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The 2020 schedule is still incomplete
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Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT) @ Virtual
Learning and Evaluating Contextual Embedding of Source Code
Aditya Kanade · Petros Maniatis · Gogul Balakrishnan · Kensen Shi
[ Slides
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT) @ Virtual
Pretrained Generalized Autoregressive Model with Adaptive Probabilistic Label Clusters for Extreme Multi-label Text Classification
Hui Ye · Zhiyu Chen · Da-Han Wang · Brian D Davison
[ Slides
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT) @ Virtual
Inductive Relation Prediction by Subgraph Reasoning
Komal Teru · Etienne Denis · Will Hamilton
[ Slides
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT) @ Virtual
Planning to Explore via Self-Supervised World Models
Ramanan Sekar · Oleh Rybkin · Kostas Daniilidis · Pieter Abbeel · Danijar Hafner · Deepak Pathak
[ Slides
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT) @ Virtual
Frustratingly Simple Few-Shot Object Detection
Xin Wang · Thomas Huang · Joseph E Gonzalez · Trevor Darrell · Fisher Yu
[ Slides
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Online mirror descent and dual averaging: keeping pace in the dynamic case
Huang Fang · Nick Harvey · Victor Sanches Portella · Michael Friedlander
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Private Outsourced Bayesian Optimization
Dmitrii Kharkovskii · Zhongxiang Dai · Bryan Kian Hsiang Low
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
A Sequential Self Teaching Approach for Improving Generalization in Sound Event Recognition
Anurag Kumar · Vamsi Krishna Ithapu
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Polynomial Tensor Sketch for Element-wise Function of Low-Rank Matrix
Insu Han · Haim Avron · Jinwoo Shin
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Budgeted Online Influence Maximization
Pierre Perrault · Jennifer Healey · Zheng Wen · Michal Valko
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Decoupled Greedy Learning of CNNs
Eugene Belilovsky · Michael Eickenberg · Edouard Oyallon
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Predicting deliberative outcomes
Vikas K Garg · Tommi Jaakkola
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing
Zhe Zeng · Paolo Morettin · Fanqi Yan · Antonio Vergari · Guy Van den Broeck
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Approximation Capabilities of Neural ODEs and Invertible Residual Networks
Han Zhang · Xi Gao · Jacob Unterman · Tomasz Arodz
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning
Kimin Lee · Younggyo Seo · Seunghyun Lee · Honglak Lee · Jinwoo Shin
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Black-box Certification and Learning under Adversarial Perturbations
Hassan Ashtiani · Vinayak Pathak · Ruth Urner
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Negative Sampling in Semi-Supervised learning
John Chen · Vatsal Shah · Anastasios Kyrillidis
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT) @ Virtual
Choice Set Optimization Under Discrete Choice Models of Group Decisions
Kiran Tomlinson · Austin Benson
[ Slides
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Sets Clustering
Ibrahim Jubran · Murad Tukan · Alaa Maalouf · Dan Feldman
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations
Florian Tramer · Jens Behrmann · Nicholas Carlini · Nicolas Papernot · Joern-Henrik Jacobsen
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Communication-Efficient Distributed PCA by Riemannian Optimization
Long-Kai Huang · Jialin Pan
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT) @ Virtual
Optimizing Black-box Metrics with Adaptive Surrogates
Qijia Jiang · Olaoluwa Adigun · Harikrishna Narasimhan · Mahdi Milani Fard · Maya Gupta
[ Slides
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT) @ Virtual
Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings
Jesse Zhang · Brian Cheung · Chelsea Finn · Sergey Levine · Dinesh Jayaraman
[ Slides
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Randomly Projected Additive Gaussian Processes for Regression
Ian Delbridge · David S Bindel · Andrew Wilson
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Stochastic Gradient and Langevin Processes
Xiang Cheng · Dong Yin · Peter Bartlett · Michael Jordan
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT) @ Virtual
The Non-IID Data Quagmire of Decentralized Machine Learning
Kevin Hsieh · Amar Phanishayee · Onur Mutlu · Phillip Gibbons
[ Slides
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Representing Unordered Data Using Complex-Weighted Multiset Automata
Justin DeBenedetto · David Chiang
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Imputer: Sequence Modelling via Imputation and Dynamic Programming
William Chan · Chitwan Saharia · Geoffrey Hinton · Mohammad Norouzi · Navdeep Jaitly
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Boosting Deep Neural Network Efficiency with Dual-Module Inference
Liu Liu · Lei Deng · Zhaodong Chen · yuke wang · Shuangchen Li · Jingwei Zhang · Yihua Yang · Zhenyu Gu · Yufei Ding · Yuan Xie
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
A general recurrent state space framework for modeling neural dynamics during decision-making
David Zoltowski · Jonathan Pillow · Scott Linderman
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT) @ Virtual
InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs
Zinan Lin · Kiran Thekumparampil · Giulia Fanti · Sewoong Oh
[ Slides
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Coresets for Clustering in Graphs of Bounded Treewidth
Daniel Baker · Vladimir Braverman · Lingxiao Huang · Shaofeng H.-C. Jiang · Robert Krauthgamer · Xuan Wu
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Exploration Through Reward Biasing: Reward-Biased Maximum Likelihood Estimation for Stochastic Multi-Armed Bandits
Xi Liu · Ping-Chun Hsieh · Yu Heng Hung · Anirban Bhattacharya · P. Kumar
