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Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #1
State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations
Alex Lamb · Jonathan Binas · Anirudh Goyal · Sandeep Subramanian · Ioannis Mitliagkas · Yoshua Bengio · Michael Mozer
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #2
Variational Laplace Autoencoders
Yookoon Park · Chris Kim · Gunhee Kim
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #3
Latent Normalizing Flows for Discrete Sequences
Zachary Ziegler · Alexander Rush
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #4
Multi-objective training of Generative Adversarial Networks with multiple discriminators
Isabela Albuquerque · Joao Monteiro · Thang Doan · Breandan Considine · Tiago Falk · Ioannis Mitliagkas
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #5
Learning Discrete and Continuous Factors of Data via Alternating Disentanglement
Yeonwoo Jeong · Hyun Oh Song
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #6
Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables
Friso Kingma · Pieter Abbeel · Jonathan Ho
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #7
Graphite: Iterative Generative Modeling of Graphs
Aditya Grover · Aaron Zweig · Stefano Ermon
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #9
MIWAE: Deep Generative Modelling and Imputation of Incomplete Data Sets
Pierre-Alexandre Mattei · Jes Frellsen
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #10
On Scalable and Efficient Computation of Large Scale Optimal Transport
Yujia Xie · Minshuo Chen · Haoming Jiang · Tuo Zhao · Hongyuan Zha
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #11
Understanding and correcting pathologies in the training of learned optimizers
Luke Metz · Niru Maheswaranathan · Jeremy Nixon · Daniel Freeman · Jascha Sohl-Dickstein
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #12
Demystifying Dropout
Hongchang Gao · Jian Pei · Heng Huang
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #13
Ladder Capsule Network
Taewon Jeong · Youngmin Lee · Heeyoung Kim
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #14
Unreproducible Research is Reproducible
Xavier Bouthillier · César Laurent · Pascal Vincent
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #15
Geometric Scattering for Graph Data Analysis
Feng Gao · Guy Wolf · Matthew Hirn
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #16
Robust Inference via Generative Classifiers for Handling Noisy Labels
Kimin Lee · Sukmin Yun · Kibok Lee · Honglak Lee · Bo Li · Jinwoo Shin
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #17
LIT: Learned Intermediate Representation Training for Model Compression
Animesh Koratana · Daniel Kang · Peter Bailis · Matei Zaharia
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #18
Analyzing and Improving Representations with the Soft Nearest Neighbor Loss
Nicholas Frosst · Nicolas Papernot · Geoffrey Hinton
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #19
What is the Effect of Importance Weighting in Deep Learning?
Jonathon Byrd · Zachary Lipton
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #20
Similarity of Neural Network Representations Revisited
Simon Kornblith · Mohammad Norouzi · Honglak Lee · Geoffrey Hinton
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #21
Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations
Tri Dao · Albert Gu · Matthew Eichhorn · Atri Rudra · Christopher Re
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #22
Distributed, Egocentric Representations of Graphs for Detecting Critical Structures
Ruo-Chun Tzeng · Shan-Hung (Brandon) Wu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #23
Breaking the Softmax Bottleneck via Learnable Monotonic Pointwise Non-linearities
Octavian-Eugen Ganea · Sylvain Gelly · Gary Becigneul · Aliaksei Severyn
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #24
Multi-Object Representation Learning with Iterative Variational Inference
Klaus Greff · Raphael Lopez Kaufman · Rishabh Kabra · Nicholas Watters · Christopher Burgess · Daniel Zoran · Loic Matthey · Matthew Botvinick · Alexander Lerchner
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #25
Cross-Domain 3D Equivariant Image Embeddings
Carlos Esteves · Avneesh Sud · Zhengyi Luo · Kostas Daniilidis · Ameesh Makadia
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #26
Loss Landscapes of Regularized Linear Autoencoders
Daniel Kunin · Jonathan Bloom · Aleksandrina Goeva · Cotton Seed
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #27
Hyperbolic Disk Embeddings for Directed Acyclic Graphs
Ryota Suzuki · Ryusuke Takahama · Shun Onoda
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #28
LatentGNN: Learning Efficient Non-local Relations for Visual Recognition
Songyang Zhang · Xuming He · Shipeng Yan
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #29
Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness
Raphael Suter · Djordje Miladinovic · Bernhard Schölkopf · Stefan Bauer
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #30
Lorentzian Distance Learning for Hyperbolic Representations
Marc Law · Renjie Liao · Jake Snell · Richard Zemel
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #31
Batch Policy Learning under Constraints
Hoang Le · Cameron Voloshin · Yisong Yue
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #32
Quantifying Generalization in Reinforcement Learning
Karl Cobbe · Oleg Klimov · Chris Hesse · Taehoon Kim · John Schulman
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #33
