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Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 03:00 PM -- 03:45 PM (KST)
Federated Learning with Only Positive Labels
In Poster Session 4
Felix Xinnan Yu · Ankit Singh Rawat · Aditya Menon · Sanjiv Kumar
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 03:00 PM -- 03:45 PM (KST) @ Virtual
On Learning Sets of Symmetric Elements
In Poster Session 4
Haggai Maron · Or Litany · Gal Chechik · Ethan Fetaya
[ Slides] 
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 03:00 PM -- 03:45 PM (KST)
Selective Dyna-style Planning Under Limited Model Capacity
In Poster Session 4
Zaheer Abbas · Samuel Sokota · Erin Talvitie · Martha White
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 03:00 PM -- 03:45 PM (KST) @ Virtual
Sub-Goal Trees -- a Framework for Goal-Based Reinforcement Learning
In Poster Session 4
Tom Jurgenson · Or Avner · Edward Groshev · Aviv Tamar
[ Slides] 
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST) @ Virtual
Incremental Sampling Without Replacement for Sequence Models
In Poster Session 4
Kensen Shi · David Bieber · Charles Sutton
[ Slides] 
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 03:00 PM -- 03:45 PM (KST)
Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning
In Poster Session 4
Zhaohan Guo · Bernardo Avila Pires · Bilal Piot · Jean-Bastien Grill · Florent Altché · Remi Munos · Mohammad Gheshlaghi Azar
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 03:00 PM -- 03:45 PM (KST)
Automatic Shortcut Removal for Self-Supervised Representation Learning
In Poster Session 4
Matthias Minderer · Olivier Bachem · Neil Houlsby · Michael Tschannen
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 03:00 PM -- 03:45 PM (KST)
A simpler approach to accelerated optimization: iterative averaging meets optimism
In Poster Session 4
Pooria Joulani · Anant Raj · András György · Csaba Szepesvari
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 03:00 PM -- 03:45 PM (KST)
Error Estimation for Sketched SVD via the Bootstrap
In Poster Session 4
Miles Lopes · N. Benjamin Erichson · Michael Mahoney
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 03:00 PM -- 03:45 PM (KST)
Explainable k-Means and k-Medians Clustering
In Poster Session 4
Michal Moshkovitz · Sanjoy Dasgupta · Cyrus Rashtchian · Nave Frost
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
Logarithmic Regret for Adversarial Online Control
In Poster Session 4
Dylan Foster · Max Simchowitz
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
Generative Pretraining From Pixels
In Poster Session 4
Mark Chen · Alec Radford · Rewon Child · Jeffrey K Wu · Heewoo Jun · David Luan · Ilya Sutskever
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 02:00 PM -- 02:45 PM (KST)
SoftSort: A Continuous Relaxation for the argsort Operator
In Poster Session 4
Sebastian Prillo · Julian M Eisenschlos
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 03:00 PM -- 03:45 PM (KST)
Structured Prediction with Partial Labelling through the Infimum Loss
In Poster Session 4
Vivien Cabannnes · Alessandro Rudi · Francis Bach
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalisation
In Poster Session 4
Junjie Hu · Sebastian Ruder · Aditya Siddhant · Graham Neubig · Orhan Firat · Melvin Johnson
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
Optimal Robust Learning of Discrete Distributions from Batches
In Poster Session 4
Ayush Jain · Alon Orlitsky
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
When are Non-Parametric Methods Robust?
