algorithms for Online Sparse Linear Regression
Shinji Ito · Akihiro Yabe · Ken-Ichi Kawarabayashi · Naonori Kakimura · Takuro Fukunaga · Daisuke Hatano · Hanna Sumita
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #36
Unbiased estimates for linear regression via volume sampling
Michal Derezinski · Manfred Warmuth
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #37
On Separability of Loss Functions, and Revisiting Discriminative Vs Generative Models
Adarsh Prasad · Pradeep Ravikumar
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #38
Generalized Linear Model Regression under Distance-to-set Penalties
Jason Xu · Eric Chi · Kenneth Lange
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #39
Group Additive Structure Identification for Kernel Nonparametric Regression
Chao Pan · Michael Zhu
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #40
Learning Overcomplete HMMs
Vatsal Sharan · Sham Kakade · Percy Liang · Gregory Valiant
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #41
Matrix Norm Estimation from a Few Entries
Sewoong Oh · Ashish Khetan
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #42
Optimal Shrinkage of Singular Values Under Random Data Contamination
Danny Barash · Matan Gavish
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #43
A New Theory for Nonconvex Matrix Completion
Guangcan Liu · Xiaotong Yuan · Qingshan Liu
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #44
Learning Low-Dimensional Metrics
Blake Mason · Lalit Jain · Robert Nowak
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #45
Fast Alternating Minimization Algorithms for Dictionary Learning
Niladri Chatterji · Peter Bartlett
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #46
Consistent Robust Regression
Kush Bhatia · Prateek Jain · Purushottam Kar
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #47
Partial Hard Thresholding: A Towards Unified Analysis of Support Recovery
Jie Shen · Ping Li
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #48
Minimax Estimation of Bandable Precision Matrices
Addison Hu · Sahand Negahban
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #49
Diffusion Approximations for Online Principal Component Estimation and Global Convergence
Chris Junchi Li · Mengdi Wang · Tong Zhang
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #50
Estimation of the covariance structure of heavy-tailed distributions
Xiaohan Wei · Stanislav Minsker
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #51
Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition
Naoya Takeishi · Yoshinobu Kawahara · Takehisa Yairi
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #52
Stochastic Approximation for Canonical Correlation Analysis
Raman Arora · Teodor Vanislavov Marinov · Poorya Mianjy
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #53
Diving into the shallows: a computational perspective on large-scale shallow learning
SIYUAN MA · Mikhail Belkin
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #54
The Unreasonable Effectiveness of Structured Random Orthogonal Embeddings
Krzysztof M Choromanski · Mark Rowland · Adrian Weller
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #55
Generalization Properties of Learning with Random Features
Alessandro Rudi · Lorenzo Rosasco
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #56
Gaussian Quadrature for Kernel Features
Tri Dao · Christopher M De Sa · Christopher Ré
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #57
A Linear-Time Kernel Goodness-of-Fit Test
Wittawat Jitkrittum · Wenkai Xu · Zoltan Szabo · Kenji Fukumizu · Arthur Gretton
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #58
Convergence rates of a partition based Bayesian multivariate density estimation method
Linxi Liu · Dangna Li · Wing Hung Wong
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #59
The power of absolute discounting: all-dimensional distribution estimation
Moein Falahatgar · Mesrob Ohannessian · Alon Orlitsky · Venkatadheeraj Pichapati
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #60
Optimally Learning Populations of Parameters
Kevin Tian · Weihao Kong · Gregory Valiant
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #61
Communication-Efficient Distributed Learning of Discrete Distributions
Ilias Diakonikolas · Elena Grigorescu · Jerry Li · Abhiram Natarajan · Krzysztof Onak · Ludwig Schmidt
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #62
Improved Dynamic Regret for Non-degeneracy Functions
Lijun Zhang · Tianbao Yang · Jinfeng Yi · Rong Jin · Zhi-Hua Zhou
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #63
Parameter-Free Online Learning via Model Selection
