ICML 2020 Schedule

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 05:00 AM -- 05:45 AM (CEST)

The Usual Suspects? Reassessing Blame for VAE Posterior Collapse

In Poster Session 22

Bin Dai · Ziyu Wang · David Wipf

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 06:00 AM -- 06:45 AM (CEST)

(Locally) Differentially Private Combinatorial Semi-Bandits

In Poster Session 22

Xiaoyu Chen · Kai Zheng · Zixin Zhou · Yunchang Yang · Wei Chen · Liwei Wang

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (CEST)

Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning

In Poster Session 22

Kimin Lee · Younggyo Seo · Seunghyun Lee · Honglak Lee · Jinwoo Shin

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 05:00 AM -- 05:45 AM (CEST)

Optimal transport mapping via input convex neural networks

In Poster Session 22

Ashok Vardhan Makkuva · Amirhossein Taghvaei · Sewoong Oh · Jason Lee

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 05:00 AM -- 05:45 AM (CEST)

Sets Clustering

In Poster Session 22

Ibrahim Jubran · Murad Tukan · Alaa Maalouf · Dan Feldman

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 06:00 AM -- 06:45 AM (CEST)

Structured Linear Contextual Bandits: A Sharp and Geometric Smoothed Analysis

In Poster Session 22

Vidyashankar Sivakumar · Steven Wu · Arindam Banerjee

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 05:00 AM -- 05:45 AM (CEST) @ Virtual

Choice Set Optimization Under Discrete Choice Models of Group Decisions

In Poster Session 22

Kiran Tomlinson · Austin Benson

[ Slides]

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 05:00 AM -- 05:45 AM (CEST)

Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations

In Poster Session 22

Florian Tramer · Jens Behrmann · Nicholas Carlini · Nicolas Papernot · Joern-Henrik Jacobsen

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 06:00 AM -- 06:45 AM (CEST)

Structure Adaptive Algorithms for Stochastic Bandits

In Poster Session 22

Rémy Degenne · Han Shao · Wouter Koolen

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 06:00 AM -- 06:45 AM (CEST)

Randomly Projected Additive Gaussian Processes for Regression

In Poster Session 22

Ian Delbridge · David S Bindel · Andrew Wilson

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (CEST)

A Sequential Self Teaching Approach for Improving Generalization in Sound Event Recognition

In Poster Session 22

Anurag Kumar · Vamsi Krishna Ithapu

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (CEST)

Private Outsourced Bayesian Optimization

In Poster Session 22

Dmitrii Kharkovskii · Zhongxiang Dai · Bryan Kian Hsiang Low

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (CEST)

Individual Calibration with Randomized Forecasting

In Poster Session 22

Shengjia Zhao · Tengyu Ma · Stefano Ermon

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 05:00 AM -- 05:45 AM (CEST) @ Virtual

InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs

In Poster Session 22

Zinan Lin · Kiran Thekumparampil · Giulia Fanti · Sewoong Oh

[ Slides]

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (CEST)

Budgeted Online Influence Maximization

In Poster Session 22

Pierre Perrault · Jennifer Healey · Zheng Wen · Michal Valko

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 05:00 AM -- 05:45 AM (CEST)

Communication-Efficient Distributed PCA by Riemannian Optimization

In Poster Session 22

Long-Kai Huang · Jialin Pan

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (CEST)

Safe screening rules for L0-regression from Perspective Relaxations

In Poster Session 22

Alper Atamturk · Andres Gomez

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 06:00 AM -- 06:45 AM (CEST) @ Virtual

The Non-IID Data Quagmire of Decentralized Machine Learning

In Poster Session 22

Kevin Hsieh · Amar Phanishayee · Onur Mutlu · Phillip Gibbons

[ Slides]

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (CEST) @ Virtual

Frustratingly Simple Few-Shot Object Detection

In Poster Session 22

Xin Wang · Thomas Huang · Joseph E Gonzalez · Trevor Darrell · Fisher Yu

[ Slides]

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 06:00 AM -- 06:45 AM (CEST)

Exploration Through Reward Biasing: Reward-Biased Maximum Likelihood Estimation for Stochastic Multi-Armed Bandits

In Poster Session 22

Xi Liu · Ping-Chun Hsieh · Yu-Heng Hung · Anirban Bhattacharya · P. R. Kumar

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (CEST)

Online mirror descent and dual averaging: keeping pace in the dynamic case

In Poster Session 22

Huang Fang · Nick Harvey · Victor Sanches Portella · Michael Friedlander

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (CEST)

Robust Outlier Arm Identification

In Poster Session 22

Yinglun Zhu · Sumeet Katariya · Robert Nowak

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (CEST)

Imputer: Sequence Modelling via Imputation and Dynamic Programming

In Poster Session 22

William Chan · Chitwan Saharia · Geoffrey Hinton · Mohammad Norouzi · Navdeep Jaitly

