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The 2020 schedule is still incomplete
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Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Boosting for Control of Dynamical Systems
Naman Agarwal · Nataly Brukhim · Elad Hazan · Zhou Lu
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
PoWER-BERT: Accelerating BERT Inference via Progressive Word-vector Elimination
Saurabh Goyal · Anamitra Roy Choudhury · Saurabh Raje · Venkatesan Chakaravarthy · Yogish Sabharwal · Ashish Verma
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT) @ Virtual
Angular Visual Hardness
Beidi Chen · Weiyang Liu · Zhiding Yu · Jan Kautz · Anshumali Shrivastava · Animesh Garg · Anima Anandkumar
[ Slides
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT) @ Virtual
Estimating the Number and Effect Sizes of Non-null Hypotheses
Jennifer Brennan · Ramya Korlakai Vinayak · Kevin Jamieson
[ Slides
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
On the Unreasonable Effectiveness of the Greedy Algorithm: Greedy Adapts to Sharpness
Sebastian Pokutta · Mohit Singh · Alfredo Torrico
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT) @ Virtual
Uncertainty-Aware Lookahead Factor Models for Quantitative Investing
Lakshay Chauhan · John Alberg · Zachary Lipton
[ Slides
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr
Xingjian Li · Haoyi Xiong · Haozhe An · Cheng-Zhong Xu · Dejing Dou
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
The Tree Ensemble Layer: Differentiability meets Conditional Computation
Hussein Hazimeh · Natalia Ponomareva · Petros Mol · Zhenyu Tan · Rahul Mazumder
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Differentially Private Set Union
Sivakanth Gopi · Pankaj Gulhane · Janardhan Kulkarni · Judy Hanwen Shen · Milad Shokouhi · Sergey Yekhanin
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Finite-Time Convergence in Continuous-Time Optimization
Orlando Romero · mouhacine Benosman
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Meta-learning for Mixed Linear Regression
Weihao Kong · Raghav Somani · Zhao Song · Sham Kakade · Sewoong Oh
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Distributed Online Optimization over a Heterogeneous Network
Nima Eshraghi · Ben Liang
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Informative Dropout for Robust Representation Learning: A Shape-bias Perspective
Baifeng Shi · Dinghuai Zhang · Qi Dai · Zhanxing Zhu · Yadong Mu · Jingdong Wang
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
NADS: Neural Architecture Distribution Search for Uncertainty Awareness
Randy Ardywibowo · Shahin Boluki · Xinyu Gong · Zhangyang Wang · Xiaoning Qian
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Representations for Stable Off-Policy Reinforcement Learning
Dibya Ghosh · Marc Bellemare
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Learning Adversarial Markov Decision Processes with Bandit Feedback and Unknown Transition
Chi Jin · Tiancheng Jin · Haipeng Luo · Suvrit Sra · Tiancheng Yu
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Is Local SGD Better than Minibatch SGD?
