Semi-Parametric Uncertainty Bounds for Binary Classification. - Balázs Csanád Csáji; Ambrus Tamás (CDC, 2019)

Exact Distribution-Free Hypothesis Tests for the Regression Function of Binary Classification via Conditional Kernel Mean Embeddings. - Ambrus Tamás; Balázs Csanád Csáji (IEEE Control. Syst. Lett., 2022)

Recursive Estimation of Conditional Kernel Mean Embeddings. - Ambrus Tamás; Balázs Csanád Csáji (CoRR, 2023)

Distribution-Free Inference for the Regression Function of Binary Classification. - Ambrus Tamás; Balázs Csanád Csáji (CoRR, 2023)

On rate-optimal classification from non-private and from private data. - Balázs Csanád Csáji; László Györfi; Ambrus Tamás (CoRR, 2023)

Robust Independence Tests With Finite Sample Guarantees for Synchronous Stochastic Linear Systems. - Ambrus Tamás; Dániel Ágoston Bálint; Balázs Csanád Csáji (IEEE Control. Syst. Lett., 2023)

Data-Driven Confidence Intervals with Optimal Rates for the Mean of Heavy-Tailed Distributions. - Ambrus Tamás; Szabolcs Szentpéteri; Balázs Csanád Csáji (AISTATS, 2024)

Data-Driven Upper Confidence Bounds with Near-Optimal Regret for Heavy-Tailed Bandits. - Ambrus Tamás; Szabolcs Szentpéteri; Balázs Csanád Csáji (AISTATS, 2025)