Dylan J Foster · Satyen Kale · Mehryar Mohri · Karthik Sridharan
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #64
Fast Rates for Bandit Optimization with Upper-Confidence Frank-Wolfe
Quentin Berthet · Vianney Perchet
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #65
Online Learning with Transductive Regret
Scott Yang · Mehryar Mohri
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #66
Multi-Armed Bandits with Metric Movement Costs
Tomer Koren · Roi Livni · Yishay Mansour
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #67
Differentially Private Empirical Risk Minimization Revisited: Faster and More General
Di Wang · Minwei Ye · Jinhui Xu
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #68
Certified Defenses for Data Poisoning Attacks
Jacob Steinhardt · Pang Wei W Koh · Percy Liang
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #69
Sparse Approximate Conic Hulls
Greg Van Buskirk · Ben Raichel · Nicholas Ruozzi
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #70
On Tensor Train Rank Minimization : Statistical Efficiency and Scalable Algorithm
Masaaki Imaizumi · Takanori Maehara · Kohei Hayashi
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #71
Sparse convolutional coding for neuronal assembly detection
Sven Peter · Elke Kirschbaum · Martin Both · Intramural Lee Campbell · Intramural Brandon Harvey · Intramural Conor Heins · Daniel Durstewitz · Ferran Diego · Fred Hamprecht
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #72
Estimating High-dimensional Non-Gaussian Multiple Index Models via Stein’s Lemma
Zhuoran Yang · krishnakumar balasubramanian · Princeton Zhaoran Wang · Han Liu
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #73
Solid Harmonic Wavelet Scattering: Predicting Quantum Molecular Energy from Invariant Descriptors of 3D Electronic Densities
Michael Eickenberg · Georgios Exarchakis · Matthew Hirn · Stephane Mallat
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #74
Clustering Billions of Reads for DNA Data Storage
Cyrus Rashtchian · Konstantin Makarychev · Luis Ceze · Karin Strauss · Sergey Yekhanin · Djordje Jevdjic · Miklos Racz · Siena Ang
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #75
Deep Recurrent Neural Network-Based Identification of Precursor microRNAs
Seunghyun Park · Seonwoo Min · Hyun-Soo Choi · Sungroh Yoon
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #76
Decoding with Value Networks for Neural Machine Translation
Di He · Hanqing Lu · Yingce Xia · Tao Qin · Liwei Wang · Tieyan Liu
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #77
Towards the ImageNet-CNN of NLP: Pretraining Sentence Encoders with Machine Translation
Bryan McCann · James Bradbury · Caiming Xiong · Richard Socher
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #78
Deep Voice 2: Multi-Speaker Neural Text-to-Speech
Andrew Gibiansky
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #79
Modulating early visual processing by language
Harm de Vries · Florian Strub · Jeremie Mary · Hugo Larochelle · Olivier Pietquin · Aaron C Courville
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #80
Multimodal Learning and Reasoning for Visual Question Answering
Ilija Ilievski · Jiashi Feng
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #81
Learning to Model the Tail
Yu-Xiong Wang · Deva Ramanan · Martial Hebert
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #82
Interpretable and Globally Optimal Prediction for Textual Grounding using Image Concepts
Raymond Yeh · Jinjun Xiong · Wen-Mei Hwu · Minh Do · Alexander Schwing
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #83
Multiscale Quantization for Fast Similarity Search
Xiang Wu · Ruiqi Guo · Ananda Theertha Suresh · Daniel Holtmann-Rice · David Simcha · Felix Yu · Sanjiv Kumar
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #84
MaskRNN: Instance Level Video Object Segmentation
Yuan-Ting Hu · Jia-Bin Huang · Alexander Schwing
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #85
Flat2Sphere: Learning Spherical Convolution for Fast Features from 360° Imagery
Yu-Chuan Su · Kristen Grauman
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #86
Deep Mean-Shift Priors for Image Restoration
Siavash Arjomand Bigdeli · Matthias Zwicker · Paolo Favaro · Meiguang Jin
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #87
Pixels to Graphs by Associative Embedding
Alejandro Newell · Jia Deng
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #88
3D Shape Reconstruction by Modeling 2.5D Sketch
Jiajun Wu · Yifan Wang · Tianfan Xue · Xingyuan Sun · Bill Freeman · Josh Tenenbaum
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #89
