ICML

Multi-label Learning with Missing Values using Combined Facial Action Unit Datasets

Jaspar Pahl, Ines Rieger, Dominik Seuss

Comments Presented at the first Workshop on the Art of Learning with Missing Values (Artemiss) hosted by the 37th International Conference on Machine Learning (ICML) 2020

The Neural Tangent Kernel in High Dimensions: Triple Descent and a Multi-Scale Theory of Generalization

Ben Adlam, Jeffrey Pennington

Comments Published as a conference paper in the Proceedings of the 37th International Conference on Machine Learning; 31 pages; 4 figures

Reducing Sampling Error in Batch Temporal Difference Learning

Brahma Pavse, Ishan Durugkar, Josiah Hanna, Peter Stone

Comments Accepted to International Conference on Machine Learning (ICML) 2020

Obtaining Adjustable Regularization for Free via Iterate Averaging

Jingfeng Wu, Vladimir Braverman, Lin F. Yang

Comments ICML 2020 camera ready

Reliable Uncertainties for Bayesian Neural Networks using Alpha-divergences

Hector J. Hortua, Luigi Malago, Riccardo Volpi

Comments Accepted at the ICML 2020: Workshop on Uncertainty and Robustness in Deep Learning

Accountable Off-Policy Evaluation With Kernel Bellman Statistics

Yihao Feng, Tongzheng Ren, Ziyang Tang, Qiang Liu

Comments 22 pages, 4 figures, ICML 2020

Orthogonalized SGD and Nested Architectures for Anytime Neural Networks

Chengcheng Wan, Henry Hoffmann, Shan Lu, Michael Maire

Comments ICML 2020

Multi-Agent Routing Value Iteration Network

Quinlan Sykora, Mengye Ren, Raquel Urtasun

Comments Published at ICML 2020

Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction

Filipe de Avila Belbute-Peres, Thomas D. Economon, J. Zico Kolter

Comments ICML 2020

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

Hui Ye, Zhiyu Chen, Da-Han Wang, Brian D. Davison

Comments Accepted by ICML 2020

Go Wide, Then Narrow: Efficient Training of Deep Thin Networks

Denny Zhou, Mao Ye, Chen Chen, Tianjian Meng, Mingxing Tan, Xiaodan Song, Quoc Le, Qiang Liu, Dale Schuurmans

Comments ICML 2020

Deep Isometric Learning for Visual Recognition

Haozhi Qi, Chong You, Xiaolong Wang, Yi Ma, Jitendra Malik

Comments ICML 2020; Code: https://github.com/HaozhiQi/ISONet; Website: https://haozhiqi.github.io/ISONet

Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification

Hongyuan Mei, Guanghui Qin, Minjie Xu, Jason Eisner

Comments ICML 2020 camera-ready (new Appendix A.3, rewritten Appendix F)

Global Convergence of Sobolev Training for Overparameterized Neural Networks

Jorio Cocola, Paul Hand

Comments Accepted for presentation at the 6th International Conference on Machine Learning, Optimization and Data science - LOD 2020

Interpolation between Residual and Non-Residual Networks

Zonghan Yang, Yang Liu, Chenglong Bao, Zuoqiang Shi

Comments Accepted at ICML 2020. Code available at https://github.com/minicheshire/InResNet

Spectral Frank-Wolfe Algorithm: Strict Complementarity and Linear Convergence

Lijun Ding, Yingjie Fei, Qiantong Xu, Chengrun Yang

Comments The main text has nine pages. Reading the first three sections should give a good understanding of the paper and should take around 15 minutes. Published in proceedings of the 37th International Conference on Machine Learning, online, PMLR 119, 2020

Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors

Michael W. Dusenberry, Ghassen Jerfel, Yeming Wen, Yi-An Ma, Jasper Snoek, Katherine Heller, Balaji Lakshminarayanan, Dustin Tran

Comments Published in the International Conference on Machine Learning (ICML) 2020. Code available at https://github.com/google/edward2

Deep Reinforcement Learning with Robust and Smooth Policy

Qianli Shen, Yan Li, Haoming Jiang, Zhaoran Wang, Tuo Zhao

Comments ICML 2020

DROCC: Deep Robust One-Class Classification

Sachin Goyal, Aditi Raghunathan, Moksh Jain, Harsha Vardhan Simhadri, Prateek Jain

Comments 16 pages, 9 figures, Published at International Conference on Machine Learning (ICML) 2020

Efficiently Sampling Functions from Gaussian Process Posteriors

James T. Wilson, Viacheslav Borovitskiy, Alexander Terenin, Peter Mostowsky, Marc Peter Deisenroth

Journal ref International Conference on Machine Learning, 2020

Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis

Jung Yeon Park, Kenneth Theo Carr, Stephan Zheng, Yisong Yue, Rose Yu

Comments ICML 2020

Quantum Boosting

Srinivasan Arunachalam, Reevu Maity

Comments 37 pages; v2: minor edits to improve presentation

Journal ref Proceedings of ICML 2020

More Data Can Expand the Generalization Gap Between Adversarially Robust and Standard Models

Lin Chen, Yifei Min, Mingrui Zhang, Amin Karbasi

Comments Accepted to ICML'20. First two authors contributed equally

Adversarial Robustness for Code

Pavol Bielik, Martin Vechev

Comments Proceedings of the 37th International Conference on Machine Learning, Online, PMLR 119, 2020

Revisiting Spatial Invariance with Low-Rank Local Connectivity

Gamaleldin F. Elsayed, Prajit Ramachandran, Jonathon Shlens, Simon Kornblith

Journal ref International Conference on Machine Learning, 2020

No-Regret Exploration in Goal-Oriented Reinforcement Learning

Jean Tarbouriech, Evrard Garcelon, Michal Valko, Matteo Pirotta, Alessandro Lazaric

Journal ref International Conference on Machine Learning (ICML 2020)

Optimizer Benchmarking Needs to Account for Hyperparameter Tuning

Prabhu Teja Sivaprasad, Florian Mai, Thijs Vogels, Martin Jaggi, François Fleuret

Comments published at International Conference on Machine Learning (ICML 2020)

Adaptive Gradient Descent without Descent

Yura Malitsky, Konstantin Mishchenko

Journal ref Proceedings of the 37-th International Conference on Machine Learning, Online, PMLR 119, 2020

Peer Loss Functions: Learning from Noisy Labels without Knowing Noise Rates

Yang Liu, Hongyi Guo

Comments ICML 2020. Corrected typos in the Appendix

Journal ref International Conference on Machine Learning, 2020

The Differentiable Cross-Entropy Method

Brandon Amos, Denis Yarats

Comments ICML 2020