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cs.LG2025
Theoretical Performance Guarantees for Partial Domain Adaptation via Partial Optimal Transport
Jayadev Naram, Fredrik Hellström, Ziming Wang +2
In many scenarios of practical interest, labeled data from a target distribution are scarce while labeled data from a related source distribution are abundant. One particular setti…
cs.LG2020
Fast-Rate Loss Bounds via Conditional Information Measures with Applications to Neural Networks
Fredrik Hellström, Giuseppe Durisi
We present a framework to derive bounds on the test loss of randomized learning algorithms for the case of bounded loss functions. Drawing from Steinke & Zakynthinou (2020), this f…