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 06:00 AM -- 06:45 AM (CEST) @ Virtual

Optimizing Black-box Metrics with Adaptive Surrogates

In Poster Session 22

Qijia Jiang · Olaoluwa Adigun · Harikrishna Narasimhan · Mahdi Milani Fard · Maya Gupta

[ Slides]

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (CEST)

Negative Sampling in Semi-Supervised learning

In Poster Session 22

John Chen · Vatsal Shah · Anastasios Kyrillidis

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (CEST) @ Virtual

Sparse Shrunk Additive Models

In Poster Session 22

guodong liu · Hong Chen · Heng Huang

[ Slides]

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 05:00 AM -- 05:45 AM (CEST)

Proper Network Interpretability Helps Adversarial Robustness in Classification

In Poster Session 22

Akhilan Boopathy · Sijia Liu · Gaoyuan Zhang · Cynthia Liu · Pin-Yu Chen · Shiyu Chang · Luca Daniel

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (CEST)

Approximation Capabilities of Neural ODEs and Invertible Residual Networks

In Poster Session 22

Han Zhang · Xi Gao · Jacob Unterman · Tomasz Arodz

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (CEST) @ Virtual

Pretrained Generalized Autoregressive Model with Adaptive Probabilistic Label Clusters for Extreme Multi-label Text Classification

In Poster Session 22

Hui Ye · Zhiyu Chen · Da-Han Wang · Brian D Davison

[ Slides]

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 06:00 AM -- 06:45 AM (CEST)

Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search

In Poster Session 22

Yong Guo · Yaofo Chen · Yin Zheng · Peilin Zhao · Jian Chen · Junzhou Huang · Mingkui Tan

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (CEST)

Divide and Conquer: Leveraging Intermediate Feature Representations for Quantized Training of Neural Networks

In Poster Session 22

Ahmed T. Elthakeb · Prannoy Pilligundla · FatemehSadat Mireshghallah · Alexander Cloninger · Hadi Esmaeilzadeh

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 06:00 AM -- 06:45 AM (CEST)

Stochastic Gradient and Langevin Processes

In Poster Session 22

Xiang Cheng · Dong Yin · Peter Bartlett · Michael Jordan

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 05:00 AM -- 05:45 AM (CEST)

Approximating Stacked and Bidirectional Recurrent Architectures with the Delayed Recurrent Neural Network

In Poster Session 22

Javier Turek · Shailee Jain · Vy Vo · Mihai Capotă · Alexander Huth · Theodore Willke

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 06:00 AM -- 06:45 AM (CEST)

Circuit-Based Intrinsic Methods to Detect Overfitting

In Poster Session 22

Satrajit Chatterjee · Alan Mishchenko

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 06:00 AM -- 06:45 AM (CEST)

Strength from Weakness: Fast Learning Using Weak Supervision

In Poster Session 22

Joshua Robinson · Stefanie Jegelka · Suvrit Sra

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (CEST) @ Virtual

Sample Amplification: Increasing Dataset Size even when Learning is Impossible

In Poster Session 22

Brian Axelrod · Shivam Garg · Vatsal Sharan · Gregory Valiant

[ Slides]

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 05:00 AM -- 05:45 AM (CEST)

Adversarial Filters of Dataset Biases

In Poster Session 22

Ronan Le Bras · Swabha Swayamdipta · Chandra Bhagavatula · Rowan Zellers · Matthew Peters · Ashish Sabharwal · Yejin Choi

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (CEST) @ Virtual

Superpolynomial Lower Bounds for Learning One-Layer Neural Networks using Gradient Descent

In Poster Session 22

Surbhi Goel · Aravind Gollakota · Zhihan Jin · Sushrut Karmalkar · Adam Klivans

[ Slides]

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (CEST)

Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing

In Poster Session 22

Zhe Zeng · Paolo Morettin · Fanqi Yan · Antonio Vergari · Guy Van den Broeck

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 05:00 AM -- 05:45 AM (CEST) @ Virtual

On Coresets for Regularized Regression

In Poster Session 22

Rachit Chhaya · Supratim Shit · Anirban Dasgupta

[ Slides]

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (CEST)

Decoupled Greedy Learning of CNNs

In Poster Session 22

Eugene Belilovsky · Michael Eickenberg · Edouard Oyallon

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (CEST) @ Virtual

Efficient Policy Learning from Surrogate-Loss Classification Reductions

In Poster Session 22

Andrew Bennett · Nathan Kallus

[ Slides]

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 05:00 AM -- 05:45 AM (CEST)

Coresets for Clustering in Graphs of Bounded Treewidth

In Poster Session 22

Daniel Baker · Vladimir Braverman · Lingxiao Huang · Shaofeng H.-C. Jiang · Robert Krauthgamer · Xuan Wu

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (CEST)

