7 citations · 12 across the 18 of their papers we have counts for
Showing 2023 · cs.LGShow all
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cs.LG2023
Conformalization of Sparse Generalized Linear Models
Etash Kumar Guha, Eugene Ndiaye, Xiaoming Huo
Given a sequence of observable variables , the conformal prediction method estimates a confidence set for given that is vali…
cs.LG2023
Generalization Bounds for Magnitude-Based Pruning via Sparse Matrix Sketching
Etash Kumar Guha, Prasanjit Dubey, Xiaoming Huo
In this paper, we derive a novel bound on the generalization error of Magnitude-Based pruning of overparameterized neural networks. Our work builds on the bounds in Arora et al. [2…
cs.LG2023
Solving Robust MDPs through No-Regret Dynamics
Etash Kumar Guha
Reinforcement Learning is a powerful framework for training agents to navigate different situations, but it is susceptible to changes in environmental dynamics. However, solving Ma…