1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.LG2026
Entropy Regularization: A Free Correction to Cross-Entropy for Verified Demonstrations
Mihir Dhanakshirur, Adam Ousherovitch, Ambuj Tewari
Large language models are often post-trained on expert demonstrations using cross-entropy (CE), even when the downstream objective is not to imitate the demonstrated solution but t…
stat.ML2026
Tight Convergence Rates for Online Distributed Linear Estimation with Adversarial Measurements
Nibedita Roy, Vishal Halder, Gugan Thoppe +4
We study mean estimation of a random vector in a distributed parameter-server-worker setup. Worker observes samples of , where is the th row of a…
stat.ML2023★ 1 cited
A continuous Structural Intervention Distance to compare Causal Graphs
Mihir Dhanakshirur, Felix Laumann, Junhyung Park +1
Understanding and adequately assessing the difference between a true and a learnt causal graphs is crucial for causal inference under interventions. As an extension to the graph-ba…