Alexander Rakhlin

9 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0003-1359-8534

Publications

• Refined Risk Bounds for Unbounded Losses via Transductive Priors — Journal of Machine Learning Research 2026 (name-matched, not ORCID-linked)
• Intrinsic Dimension Estimation Using Wasserstein Distance — Journal of Machine Learning Research 2022 (name-matched, not ORCID-linked)
• Finite Time LTI System Identification — Journal of Machine Learning Research 2021 (name-matched, not ORCID-linked)
• Weighted Message Passing and Minimum Energy Flow for Heterogeneous Stochastic Block Models with Side Information — Journal of Machine Learning Research 2020 (name-matched, not ORCID-linked)
• Just interpolate: Kernel “Ridgeless” regression can generalize — The Annals of Statistics 2020 (name-matched, not ORCID-linked)
• Computational and statistical boundaries for submatrix localization in a large noisy matrix — The Annals of Statistics 2017 (name-matched, not ORCID-linked)
• Geometric inference for general high-dimensional linear inverse problems — The Annals of Statistics 2016
• Online Learning via Sequential Complexities — Journal of Machine Learning Research 2015 (name-matched, not ORCID-linked)
• Stability Properties of Empirical Risk Minimization over Donsker Classes — Journal of Machine Learning Research 2006 (name-matched, not ORCID-linked)