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(27 events)   Time zone: Conference local time zone  
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Poster
Wed Jul 15 06:00 PM -- 06:45 PM & Thu Jul 16 07:00 AM -- 07:45 AM (CEST)
Mix-n-Match : Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning
In Poster Session 34
Jize Zhang · Bhavya Kailkhura · T. Yong-Jin Han
Poster
Wed Jul 15 06:00 PM -- 06:45 PM & Thu Jul 16 07:00 AM -- 07:45 AM (CEST)
Provable Self-Play Algorithms for Competitive Reinforcement Learning
In Poster Session 34
Yu Bai · Chi Jin
Poster
Wed Jul 15 06:00 PM -- 06:45 PM & Thu Jul 16 07:00 AM -- 07:45 AM (CEST)
A Mean Field Analysis Of Deep ResNet And Beyond: Towards Provably Optimization Via Overparameterization From Depth
In Poster Session 34
Yiping Lu · Chao Ma · Yulong Lu · Jianfeng Lu · Lexing Ying
Poster
Wed Jul 15 06:00 PM -- 06:45 PM & Thu Jul 16 07:00 AM -- 07:45 AM (CEST)
Flexible and Efficient Long-Range Planning Through Curious Exploration
In Poster Session 34
Aidan Curtis · Minjian Xin · Dilip Arumugam · Kevin Feigelis · Daniel Yamins
Poster
Wed Jul 15 06:00 PM -- 06:45 PM & Thu Jul 16 07:00 AM -- 07:45 AM (CEST) @ Virtual
Structural Language Models of Code
In Poster Session 34
Uri Alon · Roy Sadaka · Omer Levy · Eran Yahav
Poster
Wed Jul 15 06:00 PM -- 06:45 PM & Thu Jul 16 07:00 AM -- 07:45 AM (CEST)
Margin-aware Adversarial Domain Adaptation with Optimal Transport
In Poster Session 34
Sofien Dhouib · Ievgen Redko · Carole Lartizien
Poster
Wed Jul 15 06:00 PM -- 06:45 PM & Thu Jul 16 07:00 AM -- 07:45 AM (CEST)
Fast and Consistent Learning of Hidden Markov Models by Incorporating Non-Consecutive Correlations
In Poster Session 34
Robert Mattila · Cristian R. Rojas · Eric Moulines · Vikram Krishnamurthy · Bo Wahlberg
Poster
Wed Jul 15 06:00 PM -- 06:45 PM & Thu Jul 16 07:00 AM -- 07:45 AM (CEST)
Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning
In Poster Session 34
Esther Rolf · Max Simchowitz · Sarah Dean · Lydia T. Liu · Daniel Bjorkegren · Moritz Hardt · Joshua Blumenstock
Poster
Wed Jul 15 06:00 PM -- 06:45 PM & Thu Jul 16 07:00 AM -- 07:45 AM (CEST)
Set Functions for Time Series
In Poster Session 34
Max Horn · Michael Moor · Christian Bock · Bastian Rieck · Karsten Borgwardt
Poster
Wed Jul 15 06:00 PM -- 06:45 PM & Thu Jul 16 07:00 AM -- 07:45 AM (CEST)
Ordinal Non-negative Matrix Factorization for Recommendation
In Poster Session 34
Olivier Gouvert · Thomas Oberlin · Cedric Fevotte
Poster
Wed Jul 15 07:00 PM -- 07:45 PM & Thu Jul 16 07:00 AM -- 07:45 AM (CEST)
How to Solve Fair k-Center in Massive Data Models
In Poster Session 34
Ashish Chiplunkar · Sagar Kale · Sivaramakrishnan Natarajan Ramamoorthy
Poster
Wed Jul 15 07:00 PM -- 07:45 PM & Thu Jul 16 07:00 AM -- 07:45 AM (CEST) @ Virtual
NetGAN without GAN: From Random Walks to Low-Rank Approximations
In Poster Session 34
Luca Rendsburg · Holger Heidrich · Ulrike Luxburg
Poster
Wed Jul 15 07:00 PM -- 07:45 PM & Thu Jul 16 07:00 AM -- 07:45 AM (CEST) @ Virtual
Learning to Simulate and Design for Structural Engineering
In Poster Session 34
Kai-Hung Chang · Chin-Yi Cheng