Temporal Coherency based Criteria for Predicting Video Frames using Deep Multi-stage Generative Adversarial Networks
Prateep Bhattacharjee · Sukhendu Das
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #90
Learning to Generalize Intrinsic Images with a Structured Disentangling Autoencoder
Michael Janner · Jiajun Wu · Tejas Kulkarni · Ilker Yildirim · Josh Tenenbaum
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #91
Unsupervised object learning from dense equivariant image labelling
James Thewlis · Andrea Vedaldi · Hakan Bilen
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #92
One-Sided Unsupervised Domain Mapping
Sagie Benaim · Lior Wolf
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #93
Contrastive Learning for Image Captioning
Bo Dai · Dahua Lin
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #94
Dynamic Routing Between Capsules
Sara Sabour · Nicholas Frosst · Geoffrey E Hinton
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #95
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex Kendall · Yarin Gal
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #96
Efficient Optimization for Linear Dynamical Systems with Applications to Clustering and Sparse Coding
Wenbing Huang · Fuchun Sun · Tong Zhang · Junzhou Huang · Mehrtash Harandi
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #97
Label Distribution Learning Forests
Wei Shen · KAI ZHAO · Yilu Guo · Alan Yuille
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #98
Graph Matching via Multiplicative Update Algorithm
Bo Jiang · Jin Tang · Bin Luo
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #99
Training Quantized Nets: A Deeper Understanding
Hao Li · Soham De · Zheng Xu · Christoph Studer · Hanan Samet · Tom Goldstein
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #100
Inner-loop free ADMM using Auxiliary Deep Neural Networks
Kai Fan · Qi Wei · Katherine A Heller
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #101
Towards Accurate Binary Convolutional Neural Network
Wei Pan · Xiaofan Lin · Cong Zhao
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #102
Runtime Neural Pruning
Ji Lin · Yongming Rao · Jiwen Lu
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #103
Structured Embedding Models for Grouped Data
Maja Rudolph · Francisco Ruiz · David Blei
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #104
Poincaré Embeddings for Learning Hierarchical Representations
Maximillian Nickel · Douwe Kiela
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #105
Language modeling with recurrent highway hypernetworks
Joseph Suarez
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #106
Preventing Gradient Explosions in Gated Recurrent Units
Sekitoshi Kanai · Yasuhiro Fujiwara · Sotetsu Iwamura
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #107
Wider and Deeper, Cheaper and Faster: Tensorized LSTMs for Sequence Learning
Zhen He · Shaobing Gao · Liang Xiao · David Barber
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #108
Fast-Slow Recurrent Neural Networks
Asier Mujika · Florian Meier · Angelika Steger
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #109
Cold-Start Reinforcement Learning with Softmax Policy Gradients
Nan Ding · Radu Soricut
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #110
Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model
Xingjian Shi · Hao Wang · Zhihan Gao · Leonard Lausen · Dit-Yan Yeung · Wang-chun WOO · Wai-kin Wong
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #111
Recurrent Ladder Networks
Isabeau Prémont-Schwarz · Alexander Ilin · Tele Hao · Antti Rasmus · Rinu Boney · Harri Valpola
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #112
Predictive-State Decoders: Encoding the Future into Recurrent Networks
Arun Venkatraman · Nicholas Rhinehart · Wen Sun · Lerrel Pinto · Martial Hebert · Byron Boots · Kris Kitani · J. Bagnell
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #113
QMDP-Net: Deep Learning for Planning under Partial Observability
Peter Karkus · David Hsu · Wee Sun Lee
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #114
Filtering Variational Objectives
Chris Maddison · John Lawson · George Tucker · Mohammad Norouzi · Nicolas Heess · Andriy Mnih · Yee Teh · Arnaud Doucet
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #115
Unsupervised Learning of Disentangled Latent Representations from Sequential Data
Wei-Ning Hsu · Yu Zhang · James Glass
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #116
Neural Discrete Representation Learning
Aaron van den Oord · Oriol Vinyals · koray kavukcuoglu
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #117
Variational Memory Addressing in Generative Models
Jörg Bornschein · Andriy Mnih · Daniel Zoran · Danilo Jimenez Rezende