Learning Latent Dynamics for Planning from Pixels
Danijar Hafner · Timothy Lillicrap · Ian Fischer · Ruben Villegas · David Ha · Honglak Lee · James Davidson
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #34
Projections for Approximate Policy Iteration Algorithms
Riad Akrour · Joni Pajarinen · Jan Peters · Gerhard Neumann
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #35
Learning Structured Decision Problems with Unawareness
Craig Innes · Alex Lascarides
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #36
Calibrated Model-Based Deep Reinforcement Learning
Ali Malik · Volodymyr Kuleshov · Jiaming Song · Danny Nemer · Harlan Seymour · Stefano Ermon
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #37
Reinforcement Learning in Configurable Continuous Environments
Alberto Maria Metelli · Emanuele Ghelfi · Marcello Restelli
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #38
Target-Based Temporal-Difference Learning
Donghwan Lee · Niao He
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #39
Iterative Linearized Control: Stable Algorithms and Complexity Guarantees
Vincent Roulet · Dmitriy Drusvyatskiy · Siddhartha Srinivasa · Zaid Harchaoui
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #40
Finding Options that Minimize Planning Time
Yuu Jinnai · David Abel · David Hershkowitz · Michael L. Littman · George Konidaris
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #41
Stochastic Beams and Where To Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement
Wouter Kool · Herke van Hoof · Max Welling
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #42
Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs
Lingbing Guo · Zequn Sun · Wei Hu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #43
Meta-Learning Neural Bloom Filters
Jack Rae · Sergey Bartunov · Timothy Lillicrap
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #44
CoT: Cooperative Training for Generative Modeling of Discrete Data
Sidi Lu · Lantao Yu · Siyuan Feng · Yaoming Zhu · Weinan Zhang
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #45
Non-Monotonic Sequential Text Generation
Sean Welleck · Kiante Brantley · Hal Daume · Kyunghyun Cho
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #46
Insertion Transformer: Flexible Sequence Generation via Insertion Operations
Mitchell Stern · William Chan · Jamie Kiros · Jakob Uszkoreit
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #47
Empirical Analysis of Beam Search Performance Degradation in Neural Sequence Models
Eldan Cohen · Christopher Beck
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #48
Trainable Decoding of Sets of Sequences for Neural Sequence Models
Ashwin Kalyan · Peter Anderson · Stefan Lee · Dhruv Batra
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #49
Learning to Generalize from Sparse and Underspecified Rewards
Rishabh Agarwal · Chen Liang · Dale Schuurmans · Mohammad Norouzi
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #50
Efficient Training of BERT by Progressively Stacking
Linyuan Gong · Di He · Zhuohan Li · Tao Qin · Liwei Wang · Tie-Yan Liu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #51
Decentralized Exploration in Multi-Armed Bandits
Raphaël Féraud · REDA ALAMI · Romain Laroche
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #52
Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback
Chicheng Zhang · Alekh Agarwal · Hal Daume · John Langford · Sahand Negahban
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #53
Exploiting structure of uncertainty for efficient matroid semi-bandits
Pierre Perrault · Vianney Perchet · Michal Valko
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #54
PAC Identification of Many Good Arms in Stochastic Multi-Armed Bandits
Arghya Roy Chaudhuri · Shivaram Kalyanakrishnan
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #55
Contextual Multi-armed Bandit Algorithm for Semiparametric Reward Model
Gi-Soo Kim · Myunghee Cho Paik
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #56
Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning
Jakob Foerster · Francis Song · Edward Hughes · Neil Burch · Iain Dunning · Shimon Whiteson · Matthew Botvinick · Michael Bowling
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #57
TarMAC: Targeted Multi-Agent Communication
Abhishek Das · Theophile Gervet · Joshua Romoff · Dhruv Batra · Devi Parikh · Michael Rabbat · Joelle Pineau
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #58
QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning
Kyunghwan Son · Daewoo Kim · Wan Ju Kang · David Earl Hostallero · Yung Yi
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #59
Actor-Attention-Critic for Multi-Agent Reinforcement Learning
Shariq Iqbal · Fei Sha
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #60
Finite-Time Analysis of Distributed TD(0) with Linear Function Approximation on Multi-Agent Reinforcement Learning
Thinh Doan · Siva Maguluri · Justin Romberg
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #61
Neural Network Attributions: A Causal Perspective
Aditya Chattopadhyay · Piyushi Manupriya · Anirban Sarkar · Vineeth N Balasubramanian
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #62
Towards a Deep and Unified Understanding of Deep Neural Models in NLP
Chaoyu Guan · Xiting Wang · Quanshi Zhang · Runjin Chen · Di He · Xing Xie
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #63
Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Value Approximation
Marco Ancona · Cengiz Oztireli · Markus Gross
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #64