Poster
Wed Jul 15 07:00 PM -- 07:45 PM & Thu Jul 16 07:00 AM -- 07:45 AM (CEST)
Continuous-time Lower Bounds for Gradient-based Algorithms
In Poster Session 34
Michael Muehlebach · Michael Jordan
Poster
Wed Jul 15 08:00 PM -- 08:45 PM & Thu Jul 16 07:00 AM -- 07:45 AM (CEST) @ Virtual
Revisiting Fundamentals of Experience Replay
In Poster Session 34
William Fedus · Prajit Ramachandran · Rishabh Agarwal · Yoshua Bengio · Hugo Larochelle · Mark Rowland · Will Dabney
Poster
Wed Jul 15 08:00 PM -- 08:45 PM & Thu Jul 16 07:00 AM -- 07:45 AM (CEST)
The Implicit and Explicit Regularization Effects of Dropout
In Poster Session 34
Colin Wei · Sham Kakade · Tengyu Ma
Poster
Wed Jul 15 08:00 PM -- 08:45 PM & Thu Jul 16 07:00 AM -- 07:45 AM (CEST)
The Shapley Taylor Interaction Index
In Poster Session 34
Mukund Sundararajan · Kedar Dhamdhere · Ashish Agarwal
Poster
Wed Jul 15 08:00 PM -- 08:45 PM & Thu Jul 16 07:00 AM -- 07:45 AM (CEST)
Proving the Lottery Ticket Hypothesis: Pruning is All You Need
In Poster Session 34
Eran Malach · Gilad Yehudai · Shai Shalev-Schwartz · Ohad Shamir
Poster
Wed Jul 15 08:00 PM -- 08:45 PM & Thu Jul 16 07:00 AM -- 07:45 AM (CEST)
Robust Graph Representation Learning via Neural Sparsification
In Poster Session 34
Cheng Zheng · Bo Zong · Wei Cheng · Dongjin Song · Jingchao Ni · Wenchao Yu · Haifeng Chen · Wei Wang
Poster
Wed Jul 15 08:00 PM -- 08:45 PM & Thu Jul 16 07:00 AM -- 07:45 AM (CEST)
“Other-Play” for Zero-Shot Coordination
In Poster Session 34
Hengyuan Hu · Alexander Peysakhovich · Adam Lerer · Jakob Foerster
Poster
Wed Jul 15 08:00 PM -- 08:45 PM & Thu Jul 16 07:00 AM -- 07:45 AM (CEST)
Statistically Preconditioned Accelerated Gradient Method for Distributed Optimization
In Poster Session 34
Hadrien Hendrikx · Lin Xiao · Sebastien Bubeck · Francis Bach · Laurent Massoulié
Poster
Wed Jul 15 08:00 PM -- 08:45 PM & Thu Jul 16 07:00 AM -- 07:45 AM (CEST)
Learning Near Optimal Policies with Low Inherent Bellman Error
In Poster Session 34
Andrea Zanette · Alessandro Lazaric · Mykel Kochenderfer · Emma Brunskill
Poster
Wed Jul 15 08:00 PM -- 08:45 PM & Thu Jul 16 07:00 AM -- 07:45 AM (CEST) @ Virtual
On the Number of Linear Regions of Convolutional Neural Networks
In Poster Session 34
Huan Xiong · Lei Huang · Mengyang Yu · Li Liu · Fan Zhu · Ling Shao
Poster
Wed Jul 15 08:00 PM -- 08:45 PM & Thu Jul 16 07:00 AM -- 07:45 AM (CEST)
Multidimensional Shape Constraints
In Poster Session 34
Maya Gupta · Erez Louidor · Oleksandr Mangylov · Nobu Morioka · Taman Narayan · Sen Zhao
Poster
Wed Jul 15 08:00 PM -- 08:45 PM & Thu Jul 16 07:00 AM -- 07:45 AM (CEST)
Encoding Musical Style with Transformer Autoencoders
In Poster Session 34
Kristy Choi · Curtis Hawthorne · Ian Simon · Monica Dinculescu · Jesse Engel
Poster
Wed Jul 15 08:00 PM -- 08:45 PM & Thu Jul 16 07:00 AM -- 07:45 AM (CEST)
A Finite-Time Analysis of Q-Learning with Neural Network Function Approximation
In Poster Session 34
Pan Xu · Quanquan Gu
Poster
Wed Jul 15 08:00 PM -- 08:45 PM & Thu Jul 16 07:00 AM -- 07:45 AM (CEST)
Deep Gaussian Markov Random Fields
In Poster Session 34
Per Sidén · Fredrik Lindsten