Blake Woodworth · Kumar Kshitij Patel · Sebastian Stich · Zhen Dai · Brian Bullins · Brendan McMahan · Ohad Shamir · Nati Srebro
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT) @ Virtual
An end-to-end approach for the verification problem: learning the right distance
Joao Monteiro · Isabela Albuquerque · Jahangir Alam · R Devon Hjelm · Tiago Falk
[ Slides
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch
Esteban Real · Chen Liang · David So · Quoc Le
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Nonparametric Score Estimators
Yuhao Zhou · Jiaxin Shi · Jun Zhu
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources
Yun Yun Tsai · Pin-Yu Chen · Tsung-Yi Ho
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Parametric Gaussian Process Regressors
Martin Jankowiak · Geoff Pleiss · Jacob Gardner
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT) @ Virtual
GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values
Shangtong Zhang · Bo Liu · Shimon Whiteson
[ Slides
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
DROCC: Deep Robust One-Class Classification
Sachin Goyal · Aditi Raghunathan · Moksh Jain · Harsha Vardhan Simhadri · Prateek Jain
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Near-optimal sample complexity bounds for learning Latent $k-$polytopes and applications to Ad-Mixtures
Chiranjib Bhattacharyya · Ravindran Kannan
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Parameterized Rate-Distortion Stochastic Encoder
Quan Hoang · Trung Le · Dinh Phung
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Batch Reinforcement Learning with Hyperparameter Gradients
Byung-Jun Lee · Jongmin Lee · Peter Vrancx · Dongho Kim · Kee-Eung Kim
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT) @ Virtual
Learning Fair Policies in Multi-Objective (Deep) Reinforcement Learning with Average and Discounted Rewards
Umer Siddique · Paul Weng · Matthieu Zimmer
[ Slides
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT) @ Virtual
Guided Learning of Nonconvex Models through Successive Functional Gradient Optimization
Rie Johnson · Tong Zhang
[ Slides
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT) @ Virtual
FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis
Aman Sinha · Matthew O'Kelly · Hongrui Zheng · Rahul Mangharam · John Duchi · Russ Tedrake
[ Slides
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT) @ Virtual
Discount Factor as a Regularizer in Reinforcement Learning
Ron Amit · Ron Meir · Kamil Ciosek
[ Slides
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Feature Noise Induces Loss Discrepancy Across Groups
Fereshte Khani · Percy Liang
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Strategyproof Mean Estimation from Multiple-Choice Questions
Anson Kahng · Gregory Kehne · Ariel Procaccia
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Scalable Identification of Partially Observed Systems with Certainty-Equivalent EM
Kunal Menda · Jean de Becdelievre · Jayesh K. Gupta · Ilan Kroo · Mykel Kochenderfer · Zachary Manchester
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Invariant Risk Minimization Games
Kartik Ahuja · Karthikeyan Shanmugam · Kush Varshney · Amit Dhurandhar
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Overfitting in adversarially robust deep learning
Leslie Rice · Eric Wong · Zico Kolter
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Detecting Out-of-Distribution Examples with Gram Matrices
Chandramouli Shama Sastry · Sageev Oore
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
An EM Approach to Non-autoregressive Conditional Sequence Generation
Zhiqing Sun · Yiming Yang
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Neural Clustering Processes
Ari Pakman · Yueqi Wang · Catalin Mitelut · JinHyung Lee · Department of Statistics Liam Paninski
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Working Memory Graphs
Ricky Loynd · Roland Fernandez · Asli Celikyilmaz · Adith Swaminathan · Matthew Hausknecht
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT) @ Virtual
Oracle Efficient Private Non-Convex Optimization
Seth Neel · Aaron Roth · Giuseppe Vietri · Steven Wu
[ Slides
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT) @ Virtual
Closing the convergence gap of SGD without replacement
Shashank Rajput · Anant Gupta · Dimitris Papailiopoulos
[ Slides
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Generative Adversarial Imitation Learning with Neural Network Parameterization: Global Optimality and Convergence Rate
Yufeng Zhang · Qi Cai · Zhuoran Yang · Zhaoran Wang
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT) @ Virtual
Stronger and Faster Wasserstein Adversarial Attacks
Kaiwen Wu · Allen Wang · Yaoliang Yu
[ Slides
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Associative Memory in Iterated Overparameterized Sigmoid Autoencoders
Yibo Jiang · Cengiz Pehlevan
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Efficient Identification in Linear Structural Causal Models with Auxiliary Cutsets
Daniel Kumor · Carlos Cinelli · Elias Bareinboim
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT) @ Virtual
Adversarial Neural Pruning with Latent Vulnerability Suppression
Divyam Madaan · Jinwoo Shin · Sung Ju Hwang
[ Slides
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (PDT)
Online Pricing with Offline Data: Phase Transition and Inverse Square Law
Jinzhi Bu · David Simchi-Levi · Yunzong Xu