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Poster
Thu Jul 16 12:00 AM -- 12:45 AM & Thu Jul 16 01:00 PM -- 01:45 PM (KST) @ Virtual
Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings
In Poster Session 33
Jesse Zhang · Brian Cheung · Chelsea Finn · Sergey Levine · Dinesh Jayaraman
Poster
Thu Jul 16 12:00 AM -- 12:45 AM & Thu Jul 16 01:00 PM -- 01:45 PM (KST)
Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search
In Poster Session 33
Yong Guo · Yaofo Chen · Yin Zheng · Peilin Zhao · Jian Chen · Junzhou Huang · Mingkui Tan
Poster
Thu Jul 16 12:00 AM -- 12:45 AM & Thu Jul 16 01:00 PM -- 01:45 PM (KST)
Randomly Projected Additive Gaussian Processes for Regression
In Poster Session 33
Ian Delbridge · David S Bindel · Andrew Wilson
Poster
Thu Jul 16 12:00 AM -- 12:45 AM & Thu Jul 16 01:00 PM -- 01:45 PM (KST)
Circuit-Based Intrinsic Methods to Detect Overfitting
In Poster Session 33
Satrajit Chatterjee · Alan Mishchenko
Poster
Thu Jul 16 12:00 AM -- 12:45 AM & Thu Jul 16 01:00 PM -- 01:45 PM (KST)
Undirected Graphical Models as Approximate Posteriors
In Poster Session 33
Arash Vahdat · Evgeny Andriyash · William Macready
Poster
Thu Jul 16 12:00 AM -- 12:45 AM & Thu Jul 16 01:00 PM -- 01:45 PM (KST)
Structured Linear Contextual Bandits: A Sharp and Geometric Smoothed Analysis
In Poster Session 33
Vidyashankar Sivakumar · Steven Wu · Arindam Banerjee
Poster
Thu Jul 16 12:00 AM -- 12:45 AM & Thu Jul 16 01:00 PM -- 01:45 PM (KST)
Structure Adaptive Algorithms for Stochastic Bandits
In Poster Session 33
Rémy Degenne · Han Shao · Wouter Koolen
Poster
Thu Jul 16 12:00 AM -- 12:45 AM & Thu Jul 16 01:00 PM -- 01:45 PM (KST)
Alleviating Privacy Attacks via Causal Learning
In Poster Session 33
Shruti Tople · Amit Sharma · Aditya Nori
Poster
Thu Jul 16 12:00 AM -- 12:45 AM & Thu Jul 16 01:00 PM -- 01:45 PM (KST)
Strength from Weakness: Fast Learning Using Weak Supervision
In Poster Session 33
Joshua Robinson · Stefanie Jegelka · Suvrit Sra
Poster
Thu Jul 16 12:00 AM -- 12:45 AM & Thu Jul 16 01:00 PM -- 01:45 PM (KST)
Exploration Through Reward Biasing: Reward-Biased Maximum Likelihood Estimation for Stochastic Multi-Armed Bandits
In Poster Session 33
Xi Liu · Ping-Chun Hsieh · Yu-Heng Hung · Anirban Bhattacharya · P. R. Kumar
Poster
Thu Jul 16 12:00 AM -- 12:45 AM & Thu Jul 16 01:00 PM -- 01:45 PM (KST)
Stochastic Gradient and Langevin Processes
In Poster Session 33
Xiang Cheng · Dong Yin · Peter Bartlett · Michael Jordan
Poster
Thu Jul 16 12:00 AM -- 12:45 AM & Thu Jul 16 01:00 PM -- 01:45 PM (KST) @ Virtual
Class-Weighted Classification: Trade-offs and Robust Approaches
In Poster Session 33
Ziyu Xu · Chen Dan · Justin Khim · Pradeep Ravikumar
Poster
Thu Jul 16 12:00 AM -- 12:45 AM & Thu Jul 16 01:00 PM -- 01:45 PM (KST) @ Virtual
The Non-IID Data Quagmire of Decentralized Machine Learning
In Poster Session 33
Kevin Hsieh · Amar Phanishayee · Onur Mutlu · Phillip Gibbons
Poster
Thu Jul 16 12:00 AM -- 12:45 AM & Thu Jul 16 01:00 PM -- 01:45 PM (KST) @ Virtual
Optimizing Black-box Metrics with Adaptive Surrogates
In Poster Session 33
Qijia Jiang · Olaoluwa Adigun · Harikrishna Narasimhan · Mahdi Milani Fard · Maya Gupta
Poster
Thu Jul 16 12:00 AM -- 12:45 AM & Thu Jul 16 01:00 PM -- 01:45 PM (KST)
(Locally) Differentially Private Combinatorial Semi-Bandits
In Poster Session 33
Xiaoyu Chen · Kai Zheng · Zixin Zhou · Yunchang Yang · Wei Chen · Liwei Wang
Poster
Thu Jul 16 01:00 AM -- 01:45 AM & Thu Jul 16 01:00 PM -- 01:45 PM (KST)
Adversarial Robustness Against the Union of Multiple Perturbation Models
In Poster Session 33
Pratyush Maini · Eric Wong · Zico Kolter
Poster
Thu Jul 16 01:00 AM -- 01:45 AM & Thu Jul 16 01:00 PM -- 01:45 PM (KST) @ Virtual
Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search
In Poster Session 33
Binghong Chen · Chengtao Li · Hanjun Dai · Le Song
Poster
Thu Jul 16 01:00 AM -- 01:45 AM & Thu Jul 16 01:00 PM -- 01:45 PM (KST)
Hallucinative Topological Memory for Zero-Shot Visual Planning
In Poster Session 33
