Mikhail Konobeev

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 7

Top Topics

Sequential Monte Carlo

Sampling Strategy

Top Venues

Publications

Mikhail Konobeev, Jalal Etesami, Negar Kiyavash
Causal Bandits without Graph Learning. CoRR (2023)
Etienne Boursier, Mikhail Konobeev, Nicolas Flammarion
Trace norm regularization for multi-task learning with scarce data. COLT (2022)
Etienne Boursier, Mikhail Konobeev, Nicolas Flammarion
Trace norm regularization for multi-task learning with scarce data. CoRR (2022)
Branislav Kveton, Mikhail Konobeev, Manzil Zaheer, Chih-Wei Hsu, Martin Mladenov, Craig Boutilier, Csaba Szepesvári
Meta-Thompson Sampling. CoRR (2021)
Mikhail Konobeev, Ilja Kuzborskij, Csaba Szepesvári
A Distribution-dependent Analysis of Meta Learning. ICML (2021)
Branislav Kveton, Mikhail Konobeev, Manzil Zaheer, Chih-Wei Hsu, Martin Mladenov, Craig Boutilier, Csaba Szepesvári
Meta-Thompson Sampling. ICML (2021)
Mikhail Konobeev, Ilja Kuzborskij, Csaba Szepesvári
On Optimality of Meta-Learning in Fixed-Design Regression with Weighted Biased Regularization. CoRR (2020)