Black-box Certification and Learning under Adversarial Perturbations

In Poster Session 22

Hassan Ashtiani · Vinayak Pathak · Ruth Urner

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (CEST)

Predicting deliberative outcomes

In Poster Session 22

Vikas K Garg · Tommi Jaakkola

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (CEST)

Representing Unordered Data Using Complex-Weighted Multiset Automata

In Poster Session 22

Justin DeBenedetto · David Chiang

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 05:00 AM -- 05:45 AM (CEST)

Self-Modulating Nonparametric Event-Tensor Factorization

In Poster Session 22

Zheng Wang · Xinqi Chu · Shandian Zhe

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (CEST) @ Virtual

Fine-Grained Analysis of Stability and Generalization for Stochastic Gradient Descent

In Poster Session 22

Yunwen Lei · Yiming Ying

[ Slides]

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 06:00 AM -- 06:45 AM (CEST)

Undirected Graphical Models as Approximate Posteriors

In Poster Session 22

Arash Vahdat · Evgeny Andriyash · William Macready

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (CEST)

Polynomial Tensor Sketch for Element-wise Function of Low-Rank Matrix

In Poster Session 22

Insu Han · Haim Avron · Jinwoo Shin

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 06:00 AM -- 06:45 AM (CEST)

Alleviating Privacy Attacks via Causal Learning

In Poster Session 22

Shruti Tople · Amit Sharma · Aditya Nori

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 05:00 AM -- 05:45 AM (CEST)

Understanding Self-Training for Gradual Domain Adaptation

In Poster Session 22

Ananya Kumar · Tengyu Ma · Percy Liang

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (CEST)

Adversarial Mutual Information for Text Generation

In Poster Session 22

Boyuan Pan · Yazheng Yang · Kaizhao Liang · Bhavya Kailkhura · Zhongming Jin · Xian-Sheng Hua · Deng Cai · Bo Li

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (CEST)

Learning to Score Behaviors for Guided Policy Optimization

In Poster Session 22

Aldo Pacchiano · Jack Parker-Holder · Yunhao Tang · Krzysztof Choromanski · Anna Choromanska · Michael Jordan

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 06:00 AM -- 06:45 AM (CEST) @ Virtual

Class-Weighted Classification: Trade-offs and Robust Approaches

In Poster Session 22

Ziyu Xu · Chen Dan · Justin Khim · Pradeep Ravikumar

[ Slides]

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (CEST) @ Virtual

Planning to Explore via Self-Supervised World Models

In Poster Session 22

Ramanan Sekar · Oleh Rybkin · Kostas Daniilidis · Pieter Abbeel · Danijar Hafner · Deepak Pathak

[ Slides]

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (CEST) @ Virtual

Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism

In Poster Session 22

Wang Chi Cheung · David Simchi-Levi · Ruihao Zhu

[ Slides]

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (CEST) @ Virtual

On conditional versus marginal bias in multi-armed bandits

In Poster Session 22

Jaehyeok Shin · Aaditya Ramdas · Alessandro Rinaldo

[ Slides]

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (CEST) @ Virtual

Learning and Evaluating Contextual Embedding of Source Code

In Poster Session 22

Aditya Kanade · Petros Maniatis · Gogul Balakrishnan · Kensen Shi

[ Slides]

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 05:00 AM -- 05:45 AM (CEST)

Spectral Graph Matching and Regularized Quadratic Relaxations: Algorithm and Theory

In Poster Session 22

Zhou Fan · Cheng Mao · Yihong Wu · Jiaming Xu

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (CEST)

Boosting Deep Neural Network Efficiency with Dual-Module Inference

In Poster Session 22

Liu Liu · Lei Deng · Zhaodong Chen · yuke wang · Shuangchen Li · Jingwei Zhang · Yihua Yang · Zhenyu Gu · Yufei Ding · Yuan Xie

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (CEST)

A general recurrent state space framework for modeling neural dynamics during decision-making

In Poster Session 22

David Zoltowski · Jonathan Pillow · Scott Linderman

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 06:00 AM -- 06:45 AM (CEST) @ Virtual

Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings

In Poster Session 22

Jesse Zhang · Brian Cheung · Chelsea Finn · Sergey Levine · Dinesh Jayaraman

[ Slides]

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (CEST) @ Virtual

Inductive Relation Prediction by Subgraph Reasoning

In Poster Session 22

Komal Teru · Etienne Denis · Will Hamilton

[ Slides]

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (CEST)

Identifying the Reward Function by Anchor Actions

In Poster Session 22

Sinong Geng · Houssam Nassif · Charlie Manzanares · Max Reppen · Ronnie Sircar

Poster

Wed Jul 15 05:00 PM -- 05:45 PM & Thu Jul 16 04:00 AM -- 04:45 AM (CEST)

Predictive Multiplicity in Classification

In Poster Session 22

Charles Marx · Flavio Calmon · Berk Ustun