Kara Liu · Thanard Kurutach · Christine Tung · Pieter Abbeel · Aviv Tamar
Poster
Thu Jul 16 01:00 AM -- 01:45 AM & Thu Jul 16 01:00 PM -- 01:45 PM (KST) @ Virtual
Low-Variance and Zero-Variance Baselines for Extensive-Form Games
In Poster Session 33
Trevor Davis · Martin Schmid · Michael Bowling
Poster
Thu Jul 16 02:00 AM -- 02:45 AM & Thu Jul 16 01:00 PM -- 01:45 PM (KST)
Correlation Clustering with Asymmetric Classification Errors
In Poster Session 33
Jafar Jafarov · Sanchit Kalhan · Konstantin Makarychev · Yury Makarychev
Poster
Thu Jul 16 02:00 AM -- 02:45 AM & Thu Jul 16 01:00 PM -- 01:45 PM (KST)
A Game Theoretic Framework for Model Based Reinforcement Learning
In Poster Session 33
Aravind Rajeswaran · Igor Mordatch · Vikash Kumar
Poster
Thu Jul 16 02:00 AM -- 02:45 AM & Thu Jul 16 01:00 PM -- 01:45 PM (KST)
Batch Stationary Distribution Estimation
In Poster Session 33
Junfeng Wen · Bo Dai · Lihong Li · Dale Schuurmans
Poster
Thu Jul 16 02:00 AM -- 02:45 AM & Thu Jul 16 01:00 PM -- 01:45 PM (KST) @ Virtual
Data Valuation using Reinforcement Learning
In Poster Session 33
Jinsung Yoon · Sercan Arik · Tomas Pfister
Poster
Thu Jul 16 02:00 AM -- 02:45 AM & Thu Jul 16 01:00 PM -- 01:45 PM (KST)
Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks
In Poster Session 33
Agustinus Kristiadi · Matthias Hein · Philipp Hennig
Poster
Thu Jul 16 02:00 AM -- 02:45 AM & Thu Jul 16 01:00 PM -- 01:45 PM (KST)
Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors
In Poster Session 33
Mike Dusenberry · Ghassen Jerfel · Yeming Wen · Yian Ma · Jasper Snoek · Katherine Heller · Balaji Lakshminarayanan · Dustin Tran
Poster
Thu Jul 16 02:00 AM -- 02:45 AM & Thu Jul 16 01:00 PM -- 01:45 PM (KST)
Single Point Transductive Prediction
In Poster Session 33
Nilesh Tripuraneni · Lester Mackey
Poster
Thu Jul 16 02:00 AM -- 02:45 AM & Thu Jul 16 01:00 PM -- 01:45 PM (KST)
Provable Representation Learning for Imitation Learning via Bi-level Optimization
In Poster Session 33
Sanjeev Arora · Simon Du · Sham Kakade · Yuping Luo · Nikunj Umesh Saunshi
Poster
Thu Jul 16 02:00 AM -- 02:45 AM & Thu Jul 16 01:00 PM -- 01:45 PM (KST)
Efficiently Solving MDPs with Stochastic Mirror Descent
In Poster Session 33
Yujia Jin · Aaron Sidford
Poster
Thu Jul 16 02:00 AM -- 02:45 AM & Thu Jul 16 01:00 PM -- 01:45 PM (KST)
Handling the Positive-Definite Constraint in the Bayesian Learning Rule
In Poster Session 33
Wu Lin · Mark Schmidt · Mohammad Emtiyaz Khan
Poster
Thu Jul 16 02:00 AM -- 02:45 AM & Thu Jul 16 01:00 PM -- 01:45 PM (KST)
Causal Effect Estimation and Optimal Dose Suggestions in Mobile Health
In Poster Session 33
Liangyu Zhu · Wenbin Lu · Rui Song
Poster
Thu Jul 16 02:00 AM -- 02:45 AM & Thu Jul 16 01:00 PM -- 01:45 PM (KST)
The Sample Complexity of Best-$k$ Items Selection from Pairwise Comparisons
In Poster Session 33
Wenbo Ren · Jia Liu · Ness Shroff
Poster
Thu Jul 16 02:00 AM -- 02:45 AM & Thu Jul 16 01:00 PM -- 01:45 PM (KST)
Learning Representations that Support Extrapolation
In Poster Session 33
Taylor Webb · Zachary Dulberg · Steven Frankland · Alexander Petrov · Randall O'Reilly · Jonathan Cohen
Poster
Thu Jul 16 02:00 AM -- 02:45 AM & Thu Jul 16 01:00 PM -- 01:45 PM (KST)
Small-GAN: Speeding up GAN Training using Core-Sets
In Poster Session 33
Samrath Sinha · Han Zhang · Anirudh Goyal · Yoshua Bengio · Hugo Larochelle · Augustus Odena
Poster
Thu Jul 16 02:00 AM -- 02:45 AM & Thu Jul 16 01:00 PM -- 01:45 PM (KST)
Learning Calibratable Policies using Programmatic Style-Consistency
In Poster Session 33
Eric Zhan · Albert Tseng · Yisong Yue · Adith Swaminathan · Matthew Hausknecht
Poster
Thu Jul 16 02:00 AM -- 02:45 AM & Thu Jul 16 01:00 PM -- 01:45 PM (KST) @ Virtual
Quantized Decentralized Stochastic Learning over Directed Graphs
In Poster Session 33
Hossein Taheri · Aryan Mokhtari · Hamed Hassani · Ramtin Pedarsani
Poster
Thu Jul 16 02:00 AM -- 02:45 AM & Thu Jul 16 01:00 PM -- 01:45 PM (KST)
Hierarchical Verification for Adversarial Robustness
In Poster Session 33
Cong Han Lim · Raquel Urtasun · Ersin Yumer