Functional Transparency for Structured Data: a Game-Theoretic Approach
Guang-He Lee · Wengong Jin · David Alvarez-Melis · Tommi Jaakkola
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #65
Exploring interpretable LSTM neural networks over multi-variable data
Tian Guo · Tao LIN · Nino Antulov-Fantulin
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #66
TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing
Augustus Odena · Catherine Olsson · David Andersen · Ian Goodfellow
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #67
Gaining Free or Low-Cost Interpretability with Interpretable Partial Substitute
Tong Wang
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #68
State-Regularized Recurrent Neural Networks
Cheng Wang · Mathias Niepert
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #69
Understanding Impacts of High-Order Loss Approximations and Features in Deep Learning Interpretation
Sahil Singla · Eric Wallace · Shi Feng · Soheil Feizi
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #70
On the Connection Between Adversarial Robustness and Saliency Map Interpretability
Christian Etmann · Sebastian Lunz · Peter Maass · Carola-Bibiane Schönlieb
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #71
Why do Larger Models Generalize Better? A Theoretical Perspective via the XOR Problem
Alon Brutzkus · Amir Globerson
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #72
On the Spectral Bias of Neural Networks
Nasim Rahaman · Aristide Baratin · Devansh Arpit · Felix Draxler · Min Lin · Fred Hamprecht · Yoshua Bengio · Aaron Courville
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #73
Recursive Sketches for Modular Deep Learning
Badih Ghazi · Rina Panigrahy · Joshua R. Wang
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #74
Zero-Shot Knowledge Distillation in Deep Networks
Gaurav Kumar Nayak · Konda Reddy Mopuri · Vaisakh Shaj · Venkatesh Babu Radhakrishnan · Anirban Chakraborty
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #75
A Convergence Theory for Deep Learning via Over-Parameterization
Zeyuan Allen-Zhu · Yuanzhi Li · Zhao Song
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #76
A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks
Umut Simsekli · Levent Sagun · Mert Gurbuzbalaban
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #77
Approximation and non-parametric estimation of ResNet-type convolutional neural networks
Kenta Oono · Taiji Suzuki
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #78
Global Convergence of Block Coordinate Descent in Deep Learning
Jinshan ZENG · Tsz Kit Lau · Shaobo Lin · Yuan Yao
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #79
Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians
Vardan Papyan
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #80
On the Limitations of Representing Functions on Sets
Edward Wagstaff · Fabian Fuchs · Martin Engelcke · Ingmar Posner · Michael A Osborne
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #81
Probabilistic Neural Symbolic Models for Interpretable Visual Question Answering
Shanmukha Ramakrishna Vedantam · Karan Desai · Stefan Lee · Marcus Rohrbach · Dhruv Batra · Devi Parikh
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #82
Nonparametric Bayesian Deep Networks with Local Competition
Konstantinos Panousis · Sotirios Chatzis · Sergios Theodoridis
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #83
Good Initializations of Variational Bayes for Deep Models
Simone Rossi · Pietro Michiardi · Maurizio Filippone
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #84
Dropout as a Structured Shrinkage Prior
Eric Nalisnick · Jose Miguel Hernandez-Lobato · Padhraic Smyth
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #85
ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables
Mingzhang Yin · Yuguang Yue · Mingyuan Zhou
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #86
On Variational Bounds of Mutual Information
Ben Poole · Sherjil Ozair · Aäron van den Oord · Alexander Alemi · George Tucker
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #87
Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation
Samuel Wiqvist · Pierre-Alexandre Mattei · Umberto Picchini · Jes Frellsen
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #88
Hierarchical Importance Weighted Autoencoders
Chin-Wei Huang · Kris Sankaran · Eeshan Dhekane · Alexandre Lacoste · Aaron Courville
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #89
Faster Attend-Infer-Repeat with Tractable Probabilistic Models
Karl Stelzner · Robert Peharz · Kristian Kersting
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #90
Understanding Priors in Bayesian Neural Networks at the Unit Level
Mariia Vladimirova · Jakob Verbeek · Pablo Mesejo · Julyan Arbel
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #91
Defending Against Saddle Point Attack in Byzantine-Robust Distributed Learning
Dong Yin · Yudong Chen · Kannan Ramchandran · Peter Bartlett
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #92
Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization
Baojian Zhou · Feng Chen · Yiming Ying
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #93
Neuron birth-death dynamics accelerates gradient descent and converges asymptotically
Grant Rotskoff · Samy Jelassi · Joan Bruna · Eric Vanden-Eijnden
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #94
Width Provably Matters in Optimization for Deep Linear Neural Networks
Simon Du · Wei Hu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #95
Overparameterized Nonlinear Learning: Gradient Descent Takes the Shortest Path?