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Self-Modulating Nonparametric Event-Tensor Factorization
Zheng Wang · Xinqi Chu · Shandian Zhe
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT) @ Virtual
On conditional versus marginal bias in multi-armed bandits
Jaehyeok Shin · Aaditya Ramdas · Alessandro Rinaldo
[ Slides
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Identifying the Reward Function by Anchor Actions
Sinong Geng · Houssam Nassif · Charlie Manzanares · Max Reppen · Ronnie Sircar
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Individual Calibration with Randomized Forecasting
Shengjia Zhao · Tengyu Ma · Stefano Ermon
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Undirected Graphical Models as Approximate Posteriors
Arash Vahdat · Evgeny Andriyash · William Macready
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT) @ Virtual
Sample Amplification: Increasing Dataset Size even when Learning is Impossible
Brian Axelrod · Shivam Garg · Vatsal Sharan · Gregory Valiant
[ Slides
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Adversarial Mutual Information for Text Generation
Boyuan Pan · Yazheng Yang · Kaizhao Liang · Bhavya Kailkhura · Zhongming Jin · Xian-Sheng Hua · Deng Cai · Bo Li
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Approximating Stacked and Bidirectional Recurrent Architectures with the Delayed Recurrent Neural Network
Javier Turek · Shailee Jain · Vy Vo · Mihai Capotă · Alexander Huth · Theodore Willke
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Understanding Self-Training for Gradual Domain Adaptation
Ananya Kumar · Tengyu Ma · Percy Liang
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Learning to Score Behaviors for Guided Policy Optimization
Aldo Pacchiano · Jack Parker-Holder · Yunhao Tang · Krzysztof Choromanski · Anna Choromanska · Michael Jordan
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
The Usual Suspects? Reassessing Blame for VAE Posterior Collapse
Bin Dai · Ziyu Wang · David Wipf
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT) @ Virtual
Sparse Shrunk Additive Models
guodong liu · Hong Chen · Heng Huang
[ Slides
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT) @ Virtual
Superpolynomial Lower Bounds for Learning One-Layer Neural Networks using Gradient Descent
Surbhi Goel · Aravind Gollakota · Zhihan Jin · Sushrut Karmalkar · Adam Klivans
[ Slides
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT) @ Virtual
On Coresets for Regularized Regression
Rachit Chhaya · Supratim Shit · Anirban Dasgupta
[ Slides
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT) @ Virtual
Fine-Grained Analysis of Stability and Generalization for Stochastic Gradient Descent
Yunwen Lei · Yiming Ying
[ Slides
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Divide and Conquer: Leveraging Intermediate Feature Representations for Quantized Training of Neural Networks
Ahmed T. Elthakeb · Prannoy Pilligundla · FatemehSadat Mireshghallah · Alexander Cloninger · Hadi Esmaeilzadeh
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT) @ Virtual
Class-Weighted Classification: Trade-offs and Robust Approaches
Ziyu Xu · Chen Dan · Justin Khim · Pradeep Ravikumar
[ Slides
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT) @ Virtual
Efficient Policy Learning from Surrogate-Loss Classification Reductions
Andrew Bennett · Nathan Kallus
[ Slides
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Spectral Graph Matching and Regularized Quadratic Relaxations: Algorithm and Theory
Zhou Fan · Cheng Mao · Yihong Wu · Jiaming Xu
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search
Yong Guo · Yaofo Chen · Yin Zheng · Peilin Zhao · Jian Chen · Junzhou Huang · Mingkui Tan
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Structured Linear Contextual Bandits: A Sharp and Geometric Smoothed Analysis
Vidyashankar Sivakumar · Steven Wu · Arindam Banerjee
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Optimal transport mapping via input convex neural networks
Ashok Vardhan Makkuva · Amirhossein Taghvaei · Sewoong Oh · Jason Lee
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Strength from Weakness: Fast Learning Using Weak Supervision
Joshua Robinson · Stefanie Jegelka · Suvrit Sra
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Alleviating Privacy Attacks via Causal Learning
Shruti Tople · Amit Sharma · Aditya Nori
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT) @ Virtual
Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism
Wang Chi Cheung · David Simchi-Levi · Ruihao Zhu
[ Slides
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Safe screening rules for L0-regression from Perspective Relaxations
Alper Atamturk · Andres Gomez
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Circuit-Based Intrinsic Methods to Detect Overfitting
Satrajit Chatterjee · Alan Mishchenko
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Robust Outlier Arm Identification
Yinglun Zhu · Sumeet Katariya · Robert Nowak
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
(Locally) Differentially Private Combinatorial Semi-Bandits
Xiaoyu Chen · Kai Zheng · Zixin Zhou · Yunchang Yang · Wei Chen · Liwei Wang
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Proper Network Interpretability Helps Adversarial Robustness in Classification
Akhilan Boopathy · Sijia Liu · Gaoyuan Zhang · Cynthia Liu · Pin-Yu Chen · Shiyu Chang · Luca Daniel
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 09:00 PM -- 09:45 PM (PDT)
Structure Adaptive Algorithms for Stochastic Bandits
Rémy Degenne · Han Shao · Wouter Koolen
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 07:00 PM -- 07:45 PM (PDT)
Predictive Multiplicity in Classification
Charles Marx · Flavio Calmon · Berk Ustun
Poster
Wed Jul 15 08:00 AM -- 08:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Adversarial Filters of Dataset Biases
Ronan Le Bras · Swabha Swayamdipta · Chandra Bhagavatula · Rowan Zellers · Matthew Peters · Ashish Sabharwal · Yejin Choi