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #118
Cortical microcircuits as gated-recurrent neural networks
Rui Costa · Ioannis Alexandros Assael · Brendan Shillingford · Nando de Freitas · TIm Vogels
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #119
Continual Learning with Deep Generative Replay
Hanul Shin · Jung Kwon Lee · Jaehong Kim · Jiwon Kim
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #120
Hierarchical Attentive Recurrent Tracking
Adam Kosiorek · Alex Bewley · Ingmar Posner
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #121
VAE Learning via Stein Variational Gradient Descent
Yuchen Pu · Zhe Gan · Ricardo Henao · Chunyuan Li · Shaobo Han · Lawrence Carin
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #122
Learning to Inpaint for Image Compression
Mohammad Haris Baig · Vladlen Koltun · Lorenzo Torresani
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #123
Visual Interaction Networks
Nicholas Watters · Daniel Zoran · Theophane Weber · Peter Battaglia · Razvan Pascanu · Andrea Tacchetti
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #124
NeuralFDR: Learning Discovery Thresholds from Hypothesis Features
Martin J Zhang · Fei Xia · James Zou · David Tse
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #125
Eigen-Distortions of Hierarchical Representations
Alexander Berardino · Valero Laparra · Johannes Ballé · Eero Simoncelli
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #126
On-the-fly Operation Batching in Dynamic Computation Graphs
Graham Neubig · Yoav Goldberg · Chris Dyer
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #127
Learning Affinity via Spatial Propagation Networks
Sifei Liu · Guangyu Zhong · Ming-Hsuan Yang · Shalini De Mello · Jan Kautz · Jinwei Gu
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #128
Supervised Adversarial Domain Adaptation
Saeid Motiian · Quinn Jones · Gianfranco Doretto
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #129
Deep Hyperspherical Learning
Weiyang Liu · Yan-Ming Zhang · Xingguo Li · Zhiding Yu · Bo Dai · Tuo Zhao · Le Song
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #130
Riemannian approach to batch normalization
Minhyung Cho · Jaehyung Lee
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #131
Backprop without Learning Rates Through Coin Betting
Francesco Orabona · Tatiana Tommasi
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #132
On the Convergence of Block Coordinate Descent in Training DNNs with Tikhonov Regularization
Ziming Zhang · Matthew Brand
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #133
Collaborative Deep Learning in Fixed Topology Networks
Zhanhong Jiang · Aditya Balu · Chinmay Hegde · Soumik Sarkar
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #134
How regularization affects the critical points in linear networks
Amirhossein Taghvaei · Jin W Kim · Prashant Mehta
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #135
Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network
Wengong Jin · Connor Coley · Regina Barzilay · Tommi Jaakkola
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #136
Predicting Scene Parsing and Motion Dynamics in the Future
Xiaojie Jin · Jiashi Feng · Huaxin Xiao · Yunpeng Chen · Shuicheng Yan · Xiaohui Shen · Jimei Yang · Zequn Jie · Li Ping
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #137
Houdini: Democratizing Adversarial Examples
Moustapha Cisse · Yossi Adi · Natalia Neverova · Joseph Keshet
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #138
Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks
Federico Monti · Michael Bronstein · Xavier Bresson
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #139
Compression-aware Training of Deep Neural Networks
Jose Alvarez · Mathieu Salzmann
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #140
Non-parametric Neural Networks
Andreas Lehrmann · Leonid Sigal
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #141
GibbsNet: Iterative Adversarial Inference for Deep Graphical Models
Alex Lamb · Devon Hjelm · Yaroslav Ganin · Joseph Paul Cohen · Aaron C Courville · Yoshua Bengio
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #142
Exploring Generalization in Deep Learning
Behnam Neyshabur · Srinadh Bhojanapalli · Nati Srebro
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #143
Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization
Hyeonwoo Noh · Tackgeun You · Jonghwan Mun · Bohyung Han
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #144
Extracting low-dimensional dynamics from multiple large-scale neural population recordings by learning to predict correlations