Samet Oymak · Mahdi Soltanolkotabi
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #96
Power k-Means Clustering
Jason Xu · Kenneth Lange
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #97
Distributed Learning over Unreliable Networks
Chen Yu · Hanlin Tang · Cedric Renggli · Simon Kassing · Ankit Singla · Dan Alistarh · Ce Zhang · Ji Liu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #98
Escaping Saddle Points with Adaptive Gradient Methods
Matthew Staib · Sashank Jakkam Reddi · Satyen Kale · Sanjiv Kumar · Suvrit Sra
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #99
$\texttt{DoubleSqueeze}$: Parallel Stochastic Gradient Descent with Double-pass Error-Compensated Compression
Hanlin Tang · Chen Yu · Xiangru Lian · Tong Zhang · Ji Liu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #100
Model Function Based Conditional Gradient Method with Armijo-like Line Search
Peter Ochs · Yura Malitsky
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #101
Analogies Explained: Towards Understanding Word Embeddings
Carl Allen · Timothy Hospedales
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #102
Parameter-Efficient Transfer Learning for NLP
Neil Houlsby · Andrei Giurgiu · Stanislaw Jastrzebski · Bruna Morrone · Quentin de Laroussilhe · Andrea Gesmundo · Mona Attariyan · Sylvain Gelly
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #103
Efficient On-Device Models using Neural Projections
Sujith Ravi
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #104
Deep Residual Output Layers for Neural Language Generation
Nikolaos Pappas · James Henderson
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #105
Improving Neural Language Modeling via Adversarial Training
Dilin Wang · Chengyue Gong · Qiang Liu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #106
Mixture Models for Diverse Machine Translation: Tricks of the Trade
Tianxiao Shen · Myle Ott · Michael Auli · Marc'Aurelio Ranzato
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #107
MASS: Masked Sequence to Sequence Pre-training for Language Generation
Kaitao Song · Xu Tan · Tao Qin · Jianfeng Lu · Tie-Yan Liu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #108
Humor in Word Embeddings: Cockamamie Gobbledegook for Nincompoops
Limor Gultchin · Genevieve Patterson · Nancy Baym · Nathaniel Swinger · Adam Kalai
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #109
MeanSum: A Neural Model for Unsupervised Multi-Document Abstractive Summarization
Eric Chu · Peter Liu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #110
CHiVE: Varying Prosody in Speech Synthesis with a Linguistically Driven Dynamic Hierarchical Conditional Variational Network
Tom Kenter · Vincent Wan · Chun-an Chan · Robert Clark · Jakub Vit
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #111
COMIC: Multi-view Clustering Without Parameter Selection
Xi Peng · Zhenyu Huang · Jiancheng Lv · Hongyuan Zhu · Joey Tianyi Zhou
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #112
The Wasserstein Transform
Facundo Memoli · Zane Smith · Zhengchao Wan
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #113
Sequential Facility Location: Approximate Submodularity and Greedy Algorithm
Ehsan Elhamifar
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #114
Neural Collaborative Subspace Clustering
Tong Zhang · Pan Ji · Mehrtash Harandi · Wenbing Huang · HONGDONG LI
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #115
Unsupervised Deep Learning by Neighbourhood Discovery
Jiabo Huang · Qi Dong · Shaogang Gong · Xiatian Zhu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #116
Autoregressive Energy Machines
Conor Durkan · Charlie Nash
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #117
Greedy Orthogonal Pivoting Algorithm for Non-Negative Matrix Factorization
Kai Zhang · Sheng Zhang · Jun Liu · Jun Wang · Jie Zhang
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #118
Noise2Self: Blind Denoising by Self-Supervision
Joshua Batson · Loic Royer
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #119
Learning Dependency Structures for Weak Supervision Models
Paroma Varma · Frederic Sala · Ann He · Alexander J Ratner · Christopher Re
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #120
Geometry and Symmetry in Short-and-Sparse Deconvolution
Han-Wen Kuo · Yenson Lau · Yuqian Zhang · John Wright
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #121
On Sparse Linear Regression in the Local Differential Privacy Model
Di Wang · Jinhui Xu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #122
Differentially Private Empirical Risk Minimization with Non-convex Loss Functions
Di Wang · Changyou Chen · Jinhui Xu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #123
Bounding User Contributions: A Bias-Variance Trade-off in Differential Privacy
Kareem Amin · Alex Kulesza · andres munoz · Sergei Vassilvitskii
