2 citations · 3 across the 6 of their papers we have counts for
3 papers · 1 filter
Finite-Time Convergence of Single-Trajectory Chi-Square Robust Q-Learning With Linear Function Approximation
Saptarshi Mandal, Yashaswini Murthy, R. Srikant
Distributionally robust reinforcement learning seeks policies that remain effective when the deployment environment differs from the one that generated the training data. We study…
A Theoretical Analysis of Soft-Label vs Hard-Label Training in Neural Networks
Saptarshi Mandal, Xiaojun Lin, R. Srikant
Knowledge distillation, where a small student model learns from a pre-trained large teacher model, has achieved substantial empirical success since the seminal work of \citep{hinto…
Spectral Clustering for Crowdsourcing with Inherently Distinct Task Types
Saptarshi Mandal, Seo Taek Kong, Dimitrios Katselis +1
The Dawid-Skene model is the most widely assumed model in the analysis of crowdsourcing algorithms that estimate ground-truth labels from noisy worker responses. In this work, we a…