Learning from weakly dependent data under Dobrushin's condition

21 June 2019

Papers citing "Learning from weakly dependent data under Dobrushin's condition"

8 / 8 papers shown

Title
Learning with little mixing Ingvar M. Ziemann Stephen Tu 37 27 0 16 Jun 2022
Benign Overfitting in Time Series Linear Models with Over-Parameterization Shogo H. Nakakita Masaaki Imaizumi AI4TS 36 5 0 18 Apr 2022
Dimension-Free Rates for Natural Policy Gradient in Multi-Agent Reinforcement Learning Carlo Alfano Patrick Rebeschini 50 5 0 23 Sep 2021
On Empirical Risk Minimization with Dependent and Heavy-Tailed Data Abhishek Roy Krishnakumar Balasubramanian Murat A. Erdogdu 44 18 0 06 Sep 2021
Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation Rasool Fakoor Jonas W. Mueller Nick Erickson Pratik Chaudhari Alex Smola 28 54 0 25 Jun 2020
Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms Guy Bresler Prateek Jain Dheeraj M. Nagaraj Praneeth Netrapalli Xian Wu 36 61 0 16 Jun 2020
Learning Ising models from one or multiple samples Y. Dagan C. Daskalakis Nishanth Dikkala Anthimos Vardis Kandiros 11 10 0 20 Apr 2020
Testing Ising Models C. Daskalakis Nishanth Dikkala Gautam Kamath 29 101 0 09 Dec 2016