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #124
Differentially Private Learning of Geometric Concepts
Haim Kaplan · Yishay Mansour · Yossi Matias · Uri Stemmer
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #125
Toward Controlling Discrimination in Online Ad Auctions
Elisa Celis · Anay Mehrotra · Nisheeth Vishnoi
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #126
Learning Optimal Fair Policies
Razieh Nabi · Daniel Malinsky · Ilya Shpitser
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #127
Fairness-Aware Learning for Continuous Attributes and Treatments
Jeremie Mary · Clément Calauzènes · Noureddine El Karoui
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #128
Fairness risk measures
Robert C Williamson · Aditya Menon
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #129
Proportionally Fair Clustering
Xingyu Chen · Brandon Fain · Liang Lyu · Kamesh Munagala
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #130
Stable and Fair Classification
Lingxiao Huang · Nisheeth Vishnoi
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #131
Flexibly Fair Representation Learning by Disentanglement
Elliot Creager · David Madras · Joern-Henrik Jacobsen · Marissa Weis · Kevin Swersky · Toniann Pitassi · Richard Zemel
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #132
Fair Regression: Quantitative Definitions and Reduction-Based Algorithms
Alekh Agarwal · Miroslav Dudik · Steven Wu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #133
Fairness without Harm: Decoupled Classifiers with Preference Guarantees
Berk Ustun · Yang Liu · David Parkes
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #134
Differentially Private Fair Learning
Matthew Jagielski · Michael Kearns · Jieming Mao · Alina Oprea · Aaron Roth · Saeed Sharifi-Malvajerdi · Jonathan Ullman
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #135
Obtaining Fairness using Optimal Transport Theory
Paula Gordaliza · Eustasio del Barrio · Gamboa Fabrice · Loubes Jean-Michel
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #136
Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions
Hao Wang · Berk Ustun · Flavio Calmon
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #137
On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning
Hoda Heidari · Vedant Nanda · Krishna Gummadi
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #138
Making Decisions that Reduce Discriminatory Impacts
Matt J. Kusner · Chris Russell · Joshua Loftus · Ricardo Silva
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #139
Submodular Maximization beyond Non-negativity: Guarantees, Fast Algorithms, and Applications
Christopher Harshaw · Moran Feldman · Justin Ward · Amin Karbasi
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #140
Online Algorithms for Rent-Or-Buy with Expert Advice
Sreenivas Gollapudi · Debmalya Panigrahi
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #141
Non-monotone Submodular Maximization with Nearly Optimal Adaptivity and Query Complexity
Matthew Fahrbach · Vahab Mirrokni · Morteza Zadimoghaddam
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #142
Categorical Feature Compression via Submodular Optimization
Mohammad Hossein Bateni · Lin Chen · Hossein Esfandiari · Thomas Fu · Vahab Mirrokni · Afshin Rostamizadeh
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #143
Multi-Frequency Phase Synchronization
Tingran Gao · Zhizhen Zhao
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #144
Faster Algorithms for Binary Matrix Factorization
Ravi Kumar · Rina Panigrahy · Ali Rahimi · David Woodruff
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #146
Guided evolutionary strategies: augmenting random search with surrogate gradients
Niru Maheswaranathan · Luke Metz · George Tucker · Dami Choi · Jascha Sohl-Dickstein
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #147
Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces
Johannes Kirschner · Mojmir Mutny · Nicole Hiller · Rasmus Ischebeck · Andreas Krause
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #148
Semi-Cyclic Stochastic Gradient Descent
Hubert Eichner · Tomer Koren · H. Brendan McMahan · Nati Srebro · Kunal Talwar
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #149
Matrix-Free Preconditioning in Online Learning
Ashok Cutkosky · Tamas Sarlos
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #150
Online Convex Optimization in Adversarial Markov Decision Processes
Aviv Rosenberg · Yishay Mansour
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #151
Competing Against Nash Equilibria in Adversarially Changing Zero-Sum Games
Adrian Rivera Cardoso · Jacob Abernethy · He Wang · Huan Xu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #152
Online Learning with Sleeping Experts and Feedback Graphs
Corinna Cortes · Giulia DeSalvo · Claudio Gentile · Mehryar Mohri · Scott Yang
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #153
