5 papers
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…
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…
Nonnegative Low-Rank Tensor Completion via Dual Formulation with Applications to Image and Video Completion
Tanmay Kumar Sinha, Jayadev Naram, Pawan Kumar
Recent approaches to the tensor completion problem have often overlooked the nonnegative structure of the data. We consider the problem of learning a nonnegative low-rank tensor, a…
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…
On Riemannian Approach for Constrained Optimization Model in Extreme Classification Problems
Jayadev Naram, Tanmay Kumar Sinha, Pawan Kumar
We propose a novel Riemannian method for solving the Extreme multi-label classification problem that exploits the geometric structure of the sparse low-dimensional local embedding…