9 citations · 13 across the 7 of their papers we have counts for
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stat.ML2023★ 3 cited
Robust Independence Tests with Finite Sample Guarantees for Synchronous Stochastic Linear Systems
Ambrus Tamás, Dániel Ágoston Bálint, Balázs Csanád Csáji
The paper introduces robust independence tests with non-asymptotically guaranteed significance levels for stochastic linear time-invariant systems, assuming that the observed outpu…
stat.ML2023★ 1 cited
Resampled Confidence Regions with Exponential Shrinkage for the Regression Function of Binary Classification
Ambrus Tamás, Balázs Csanád Csáji
The regression function is one of the key objects of binary classification, since it not only determines a Bayes optimal classifier, hence, defines an optimal decision boundary, bu…
stat.ML2023
Recursive Estimation of Conditional Kernel Mean Embeddings
Ambrus Tamás, Balázs Csanád Csáji
Kernel mean embeddings, a widely used technique in machine learning, map probability distributions to elements of a reproducing kernel Hilbert space (RKHS). For supervised learning…