Incremental Randomized Sketching for Online Kernel Learning
Xiao Zhang · Shizhong Liao
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #154
Adaptive Scale-Invariant Online Algorithms for Learning Linear Models
Michal Kempka · Wojciech Kotlowski · Manfred K. Warmuth
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #155
Online Control with Adversarial Disturbances
Naman Agarwal · Brian Bullins · Elad Hazan · Sham Kakade · Karan Singh
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #156
Adversarial Online Learning with noise
Alon Resler · Yishay Mansour
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #157
Online Variance Reduction with Mixtures
Zalán Borsos · Sebastian Curi · Yehuda Levy · Andreas Krause
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #158
Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case
Alina Beygelzimer · David Pal · Balazs Szorenyi · Devanathan Thiruvenkatachari · Chen-Yu Wei · Chicheng Zhang
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #159
Learning Linear-Quadratic Regulators Efficiently with only $\sqrt{T}$ Regret
Alon Cohen · Tomer Koren · Yishay Mansour
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #160
Learning from Delayed Outcomes via Proxies with Applications to Recommender Systems
Timothy Mann · Sven Gowal · András György · Huiyi Hu · Ray Jiang · Balaji Lakshminarayanan · Prav Srinivasan
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #161
Adaptive Regret of Convex and Smooth Functions
Lijun Zhang · Tie-Yan Liu · Zhi-Hua Zhou
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #162
Online Adaptive Principal Component Analysis and Its extensions
Jianjun Yuan · Andrew Lamperski
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #163
POLITEX: Regret Bounds for Policy Iteration using Expert Prediction
Yasin Abbasi-Yadkori · Peter Bartlett · Kush Bhatia · Nevena Lazic · Csaba Szepesvari · Gellért Weisz
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #164
Anytime Online-to-Batch, Optimism and Acceleration
Ashok Cutkosky
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #165
Cautious Regret Minimization: Online Optimization with Long-Term Budget Constraints
Nikolaos Liakopoulos · Apostolos Destounis · Georgios Paschos · Thrasyvoulos Spyropoulos · Panayotis Mertikopoulos
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #166
Optimal Kronecker-Sum Approximation of Real Time Recurrent Learning
Frederik Benzing · Marcelo Matheus Gauy · Asier Mujika · Anders Martinsson · Angelika Steger
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #167
Adaptive Sensor Placement for Continuous Spaces
James A. Grant · Alexis Boukouvalas · Ryan-Rhys Griffiths · David Leslie · Sattar Vakili · Enrique Munoz De Cote
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #168
Scale-free adaptive planning for deterministic dynamics & discounted rewards
Peter Bartlett · Victor Gabillon · Jennifer A Healey · Michal Valko
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #169
Communication-Constrained Inference and the Role of Shared Randomness
Jayadev Acharya · Clément Canonne · Himanshu Tyagi
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #170
Learning and Data Selection in Big Datasets
Hossein Shokri Ghadikolaei · Hadi Ghauch · Inst. of Technology Carlo Fischione · Mikael Skoglund
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #171
Sublinear quantum algorithms for training linear and kernel-based classifiers
Tongyang Li · Shouvanik Chakrabarti · Xiaodi Wu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #172
Agnostic Federated Learning
Mehryar Mohri · Gary Sivek · Ananda Suresh
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #173
Discovering Conditionally Salient Features with Statistical Guarantees
Jaime Roquero Gimenez · James Zou
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #174
A Theoretical Analysis of Contrastive Unsupervised Representation Learning
Nikunj Umesh Saunshi · Orestis Plevrakis · Sanjeev Arora · Mikhail Khodak · Hrishikesh Khandeparkar
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #175
The information-theoretic value of unlabeled data in semi-supervised learning
Alexander Golovnev · David Pal · Balazs Szorenyi
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #176
Unsupervised Label Noise Modeling and Loss Correction
Eric Arazo · Diego Ortego · Paul Albert · Noel O'Connor · Kevin McGuinness
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #177
Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment
Yifan Wu · Ezra Winston · Divyansh Kaushik · Zachary Lipton
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #178
Pareto Optimal Streaming Unsupervised Classification
Soumya Basu · Steven Gutstein · Brent Lance · Sanjay Shakkottai
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #179
Geometric Losses for Distributional Learning
