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Coresets for Data Discretization and Sine Wave Fitting


Mar 06, 2022
Alaa Maalouf, Murad Tukan, Eric Price, Daniel Kane, Dan Feldman

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Computational-Statistical Gaps in Reinforcement Learning


Feb 11, 2022
Daniel Kane, Sihan Liu, Shachar Lovett, Gaurav Mahajan

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Realizable Learning is All You Need


Nov 08, 2021
Max Hopkins, Daniel Kane, Shachar Lovett, Gaurav Mahajan

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Boosting in the Presence of Massart Noise


Jun 14, 2021
Ilias Diakonikolas, Russell Impagliazzo, Daniel Kane, Rex Lei, Jessica Sorrell, Christos Tzamos

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Bounded Memory Active Learning through Enriched Queries


Feb 09, 2021
Max Hopkins, Daniel Kane, Shachar Lovett, Michal Moshkovitz

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Robustly Learning any Clusterable Mixture of Gaussians


May 13, 2020
Ilias Diakonikolas, Samuel B. Hopkins, Daniel Kane, Sushrut Karmalkar

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Noise-tolerant, Reliable Active Classification with Comparison Queries


Jan 15, 2020
Max Hopkins, Daniel Kane, Shachar Lovett, Gaurav Mahajan

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Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering


Nov 19, 2019
Ilias Diakonikolas, Sushrut Karmalkar, Daniel Kane, Eric Price, Alistair Stewart

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The Optimal Approximation Factor in Density Estimation


Feb 10, 2019
Olivier Bousquet, Daniel Kane, Shay Moran

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* 19 pages (including bibliography), 3 figures 

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Robust Learning of Fixed-Structure Bayesian Networks


Oct 29, 2018
Yu Cheng, Ilias Diakonikolas, Daniel Kane, Alistair Stewart

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