119 citations · 244 across the 26 of their papers we have counts for
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cs.LG2019★ 1 cited
Dying Experts: Efficient Algorithms with Optimal Regret Bounds
Hamid Shayestehmanesh, Sajjad Azami, Nishant A. Mehta
We study a variant of decision-theoretic online learning in which the set of experts that are available to Learner can shrink over time. This is a restricted version of the well-st…
math.ST2019★ 18 cited
Safe-Bayesian Generalized Linear Regression
Rianne de Heide, Alisa Kirichenko, Nishant Mehta +1
We study generalized Bayesian inference under misspecification, i.e. when the model is 'wrong but useful'. Generalized Bayes equips the likelihood with a learning rate . We show…