In Poster Session 4
Robi Bhattacharjee · Kamalika Chaudhuri
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 03:00 PM -- 03:45 PM (KST)
Harmonic Decompositions of Convolutional Networks
In Poster Session 4
Meyer Scetbon · Zaid Harchaoui
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 03:00 PM -- 03:45 PM (KST)
Differentiable Likelihoods for Fast Inversion of 'Likelihood-Free' Dynamical Systems
In Poster Session 4
Hans Kersting · Nicholas Krämer · Martin Schiegg · Christian Daniel · Michael Schober · Philipp Hennig
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 03:00 PM -- 03:45 PM (KST)
Fully Parallel Hyperparameter Search: Reshaped Space-Filling
In Poster Session 4
Marie-Liesse Cauwet · Camille Couprie · Julien Dehos · Pauline Luc · Jeremy Rapin · Morgane Riviere · Fabien Teytaud · Olivier Teytaud · Nicolas Usunier
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 02:00 PM -- 02:45 PM (KST)
Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning
In Poster Session 4
Amin Rakhsha · Goran Radanovic · Rati Devidze · Jerry Zhu · Adish Singla
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 02:00 PM -- 02:45 PM (KST)
Topological Autoencoders
In Poster Session 4
Michael Moor · Max Horn · Bastian Rieck · Karsten Borgwardt
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
SCAFFOLD: Stochastic Controlled Averaging for Federated Learning
In Poster Session 4
Sai Praneeth Reddy Karimireddy · Satyen Kale · Mehryar Mohri · Sashank Jakkam Reddi · Sebastian Stich · Ananda Theertha Suresh
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods
In Poster Session 4
Adam Stooke · Joshua Achiam · Pieter Abbeel
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis
In Poster Session 4
Shuang Qiu · Xiaohan Wei · Zhuoran Yang
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 03:00 PM -- 03:45 PM (KST)
Optimally Solving Two-Agent Decentralized POMDPs Under One-Sided Information Sharing
In Poster Session 4
Yuxuan Xie · Jilles Dibangoye · Olivier Buffet
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data
In Poster Session 4
Marc Finzi · Samuel Stanton · Pavel Izmailov · Andrew Wilson
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST) @ Virtual
Learning To Stop While Learning To Predict
In Poster Session 4
Xinshi Chen · Hanjun Dai · Yu Li · Xin Gao · Le Song
[ Slides] 
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST) @ Virtual
Revisiting Spatial Invariance with Low-Rank Local Connectivity
In Poster Session 4
Gamaleldin Elsayed · Prajit Ramachandran · Jon Shlens · Simon Kornblith
[ Slides] 
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
Global Concavity and Optimization in a Class of Dynamic Discrete Choice Models
In Poster Session 4
Yiding Feng · Ekaterina Khmelnitskaya · Denis Nekipelov
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
Train Big, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers
In Poster Session 4
Zhuohan Li · Eric Wallace · Sheng Shen · Kevin Lin · Kurt Keutzer · Dan Klein · Joseph Gonzalez
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
On the Theoretical Properties of the Network Jackknife
In Poster Session 4
Qiaohui Lin · Robert Lunde · Purnamrita Sarkar
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
Online Control of the False Coverage Rate and False Sign Rate
In Poster Session 4
Asaf Weinstein · Aaditya Ramdas
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 03:00 PM -- 03:45 PM (KST)
Deep Isometric Learning for Visual Recognition
In Poster Session 4
Haozhi Qi · Chong You · Xiaolong Wang · Yi Ma · Jitendra Malik
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
Training Deep Energy-Based Models with f-Divergence Minimization
In Poster Session 4
Lantao Yu · Yang Song · Jiaming Song · Stefano Ermon
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 02:00 PM -- 02:45 PM (KST)
Influence Diagram Bandits: Variational Thompson Sampling for Structured Bandit Problems
In Poster Session 4
Tong Yu · Branislav Kveton · Zheng Wen · Ruiyi Zhang · Ole J. Mengshoel
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 03:00 PM -- 03:45 PM (KST) @ Virtual
How recurrent networks implement contextual processing in sentiment analysis
In Poster Session 4
Niru Maheswaranathan · David Sussillo
[ Slides] 
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data
In Poster Session 4
Felipe Petroski Such · Aditya Rawal · Joel Lehman · Kenneth Stanley · Jeffrey Clune
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
A Sample Complexity Separation between Non-Convex and Convex Meta-Learning
In Poster Session 4
Nikunj Umesh Saunshi · Yi Zhang · Mikhail Khodak · Sanjeev Arora