Reese Pathak

According to our database1, Reese Pathak authored at least 7 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Transformers can optimally learn regression mixture models.
CoRR, 2023

Noisy recovery from random linear observations: Sharp minimax rates under elliptical constraints.
CoRR, 2023

2022
Optimally tackling covariate shift in RKHS-based nonparametric regression.
CoRR, 2022

A new similarity measure for covariate shift with applications to nonparametric regression.
Proceedings of the International Conference on Machine Learning, 2022

2021
Weighted Matrix Completion From Non-Random, Non-Uniform Sampling Patterns.
IEEE Trans. Inf. Theory, 2021

Cluster-and-Conquer: A Framework For Time-Series Forecasting.
CoRR, 2021

2020
FedSplit: an algorithmic framework for fast federated optimization.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020


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