Marcel Nonnenmacher · Srinivas C Turaga · Jakob H Macke
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #145
Adaptive sampling for a population of neurons
Benjamin Cowley · Ryan Williamson · Katerina Clemens · Matthew Smith · Byron M Yu
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #146
OnACID: Online Analysis of Calcium Imaging Data in Real Time
Andrea Giovannucci · Johannes Friedrich · Matt Kaufman · Anne Churchland · Dmitri Chklovskii · Liam Paninski · Eftychios Pnevmatikakis
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #147
Detrended Partial Cross Correlation for Brain Connectivity Analysis
Jaime Ide · Fábio Cappabianco · Fabio Faria · Chiang-shan R Li
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #148
Practical Bayesian Optimization for Model Fitting with Bayesian Adaptive Direct Search
Luigi Acerbi · Wei Ji
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #149
An Error Detection and Correction Framework for Connectomics
Jonathan Zung · Ignacio Tartavull
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #150
GP CaKe: Effective brain connectivity with causal kernels
Luca Ambrogioni · Max Hinne · Marcel Van Gerven · Eric Maris
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #151
Learning Neural Representations of Human Cognition across Many fMRI Studies
Arthur Mensch · Julien Mairal · Danilo Bzdok · Bertrand Thirion · Gael Varoquaux
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #152
Mapping distinct timescales of functional interactions among brain networks
Mali Sundaresan · Arshed Nabeel · Devarajan Sridharan
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #153
Robust Estimation of Neural Signals in Calcium Imaging
Hakan Inan · Murat A. Erdogdu · Mark Schnitzer
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #154
Learning the Morphology of Brain Signals Using Alpha-Stable Convolutional Sparse Coding
Mainak Jas · Tom Dupré la Tour · Umut Simsekli · Alexandre Gramfort
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #155
Streaming Weak Submodularity: Interpreting Neural Networks on the Fly
Ethan Elenberg · Alexandros Dimakis · Moran Feldman · Amin Karbasi
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #156
Decomposable Submodular Function Minimization: Discrete and Continuous
Alina Ene · Huy Nguyen · Laszlo Vegh
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #157
Differentiable Learning of Submodular Functions
Josip Djolonga · Andreas Krause
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #158
Robust Optimization for Non-Convex Objectives
Yaron Singer · Robert S Chen · Vasilis Syrgkanis · Brendan Lucier
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #159
On the Optimization Landscape of Tensor Decompositions
Rong Ge · Tengyu Ma
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #160
Gradient Descent Can Take Exponential Time to Escape Saddle Points
Simon Du · Chi Jin · Jason D Lee · Michael Jordan · Aarti Singh · Barnabas Poczos
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #161
Convolutional Phase Retrieval
Qing Qu · Yuqian Zhang · Yonina Eldar · John Wright
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #162
Implicit Regularization in Matrix Factorization
Suriya Gunasekar · Blake Woodworth · Srinadh Bhojanapalli · Behnam Neyshabur · Nati Srebro
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #163
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration
Jason Altschuler · Jonathan Weed · Philippe Rigollet
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #164
On Frank-Wolfe and Equilibrium Computation
Jacob D Abernethy · Jun-Kun Wang
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #165
Greedy Algorithms for Cone Constrained Optimization with Convergence Guarantees
Francesco Locatello · Michael Tschannen · Gunnar Raetsch · Martin Jaggi
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #166
When Cyclic Coordinate Descent Beats Randomized Coordinate Descent
Mert Gurbuzbalaban · Nuri Vanli · Asuman Ozdaglar
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #167
Linear Convergence of a Frank-Wolfe Type Algorithm over Trace-Norm Balls
Zeyuan Allen-Zhu · Elad Hazan · Wei Hu · Yuanzhi Li
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #168
Adaptive Accelerated Gradient Converging Method under H\"{o}lderian Error Bound Condition
Mingrui Liu · Tianbao Yang
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #169
Searching in the Dark: Practical SVRG Methods under Error Bound Conditions with Guarantee
Yi Xu · Qihang Lin · Tianbao Yang
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #170
Geometric Descent Method for Convex Composite Minimization
Shixiang Chen · Shiqian Ma · Wei Liu
