Lower Bounds for the Gibbs Sampler over Mixtures of Gaussians. - Christopher Tosh; Sanjoy Dasgupta (ICML, 2014)

Mixing Rates for the Alternating Gibbs Sampler over Restricted Boltzmann Machines and Friends. - Christopher Tosh (ICML, 2016)

Diameter-Based Active Learning. - Christopher Tosh; Sanjoy Dasgupta (ICML, 2017)

Maximum Likelihood Estimation for Mixtures of Spherical Gaussians is NP-hard. - Christopher Tosh; Sanjoy Dasgupta (J. Mach. Learn. Res., 2017)

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

Structural query-by-committee. - Christopher Tosh; Sanjoy Dasgupta (CoRR, 2018)

Algorithms for Statistical and Interactive Learning Tasks. - Christopher Tosh (2018)

The Relative Complexity of Maximum Likelihood Estimation, MAP Estimation, and Sampling. - Christopher Tosh; Sanjoy Dasgupta (COLT, 2019)

Diameter-based Interactive Structure Search. - Christopher Tosh; Daniel Hsu 001 (CoRR, 2019)

Bayesian Tensor Filtering: Smooth, Locally-Adaptive Factorization of Functional Matrices. - Wesley Tansey; Christopher Tosh; David M. Blei (CoRR, 2019)

Interactive Topic Modeling with Anchor Words. - Sanjoy Dasgupta; Stefanos Poulis; Christopher Tosh (CoRR, 2019)

Diameter-based Interactive Structure Discovery. - Christopher Tosh; Daniel Hsu 001 (AISTATS, 2020)

Expressivity of expand-and-sparsify representations. - Sanjoy Dasgupta; Christopher Tosh (CoRR, 2020)

Contrastive learning, multi-view redundancy, and linear models. - Christopher Tosh; Akshay Krishnamurthy; Daniel Hsu 001 (ALT, 2021)

Bayesian decision-making under misspecified priors with applications to meta-learning. - Max Simchowitz; Christopher Tosh; Akshay Krishnamurthy; Daniel J. Hsu; Thodoris Lykouris; Miroslav Dudík; Robert E. Schapire (NeurIPS, 2021)

Contrastive Estimation Reveals Topic Posterior Information to Linear Models. - Christopher Tosh; Akshay Krishnamurthy; Daniel Hsu 001 (J. Mach. Learn. Res., 2021)

Simple and near-optimal algorithms for hidden stratification and multi-group learning. - Christopher J. Tosh; Daniel Hsu 001 (ICML, 2022)

Targeted active learning for probabilistic models. - Christopher Tosh; Mauricio Tec; Wesley Tansey (CoRR, 2022)

Treatment response as a latent variable. - Christopher Tosh; Boyuan Zhang; Wesley Tansey (CoRR, 2025)