On Optimality of Meta-Learning in Fixed-Design Regression with Weighted Biased Regularization. - Mikhail Konobeev; Ilja Kuzborskij; Csaba Szepesvári (CoRR, 2020)

A Distribution-dependent Analysis of Meta Learning. - Mikhail Konobeev; Ilja Kuzborskij; Csaba Szepesvári (ICML, 2021)

Meta-Thompson Sampling. - Branislav Kveton; Mikhail Konobeev; Manzil Zaheer; Chih-Wei Hsu; Martin Mladenov; Craig Boutilier; Csaba Szepesvári (ICML, 2021)

Trace norm regularization for multi-task learning with scarce data. - Etienne Boursier; Mikhail Konobeev; Nicolas Flammarion (COLT, 2022)

Causal Bandits without Graph Learning. - Mikhail Konobeev; Jalal Etesami; Negar Kiyavash (CLeaR, 2025)