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Papers
Self-Normalized Martingales and Uniform Regret Bounds for Linear Regression
COLT 2026
Vector-valued self-normalized concentration inequalities beyond sub-Gaussianity
ALT 2026
Sparsity-Based Interpolation of External, Internal and Swap Regret
COLT 2025
Time-Uniform Self-Normalized Concentration for Vector-Valued Processes (Extended Abstract)
COLT 2025
Online Linear Regression in Dynamic Environments via Discounting
ICML 2024
Oracle Efficient Algorithms for Groupwise Regret
ICLR 2024
Learning Rate Schedules in the Presence of Distribution Shift
ICML 2023
The Gain from Ordering in Online Learning
NeurIPS 2023
Optimal Dynamic Regret in LQR Control
NeurIPS 2022
Stochastic Online Linear Regression: the Forward Algorithm to Replace Ridge
NeurIPS 2021
Uniform regret bounds over R^d for the sequential linear regression problem with the square loss
ALT 2019
Horizon-Independent Minimax Linear Regression
NeurIPS 2018
Sparsity Regret Bounds for Individual Sequences in Online Linear Regression
JMLR 2013
Sparsity Regret Bounds for Individual Sequences in Online Linear Regression
COLT 2011
Online Linear Regression and Its Application to Model-Based Reinforcement Learning
NeurIPS 2007