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07/09/2023
From Estimation to Sampling for Bayesian Linear Regression with Spike-and-Slab Prior
We consider Bayesian linear regression with sparsity-inducing prior and ...
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09/15/2022
On the Dissipation of Ideal Hamiltonian Monte Carlo Sampler
We report on what seems to be an intriguing connection between variable ...
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06/08/2020
Learning the Truth From Only One Side of the Story
Learning under one-sided feedback (i.e., where examples arrive in an onl...
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03/18/2020
Acceleration with a Ball Optimization Oracle
Consider an oracle which takes a point x and returns the minimizer of a ...
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02/20/2020
Optimizing Black-box Metrics with Adaptive Surrogates
We address the problem of training models with black-box and hard-to-opt...
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06/25/2019
Complexity of Highly Parallel Non-Smooth Convex Optimization
A landmark result of non-smooth convex optimization is that gradient des...
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10/25/2018