Arthur Mensch · Mathieu Blondel · Gabriel Peyré
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #180
Classification from Positive, Unlabeled and Biased Negative Data
Yu-Guan Hsieh · Gang Niu · Masashi Sugiyama
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #181
Complementary-Label Learning for Arbitrary Losses and Models
Takashi Ishida · Gang Niu · Aditya Menon · Masashi Sugiyama
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #182
Learning to Infer Program Sketches
Maxwell Nye · Luke Hewitt · Josh Tenenbaum · Armando Solar-Lezama
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #183
Hierarchically Structured Meta-learning
Huaxiu Yao · Ying WEI · Junzhou Huang · Zhenhui (Jessie) Li
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #184
Bridging Theory and Algorithm for Domain Adaptation
Yuchen Zhang · Tianle Liu · Mingsheng Long · Michael Jordan
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #185
Transfer Learning for Related Reinforcement Learning Tasks via Image-to-Image Translation
Shani Gamrian · Yoav Goldberg
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #186
Learning What and Where to Transfer
Yunhun Jang · Hankook Lee · Sung Ju Hwang · Jinwoo Shin
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #187
DBSCAN++: Towards fast and scalable density clustering
Jennifer Jang · Heinrich Jiang
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #188
Concrete Autoencoders: Differentiable Feature Selection and Reconstruction
Muhammed Fatih Balın · Abubakar Abid · James Zou
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #189
Gromov-Wasserstein Learning for Graph Matching and Node Embedding
Hongteng Xu · Dixin Luo · Hongyuan Zha · Lawrence Carin
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #190
Spectral Clustering of Signed Graphs via Matrix Power Means
Pedro Mercado · Francesco Tudisco · Matthias Hein
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #191
Coresets for Ordered Weighted Clustering
Vladimir Braverman · Shaofeng Jiang · Robert Krauthgamer · Xuan Wu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #192
Fair k-Center Clustering for Data Summarization
Matthäus Kleindessner · Pranjal Awasthi · Jamie Morgenstern
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #193
A Better k-means++ Algorithm via Local Search
Silvio Lattanzi · Christian Sohler
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #194
Kernel Normalized Cut: a Theoretical Revisit
Yoshikazu Terada · Michio Yamamoto
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #195
Guarantees for Spectral Clustering with Fairness Constraints
Matthäus Kleindessner · Samira Samadi · Pranjal Awasthi · Jamie Morgenstern
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #196
Supervised Hierarchical Clustering with Exponential Linkage
Nishant Yadav · Ari Kobren · Nicholas Monath · Andrew McCallum
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #197
Sliced-Wasserstein Flows: Nonparametric Generative Modeling via Optimal Transport and Diffusions
Antoine Liutkus · Umut Simsekli · Szymon Majewski · Alain Durmus · Fabian-Robert Stöter
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #198
Non-Asymptotic Analysis of Fractional Langevin Monte Carlo for Non-Convex Optimization
Thanh Huy Nguyen · Umut Simsekli · Gaël RICHARD
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #199
Unifying Orthogonal Monte Carlo Methods
Krzysztof Choromanski · Mark Rowland · Wenyu Chen · Adrian Weller
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #200
Adaptive Monte Carlo Multiple Testing via Multi-Armed Bandits
Martin Zhang · James Zou · David Tse
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #201
Metropolis-Hastings Generative Adversarial Networks
Ryan Turner · Jane Hung · Eric Frank · Yunus Saatchi · Jason Yosinski
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #202
Scalable Metropolis-Hastings for Exact Bayesian Inference with Large Datasets
Rob Cornish · Paul Vanetti · Alexandre Bouchard-Côté · George Deligiannidis · Arnaud Doucet
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #203
Replica Conditional Sequential Monte Carlo
Alex Shestopaloff · Arnaud Doucet
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #204
A Polynomial Time MCMC Method for Sampling from Continuous Determinantal Point Processes
Alireza Rezaei · Shayan Oveis Gharan
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #205
Adaptive Antithetic Sampling for Variance Reduction
Hongyu Ren · Shengjia Zhao · Stefano Ermon
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #206
Accelerated Flow for Probability Distributions
Amirhossein Taghvaei · Prashant Mehta
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #207
Tight Kernel Query Complexity of Kernel Ridge Regression and Kernel $k$-means Clustering
Taisuke Yasuda · David Woodruff · Manuel Fernandez
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #208
