Christopher Tosh

26 papers A* 6A 1B 1Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Optimal rates for density and mode estimation with expand-and-sparsify representations. CoRR Kaushik Sinha, Christopher Tosh
2025	—	`conf`	Addressing the Cold-Start Problem for Personalized Combination Drug Screening. MLCB Antoine de Mathelin, Christopher Tosh, Wesley Tansey
2025	J	`jnl`	Addressing the Cold-Start Problem for Personalized Combination Drug Screening. CoRR Antoine de Mathelin, Christopher Tosh, Wesley Tansey
2025	J	`jnl`	Treatment response as a latent variable. CoRR Christopher Tosh, Boyuan Zhang, Wesley Tansey
2022	J	`jnl`	Targeted active learning for probabilistic models. CoRR Christopher Tosh, Mauricio Tec, Wesley Tansey
2021	A*	`conf`	Bayesian decision-making under misspecified priors with applications to meta-learning. NeurIPS Max Simchowitz, Christopher Tosh, Akshay Krishnamurthy, Daniel J. Hsu, Thodoris Lykouris, Miroslav Dudík, Robert E. Schapire
2021	J	`jnl`	Bayesian decision-making under misspecified priors with applications to meta-learning. CoRR Max Simchowitz, Christopher Tosh, Akshay Krishnamurthy, Daniel Hsu, Thodoris Lykouris, Miroslav Dudík, Robert E. Schapire
2021	J	`jnl`	Contrastive Estimation Reveals Topic Posterior Information to Linear Models. J. Mach. Learn. Res. Christopher Tosh, Akshay Krishnamurthy, Daniel Hsu
2021	B	`conf`	Contrastive learning, multi-view redundancy, and linear models. ALT Christopher Tosh, Akshay Krishnamurthy, Daniel Hsu
2021	J	`jnl`	Simple and near-optimal algorithms for hidden stratification and multi-group learning. CoRR Christopher Tosh, Daniel Hsu
2020	J	`jnl`	Contrastive estimation reveals topic posterior information to linear models. CoRR Christopher Tosh, Akshay Krishnamurthy, Daniel Hsu
2020	J	`jnl`	Contrastive learning, multi-view redundancy, and linear models. CoRR Christopher Tosh, Akshay Krishnamurthy, Daniel Hsu
2020	A	`conf`	Diameter-based Interactive Structure Discovery. AISTATS Christopher Tosh, Daniel Hsu
2020	J	`jnl`	Expressivity of expand-and-sparsify representations. CoRR Sanjoy Dasgupta, Christopher Tosh
2019	J	`jnl`	Bayesian Tensor Filtering: Smooth, Locally-Adaptive Factorization of Functional Matrices. CoRR Wesley Tansey, Christopher Tosh, David M. Blei
2019	J	`jnl`	Diameter-based Interactive Structure Search. CoRR Christopher Tosh, Daniel Hsu
2019	J	`jnl`	Interactive Topic Modeling with Anchor Words. CoRR Sanjoy Dasgupta, Stefanos Poulis, Christopher Tosh
2019	A*	`conf`	The Relative Complexity of Maximum Likelihood Estimation, MAP Estimation, and Sampling. COLT Christopher Tosh, Sanjoy Dasgupta
2018	—	`—`	Algorithms for Statistical and Interactive Learning Tasks. Christopher Tosh
2018	A*	`conf`	Interactive Structure Learning with Structural Query-by-Committee. NeurIPS Christopher Tosh, Sanjoy Dasgupta
2018	J	`jnl`	Structural query-by-committee. CoRR Christopher Tosh, Sanjoy Dasgupta
2017	A*	`conf`	Diameter-Based Active Learning. ICML Christopher Tosh, Sanjoy Dasgupta
2017	J	`jnl`	Diameter-Based Active Learning. CoRR Christopher Tosh, Sanjoy Dasgupta
2017	J	`jnl`	Maximum Likelihood Estimation for Mixtures of Spherical Gaussians is NP-hard. J. Mach. Learn. Res. Christopher Tosh, Sanjoy Dasgupta
2016	A*	`conf`	Mixing Rates for the Alternating Gibbs Sampler over Restricted Boltzmann Machines and Friends. ICML Christopher Tosh
2014	A*	`conf`	Lower Bounds for the Gibbs Sampler over Mixtures of Gaussians. ICML Christopher Tosh, Sanjoy Dasgupta