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cs.LG2026
Conformal Sequential Decision Making With Cost and Sublinear Policy Regret Guarantees
Jayadev Naram, Giuseppe Durisi, Matteo Zecchin +1
Automated decision makers, such as AI agents that control robots or network devices, must often satisfy hard cost constraints while maintaining competitive performance. In such set…
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.LG2023
Structured Low-Rank Tensor Learning
Jayadev Naram, Tanmay Kumar Sinha, Pawan Kumar
We consider the problem of learning low-rank tensors from partial observations with structural constraints, and propose a novel factorization of such tensors, which leads to a simp…