Dimensionality Reduction for Tukey Regression
Kenneth Clarkson · Ruosong Wang · David Woodruff
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #209
Efficient Full-Matrix Adaptive Regularization
Naman Agarwal · Brian Bullins · Xinyi Chen · Elad Hazan · Karan Singh · Cyril Zhang · Yi Zhang
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #210
Breaking the gridlock in Mixture-of-Experts: Consistent and Efficient Algorithms
Ashok Vardhan Makkuva · Pramod Viswanath · Sreeram Kannan · Sewoong Oh
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #211
Efficient Nonconvex Regularized Tensor Completion with Structure-aware Proximal Iterations
Quanming Yao · James Kwok · Bo Han
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #212
Robust Estimation of Tree Structured Gaussian Graphical Models
Ashish Katiyar · Jessica Hoffmann · Constantine Caramanis
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #213
Spectral Approximate Inference
Sejun Park · Eunho Yang · Se-Young Yun · Jinwoo Shin
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #214
Partially Linear Additive Gaussian Graphical Models
Sinong Geng · Minhao Yan · Mladen Kolar · Sanmi Koyejo
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #215
DAG-GNN: DAG Structure Learning with Graph Neural Networks
Yue Yu · Jie Chen · Tian Gao · Mo Yu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #216
Random Walks on Hypergraphs with Edge-Dependent Vertex Weights
Uthsav Chitra · Benjamin Raphael
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #217
Doubly Robust Joint Learning for Recommendation on Data Missing Not at Random
Xiaojie Wang · Rui Zhang · Yu Sun · Jianzhong Qi
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #218
Linear-Complexity Data-Parallel Earth Mover's Distance Approximations
Kubilay Atasu · Thomas Mittelholzer
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #219
Model Comparison for Semantic Grouping
Francisco Vargas · Kamen Brestnichki · Nils Hammerla
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #220
RaFM: Rank-Aware Factorization Machines
Xiaoshuang Chen · Yin Zheng · Jiaxing Wang · Wenye Ma · Junzhou Huang
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #221
CAB: Continuous Adaptive Blending for Policy Evaluation and Learning
Yi Su · Lequn Wang · Michele Santacatterina · Thorsten Joachims
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #222
MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement
Szu-Wei Fu · Chien-Feng Liao · Yu Tsao · Shou-De Lin
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #223
Neural Separation of Observed and Unobserved Distributions
Tavi Halperin · Ariel Ephrat · Yedid Hoshen
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #224
Almost Unsupervised Text to Speech and Automatic Speech Recognition
Yi Ren · Xu Tan · Tao Qin · Sheng Zhao · Zhou Zhao · Tie-Yan Liu
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #225
AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
Kaizhi Qian · Yang Zhang · Shiyu Chang · Xuesong Yang · Mark Hasegawa-Johnson
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #226
A fully differentiable beam search decoder
Ronan Collobert · Awni Hannun · Gabriel Synnaeve
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #227
Scaling Up Ordinal Embedding: A Landmark Approach
Jesse Anderton · Javed Aslam
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #228
Learning to select for a predefined ranking
Aleksei Ustimenko · Aleksandr Vorobev · Gleb Gusev · Pavel Serdyukov
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #229
Mallows ranking models: maximum likelihood estimate and regeneration
Wenpin Tang
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #230
Fast and Stable Maximum Likelihood Estimation for Incomplete Multinomial Models
Chenyang ZHANG · Guosheng Yin
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #231
Fast Algorithm for Generalized Multinomial Models with Ranking Data
Jiaqi Gu · Guosheng Yin
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #232
Graph Resistance and Learning from Pairwise Comparisons
Julien Hendrickx · Alex Olshevsky · Venkatesh Saligrama
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #233
Learning Context-dependent Label Permutations for Multi-label Classification
Jinseok Nam · Young-Bum Kim · Eneldo Loza Mencia · Sunghyun Park · Ruhi Sarikaya · Johannes Fürnkranz
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #234
Discovering Context Effects from Raw Choice Data
Arjun Seshadri · Alexander Peysakhovich · Johan Ugander
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #235
On the Feasibility of Learning, Rather than Assuming, Human Biases for Reward Inference
Rohin Shah · Noah Gundotra · Pieter Abbeel · Anca Dragan
Poster
Thu Jun 13 06:30 PM -- 09:00 PM (PDT) @ Pacific Ballroom #236
Learning Distance for Sequences by Learning a Ground Metric
Bing Su · Ying Wu