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #171
Faster and Non-ergodic O(1/K) Stochastic Alternating Direction Method of Multipliers
Cong Fang · Feng Cheng · Zhouchen Lin
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #172
Doubly Accelerated Stochastic Variance Reduced Dual Averaging Method for Regularized Empirical Risk Minimization
Tomoya Murata · Taiji Suzuki
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #173
Limitations on Variance-Reduction and Acceleration Schemes for Finite Sums Optimization
Yossi Arjevani
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #174
Nonlinear Acceleration of Stochastic Algorithms
Damien Scieur · Francis Bach · Alexandre d'Aspremont
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #175
Acceleration and Averaging in Stochastic Descent Dynamics
Walid Krichene
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #176
Multiscale Semi-Markov Dynamics for Intracortical Brain-Computer Interfaces
Daniel Milstein · Jason Pacheco · Leigh Hochberg · John D Simeral · Beata Jarosiewicz · Erik Sudderth
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #177
EEG-GRAPH: A Factor Graph Based Model for Capturing Spatial, Temporal, and Observational Relationships in Electroencephalograms
Yogatheesan Varatharajah · Min Jin Chong · Krishnakant Saboo · Brent Berry · Benjamin Brinkmann · Gregory Worrell · Ravishankar Iyer
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #178
Asynchronous Parallel Coordinate Minimization for MAP Inference
Ofer Meshi · Alexander Schwing
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #179
Speeding Up Latent Variable Gaussian Graphical Model Estimation via Nonconvex Optimization
Pan Xu · Jian Ma · Quanquan Gu
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #180
The Expxorcist: Nonparametric Graphical Models Via Conditional Exponential Densities
Arun Suggala · Mladen Kolar · Pradeep Ravikumar
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #181
Reducing Reparameterization Gradient Variance
Andrew Miller · Nick Foti · Alexander D'Amour · Ryan Adams
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #182
Robust Conditional Probabilities
Yoav Wald · Amir Globerson
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #183
Stein Variational Gradient Descent as Gradient Flow
Qiang Liu
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #184
Parallel Streaming Wasserstein Barycenters
Matthew Staib · Sebastian Claici · Justin M Solomon · Stefanie Jegelka
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #185
AIDE: An algorithm for measuring the accuracy of probabilistic inference algorithms
Marco Cusumano-Towner · Vikash K Mansinghka
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #186
Deep Dynamic Poisson Factorization Model
Chengyue Gong · win-bin huang
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #187
On the Model Shrinkage Effect of Gamma Process Edge Partition Models
Iku Ohama · Issei Sato · Takuya Kida · Hiroki Arimura
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #188
Model evidence from nonequilibrium simulations
Michael Habeck
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #189
A-NICE-MC: Adversarial Training for MCMC
Jiaming Song · Shengjia Zhao · Stefano Ermon
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #190
Identification of Gaussian Process State Space Models
Stefanos Eleftheriadis · Tom Nicholson · Marc Deisenroth · James Hensman
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #191
Streaming Sparse Gaussian Process Approximations
Thang D Bui · Cuong Nguyen · Richard E Turner
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #192
Bayesian Optimization with Gradients
Jian Wu · Matthias Poloczek · Andrew Wilson · Peter Frazier
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #193
Variational Inference for Gaussian Process Models with Linear Complexity
Ching-An Cheng · Byron Boots
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #194
Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes
Zhenwen Dai · Mauricio A. Álvarez · Neil Lawrence
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #195
Non-Stationary Spectral Kernels
Sami Remes · Markus Heinonen · Samuel Kaski
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #196
Scalable Log Determinants for Gaussian Process Kernel Learning
David Eriksson · Kun Dong · David Bindel · Andrew Wilson · Hannes Nickisch
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #197
Spectral Mixture Kernels for Multi-Output Gaussian Processes
Gabriel Parra · Felipe Tobar
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #198
Linearly constrained Gaussian processes
Carl Jidling · Niklas Wahlström · Adrian Wills · Thomas B Schön
