Christopher Tosh

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 20

Top Venues

CoRR

ICML

J. Mach. Learn. Res.

NeurIPS

University of California, San Diego, USA (PHD)

Education History

University of California, San Diego, USA

PHD

Publications

Christopher Tosh, Mauricio Tec, Wesley Tansey
Targeted active learning for probabilistic models. CoRR (2022)
Max Simchowitz, Christopher Tosh, Akshay Krishnamurthy, Daniel J. Hsu, Thodoris Lykouris, Miroslav Dudík, Robert E. Schapire
Bayesian decision-making under misspecified priors with applications to meta-learning. NeurIPS (2021)
Christopher Tosh, Akshay Krishnamurthy, Daniel Hsu
Contrastive Estimation Reveals Topic Posterior Information to Linear Models. J. Mach. Learn. Res. 22 (2021)
Christopher Tosh, Akshay Krishnamurthy, Daniel Hsu
Contrastive learning, multi-view redundancy, and linear models. ALT (2021)
Max Simchowitz, Christopher Tosh, Akshay Krishnamurthy, Daniel Hsu, Thodoris Lykouris, Miroslav Dudík, Robert E. Schapire
Bayesian decision-making under misspecified priors with applications to meta-learning. CoRR (2021)
Christopher Tosh, Daniel Hsu
Simple and near-optimal algorithms for hidden stratification and multi-group learning. CoRR (2021)
Christopher Tosh, Akshay Krishnamurthy, Daniel Hsu
Contrastive learning, multi-view redundancy, and linear models. CoRR (2020)
Sanjoy Dasgupta, Christopher Tosh
Expressivity of expand-and-sparsify representations. CoRR (2020)
Christopher Tosh, Daniel Hsu
Diameter-based Interactive Structure Discovery. AISTATS (2020)
Christopher Tosh, Akshay Krishnamurthy, Daniel Hsu
Contrastive estimation reveals topic posterior information to linear models. CoRR (2020)
Christopher Tosh, Daniel Hsu
Diameter-based Interactive Structure Search. CoRR (2019)
Wesley Tansey, Christopher Tosh, David M. Blei
Bayesian Tensor Filtering: Smooth, Locally-Adaptive Factorization of Functional Matrices. CoRR (2019)
Christopher Tosh, Sanjoy Dasgupta
The Relative Complexity of Maximum Likelihood Estimation, MAP Estimation, and Sampling. COLT (2019)
Sanjoy Dasgupta, Stefanos Poulis, Christopher Tosh
Interactive Topic Modeling with Anchor Words. CoRR (2019)
Christopher Tosh, Sanjoy Dasgupta
Structural query-by-committee. CoRR (2018)
Christopher Tosh, Sanjoy Dasgupta
Interactive Structure Learning with Structural Query-by-Committee. NeurIPS (2018)
Christopher Tosh, Sanjoy Dasgupta
Diameter-Based Active Learning. CoRR (2017)
Christopher Tosh, Sanjoy Dasgupta
Maximum Likelihood Estimation for Mixtures of Spherical Gaussians is NP-hard. J. Mach. Learn. Res. 18 (2017)
Christopher Tosh, Sanjoy Dasgupta
Diameter-Based Active Learning. ICML (2017)
Christopher Tosh
Mixing Rates for the Alternating Gibbs Sampler over Restricted Boltzmann Machines and Friends. ICML (2016)
Christopher Tosh, Sanjoy Dasgupta
Lower Bounds for the Gibbs Sampler over Mixtures of Gaussians. ICML (2014)

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Publication Activity (10 Years)

Top Topics

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Christopher Tosh