Reese Pathak

According to our database, Reese Pathak authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Data-Adaptive Tradeoffs among Multiple Risks in Distribution-Free Prediction.

Drew T. Nguyen, Reese Pathak, Anastasios N. Angelopoulos, Stephen Bates, Michael I. Jordan

CoRR, 2024

Transformers can optimally learn regression mixture models.

Reese Pathak, Rajat Sen, Weihao Kong, Abhimanyu Das

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Noisy recovery from random linear observations: Sharp minimax rates under elliptical constraints.

Reese Pathak, Martin J. Wainwright, Lin Xiao

CoRR, 2023

2022

Optimally tackling covariate shift in RKHS-based nonparametric regression.

Cong Ma, Reese Pathak, Martin J. Wainwright

CoRR, 2022

A new similarity measure for covariate shift with applications to nonparametric regression.

Reese Pathak, Cong Ma, Martin J. Wainwright

Proceedings of the International Conference on Machine Learning, 2022

2021

Weighted Matrix Completion From Non-Random, Non-Uniform Sampling Patterns.

Simon Foucart, Deanna Needell, Reese Pathak, Yaniv Plan, Mary Wootters

IEEE Trans. Inf. Theory, 2021

Cluster-and-Conquer: A Framework For Time-Series Forecasting.

Reese Pathak, Rajat Sen, Nikhil Rao, N. Benjamin Erichson, Michael I. Jordan, Inderjit S. Dhillon

CoRR, 2021

2020

FedSplit: an algorithmic framework for fast federated optimization.

Reese Pathak, Martin J. Wainwright

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020