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #199
Hindsight Experience Replay
Marcin Andrychowicz · Filip Wolski · Alex Ray · Jonas Schneider · Rachel Fong · Peter Welinder · Bob McGrew · Josh Tobin · OpenAI Pieter Abbeel · Wojciech Zaremba
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #200
Log-normality and Skewness of Estimated State/Action Values in Reinforcement Learning
Liangpeng Zhang · Ke Tang · Xin Yao
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #201
Finite sample analysis of the GTD Policy Evaluation Algorithms in Markov Setting
Yue Wang
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #202
Inverse Filtering for Hidden Markov Models
Robert Mattila · Cristian Rojas · Vikram Krishnamurthy · Bo Wahlberg
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #203
Safe Model-based Reinforcement Learning with Stability Guarantees
Felix Berkenkamp · Matteo Turchetta · Angela Schoellig · Andreas Krause
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #204
Data-Efficient Reinforcement Learning in Continuous State-Action Gaussian-POMDPs
Rowan McAllister · Carl Edward Rasmussen
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #205
Linear regression without correspondence
Daniel Hsu · Kevin Shi · Xiaorui Sun
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #206
On the Complexity of Learning Neural Networks
Le Song · Santosh Vempala · John Wilmes · Bo Xie
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #207
Near Optimal Sketching of Low-Rank Tensor Regression
Jarvis Haupt · Xingguo Li · David Woodruff
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #208
Is Input Sparsity Time Possible for Kernel Low-Rank Approximation?
Cameron Musco · David Woodruff
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #209
Higher-Order Total Variation Classes on Grids: Minimax Theory and Trend Filtering Methods
Veeranjaneyulu Sadhanala · Yu-Xiang Wang · James Sharpnack · Ryan Tibshirani
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #210
Alternating Estimation for Structured High-Dimensional Multi-Response Models
Sheng Chen · Arindam Banerjee
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #211
Adaptive Clustering through Semidefinite Programming
Martin Royer
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #212
Compressing the Gram Matrix for Learning Neural Networks in Polynomial Time
Surbhi Goel · Adam Klivans
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #213
Learning with Average Top-k Loss
Yanbo Fan · Siwei Lyu · Yiming Ying · Baogang Hu
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #214
Hierarchical Clustering Beyond the Worst-Case
Vincent Cohen-Addad · Varun Kanade · Frederik Mallmann-Trenn
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #215
Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee
Alireza Aghasi · Nam Nguyen · Justin Romberg
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #216
A graph-theoretic approach to multitasking
Noga Alon · Daniel Reichman · Igor Shinkar · Tal Wagner · Sebastian Musslick · Tom Griffiths · Jonathan D Cohen · Biswadip dey · Kayhan Ozcimder
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #217
Information-theoretic analysis of generalization capability of learning algorithms
Maxim Raginsky · Aolin Xu
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #218
Independence clustering (without a matrix)
Daniil Ryabko
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #219
Polynomial Codes: an Optimal Design for High-Dimensional Coded Matrix Multiplication
Qian Yu · Mohammad Maddah-Ali · Salman Avestimehr
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #220
Estimating Mutual Information for Discrete-Continuous Mixtures
Weihao Gao · Sreeram Kannan · Sewoong Oh · Pramod Viswanath
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #221
Best Response Regression
Omer Ben Porat · Moshe Tennenholtz
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #222
Statistical Cost Sharing
Eric Balkanski · Umar Syed · Sergei Vassilvitskii
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #223
A Sample Complexity Measure with Applications to Learning Optimal Auctions
Vasilis Syrgkanis
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #224
Multiplicative Weights Update with Constant Step-Size in Congestion Games: Convergence, Limit Cycles and Chaos
Gerasimos Palaiopanos · Ioannis Panageas · Georgios Piliouras
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #225
Efficiency Guarantees from Data
Darrell Hoy · Denis Nekipelov · Vasilis Syrgkanis
Poster
Tue Dec 5th 06:30 -- 10:30 PM @ Pacific Ballroom #226
Safe and Nested Subgame Solving for Imperfect-Information Games
Noam Brown · Tuomas Sandholm