AB
Alina Beygelzimer
cs.LGstat.MLcs.AIcs.DLArtifactsArtificial IntelligenceComputer Communication Networkscs.DBModels, StatisticalPeer Review
On Valency
published · living versionsW_6u2h4duj·v1 · currentpublished
Contextual Bandit Algorithms with Supervised Learning Guarantees
with John Langford, Lihong Li, Lev Reyzin, Robert E. Schapire
1 version
Preprints & journals
22 papers in the corpus · 2005–2023How do authors' perceptions of their papers compare with co-authors' perceptions and peer-review decisions?38598482 · Rastogi, Charvi, Stelmakh, Ivan, Beygelzimer, Alina et al.2024 · 6 citationsPloS one. 2024;19(4):e0300710
Has the Machine Learning Review Process Become More Arbitrary as the Field Has Grown? The NeurIPS 2021 Consistency Experiment2306.03262v1 · Alina Beygelzimer, Yann N. Dauphin, Percy Liang et al.2023 · 2 citationsarXiv
Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)2003.12206v4 · Joelle Pineau, Philippe Vincent-Lamarre, Koustuv Sinha et al.2020 · 230 citationsarXiv
Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case1902.02244v2 · Alina Beygelzimer, D'avid P'al, Bal'azs Szor'enyi et al.2019 · 9 citationsarXiv
Contextual Memory Trees1807.06473v3 · Wen Sun, Alina Beygelzimer, Hal Daum'e III et al.2018 · 3 citationsarXiv
A Reductions Approach to Fair Classification1803.02453v3 · Alekh Agarwal, Alina Beygelzimer, Miroslav Dud'ik et al.2018 · 364 citationsarXiv
Efficient Online Bandit Multiclass Learning with Regret1702.07958v3 · Alina Beygelzimer, Francesco Orabona, Chicheng Zhang2017 · 1 citationarXiv
Search Improves Label for Active Learning1602.07265v2 · Alina Beygelzimer, Daniel Hsu, John Langford et al.2016 · 14 citationsarXiv
Online Gradient Boosting1506.04820v2 · Alina Beygelzimer, Elad Hazan, Satyen Kale et al.2015 · 51 citationsarXiv
Optimal and Adaptive Algorithms for Online Boosting1502.02651v1 · Alina Beygelzimer, Satyen Kale, Haipeng Luo2015 · 35 citationsarXivon Valency
Learning Reductions that Really Work1502.02704v1 · Alina Beygelzimer, Hal Daum'e III, John Langford et al.2015 · 19 citationsarXiv
Scalable Nonlinear Learning with Adaptive Polynomial Expansions1410.0440v1 · Alekh Agarwal, Alina Beygelzimer, Daniel Hsu et al.2014 · 4 citationsarXiv
Conditional Probability Tree Estimation Analysis and Algorithms1408.2031v1 · Alina Beygelzimer, John Langford, Yuri Lifshits et al.2014 · 54 citationsarXiv
Efficient Test Selection in Active Diagnosis via Entropy Approximation1207.1418v1 · Alice X. Zheng, Irina Rish, Alina Beygelzimer2012 · 12 citationsarXiv
Learning Performance of Prediction Markets with Kelly Bettors1201.6655v1 · Alina Beygelzimer, John Langford, David Pennock2012 · 16 citationsarXiv
Agnostic Active Learning Without Constraints1006.2588v1 · Alina Beygelzimer, Daniel Hsu, John Langford et al.2010 · 131 citationsarXiv
Contextual Bandit Algorithms with Supervised Learning Guarantees1002.4058v3 · Alina Beygelzimer, John Langford, Lihong Li et al.2010 · 188 citationsarXivon Valency
Conditional Probability Tree Estimation Analysis and Algorithms0903.4217v2 · Alina Beygelzimer, John Langford, Yuri Lifshits et al.2009 · 10 citationsarXiv
Error-Correcting Tournaments0902.3176v4 · Alina Beygelzimer, John Langford, Pradeep Ravikumar2009 · 10 citationsarXiv
Importance Weighted Active Learning0812.4952v4 · Alina Beygelzimer, Sanjoy Dasgupta, John Langford2008 · 279 citationsarXiv
The Offset Tree for Learning with Partial Labels0812.4044v3 · Alina Beygelzimer, John Langford2008 · 141 citationsarXiv
Adaptive diagnosis in distributed systems.16252819 · Rish, Irina, Brodie, Mark, Ma, Sheng et al.2005 · 182 citationsIEEE transactions on neural networks. 2005;16(5):1088-109
Career total: 85 works. 22 are in this corpus.
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