ICML

Unsupervised Transfer Learning for Spatiotemporal Predictive Networks

Zhiyu Yao, Yunbo Wang, Mingsheng Long, Jianmin Wang

Comments ICML 2020

Understanding Fairness of Gender Classification Algorithms Across Gender-Race Groups

Anoop Krishnan, Ali Almadan, Ajita Rattani

Comments 19th IEEE International Conference On Machine Learning And Applications 2020 | Miami, Florida

BWCFace: Open-set Face Recognition using Body-worn Camera

Ali Almadan, Anoop Krishnan, Ajita Rattani

Journal ref 19th IEEE International Conference On Machine Learning And Applications 2020 | Miami, Florida

Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data

Marc Finzi, Samuel Stanton, Pavel Izmailov, Andrew Gordon Wilson

Comments ICML 2020. Code available at https://github.com/mfinzi/LieConv

FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning

Swanand Kadhe, Nived Rajaraman, O. Ozan Koyluoglu, Kannan Ramchandran

Comments Shorter version accepted in ICML Workshop on Federated Learning, July 2020, and CCS Workshop on Privacy-Preserving Machine Learning in Practice, November 2020

Implicit Regularization of Random Feature Models

Arthur Jacot, Berfin Şimşek, Francesco Spadaro, Clément Hongler, Franck Gabriel

Journal ref Proceedings of the International Conference on Machine Learning, 2020, pp. 7397-7406

Optimizing for the Future in Non-Stationary MDPs

Yash Chandak, Georgios Theocharous, Shiv Shankar, Martha White, Sridhar Mahadevan, Philip S. Thomas

Comments Thirty-seventh International Conference on Machine Learning (ICML 2020)

Individual Fairness for $k$-Clustering

Sepideh Mahabadi, Ali Vakilian

Comments ICML 2020

Option Discovery in Hierarchical Reinforcement Learning using Spatio-Temporal Clustering

Aravind Srinivas, Ramnandan Krishnamurthy, Peeyush Kumar, Balaraman Ravindran

Comments Revised version of ICML 16 Abstraction in Reinforcement Learning workshop paper

Robust Outlier Arm Identification

Yinglun Zhu, Sumeet Katariya, Robert Nowak

Comments Full version of our ICML 2020 paper

Kernel Ridge Regression Using Importance Sampling with Application to Seismic Response Prediction

Farhad Pourkamali-Anaraki, Mohammad Amin Hariri-Ardebili, Lydia Morawiec

Comments Accepted for publication in IEEE International Conference on Machine Learning and Applications (ICMLA)

Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

Tabish Rashid, Mikayel Samvelyan, Christian Schroeder de Witt, Gregory Farquhar, Jakob Foerster, Shimon Whiteson

Comments Extended version of the ICML 2018 conference paper (arXiv:1803.11485)

Journal ref Journal of Machine Learning Research 21(178):1-51, 2020

Source Separation with Deep Generative Priors

Vivek Jayaram, John Thickstun

Comments 20 pages; ICML camera-ready version

Doubly robust off-policy evaluation with shrinkage

Yi Su, Maria Dimakopoulou, Akshay Krishnamurthy, Miroslav Dudík

Journal ref International Conference on Machine Learning (2020)

Tails of Lipschitz Triangular Flows

Priyank Jaini, Ivan Kobyzev, Yaoliang Yu, Marcus Brubaker

Comments Published at the 37th International Conference of Machine Learning, (ICML 2020)

Learning Quadratic Games on Networks

Yan Leng, Xiaowen Dong, Junfeng Wu, Alex Pentland

Journal ref Proceedings of the 37th International Conference on Machine Learning (ICML) 2020

Gradient Temporal-Difference Learning with Regularized Corrections

Sina Ghiassian, Andrew Patterson, Shivam Garg, Dhawal Gupta, Adam White, Martha White

Comments Appeared in Proceedings of the 37th International Conference on Machine Learning (ICML2020)

An Unsupervised Machine Learning Approach to Assess the ZIP Code Level Impact of COVID-19 in NYC

Fadoua Khmaissia, Pegah Sagheb Haghighi, Aarthe Jayaprakash, Zhenwei Wu, Sokratis Papadopoulos, Yuan Lai, Freddy T. Nguyen

Comments Presented at ICML 2020 Workshop on the Healthcare Systems, Population Health, and the Role of Health-Tech

Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders

Ioana Bica, Ahmed M. Alaa, Mihaela van der Schaar

Journal ref In Proc. 37th International Conference on Machine Learning (ICML 2020)

Tunable Subnetwork Splitting for Model-parallelism of Neural Network Training

Junxiang Wang, Zheng Chai, Yue Cheng, Liang Zhao

Comments ICML 2020 Workshop on "Beyond first-order methods in ML systems"

Convex Calibrated Surrogates for the Multi-Label F-Measure

Mingyuan Zhang, Harish G. Ramaswamy, Shivani Agarwal

Comments Accepted to ICML 2020

Quasi-Autoregressive Residual (QuAR) Flows

Achintya Gopal

Comments Appeared in ICML Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models 2020

Set Functions for Time Series

Max Horn, Michael Moor, Christian Bock, Bastian Rieck, Karsten Borgwardt

Comments Accepted at the International Conference on Machine Learning (ICML) 2020

Linear Lower Bounds and Conditioning of Differentiable Games

Adam Ibrahim, Waïss Azizian, Gauthier Gidel, Ioannis Mitliagkas

Comments ICML 2020 final version

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

Scalable Differential Privacy with Certified Robustness in Adversarial Learning

NhatHai Phan, My T. Thai, Han Hu, Ruoming Jin, Tong Sun, Dejing Dou

Comments To appear at ICML'2020 (29 pages)

Input Hessian Regularization of Neural Networks

Waleed Mustafa, Robert A. Vandermeulen, Marius Kloft

Comments Workshop on "Beyond first-order methods in ML systems" at the 37th International Conference on Machine Learning, Vienna, Austria, 2020

Pow-Wow: A Dataset and Study on Collaborative Communication in Pommerman

Takuma Yoneda, Matthew R. Walter, Jason Naradowsky

Comments Accepted at LaReL workshop at ICML 2020

Learning to Simulate Complex Physics with Graph Networks

Alvaro Sanchez-Gonzalez, Jonathan Godwin, Tobias Pfaff, Rex Ying, Jure Leskovec, Peter W. Battaglia

Comments Accepted at ICML 2020

Stein Point Markov Chain Monte Carlo

Wilson Ye Chen, Alessandro Barp, François-Xavier Briol, Jackson Gorham, Mark Girolami, Lester Mackey, Chris. J. Oates

Comments Minor bug fixed in Theorem 4 (result unchanged)

Journal ref ICML 2019

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Mingxing Tan, Quoc V. Le

Comments ICML 2019

Journal ref International Conference on Machine Learning, 2019