Christopher Tosh

Mauricio Tec

Wesley Tansey

CoRR, 2022

Simple and near-optimal algorithms for hidden stratification and multi-group learning.

[BibT_eX]

[DOI]

Christopher J. Tosh

Proceedings of the International Conference on Machine Learning, 2022

2021

Contrastive Estimation Reveals Topic Posterior Information to Linear Models.

[BibT_eX]

[DOI]

Akshay Krishnamurthy

J. Mach. Learn. Res., 2021

Bayesian decision-making under misspecified priors with applications to meta-learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Contrastive learning, multi-view redundancy, and linear models.

[BibT_eX]

[DOI]

Akshay Krishnamurthy

Proceedings of the Algorithmic Learning Theory, 2021

2020

Expressivity of expand-and-sparsify representations.

[BibT_eX]

[DOI]

CoRR, 2020

Diameter-based Interactive Structure Discovery.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Interactive Topic Modeling with Anchor Words.

[BibT_eX]

[DOI]

Stefanos Poulis

CoRR, 2019

Bayesian Tensor Filtering: Smooth, Locally-Adaptive Factorization of Functional Matrices.

[BibT_eX]

[DOI]

Wesley Tansey

David M. Blei

CoRR, 2019

Diameter-based Interactive Structure Search.

[BibT_eX]

[DOI]

CoRR, 2019

The Relative Complexity of Maximum Likelihood Estimation, MAP Estimation, and Sampling.

[BibT_eX]

[DOI]

Proceedings of the Conference on Learning Theory, 2019

2018

Algorithms for Statistical and Interactive Learning Tasks.

[BibT_eX]

[DOI]

PhD thesis, 2018

Structural query-by-committee.

[BibT_eX]

[DOI]

CoRR, 2018

Interactive Structure Learning with Structural Query-by-Committee.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Maximum Likelihood Estimation for Mixtures of Spherical Gaussians is NP-hard.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2017

Diameter-Based Active Learning.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Mixing Rates for the Alternating Gibbs Sampler over Restricted Boltzmann Machines and Friends.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

2014

Lower Bounds for the Gibbs Sampler over Mixtures of Gaussians.

[BibT_eX]

[DOI]