Tosh, Christopher

9 publications

NeurIPS 2021 Bayesian Decision-Making Under Misspecified Priors with Applications to Meta-Learning Max Simchowitz, Christopher Tosh, Akshay Krishnamurthy, Daniel J. Hsu, Thodoris Lykouris, Miro Dudik, Robert E. Schapire

JMLR 2021 Contrastive Estimation Reveals Topic Posterior Information to Linear Models Christopher Tosh, Akshay Krishnamurthy, Daniel Hsu

ALT 2021 Contrastive Learning, Multi-View Redundancy, and Linear Models Christopher Tosh, Akshay Krishnamurthy, Daniel Hsu

AISTATS 2020 Diameter-Based Interactive Structure Discovery Christopher Tosh, Daniel Hsu

COLT 2019 The Relative Complexity of Maximum Likelihood Estimation, MAP Estimation, and Sampling Christopher Tosh, Sanjoy Dasgupta

NeurIPS 2018 Interactive Structure Learning with Structural Query-by-Committee Christopher Tosh, Sanjoy Dasgupta

ICML 2017 Diameter-Based Active Learning Christopher Tosh, Sanjoy Dasgupta

ICML 2016 Mixing Rates for the Alternating Gibbs Sampler over Restricted Boltzmann Machines and Friends Christopher Tosh

ICML 2014 Lower Bounds for the Gibbs Sampler over Mixtures of Gaussians Christopher Tosh, Sanjoy Dasgupta