Aadirupa Saha 个人学术档案

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	总计	2019 年至今
引用	571	541
h 指数	14	14
i10 指数	16	16

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Aditya GopalanIndian Institute of Science, Bangalore在 iisc.ac.in 的电子邮件经过验证
Pierre GaillardINRIA在 gaillard.me 的电子邮件经过验证
Yishay MansourTel Aviv University在 tauex.tau.ac.il 的电子邮件经过验证
Tomer KorenAssociate Professor at Tel Aviv University在 tauex.tau.ac.il 的电子邮件经过验证
Aldo PacchianoBroad Institute of MIT and Harvard在 broadinstitute.org 的电子邮件经过验证
Thomas Kleine BueningThe Alan Turing Institute在 turing.ac.uk 的电子邮件经过验证
Kumar Kshitij PatelPhd Student, TTIC在 ttic.edu 的电子邮件经过验证
Haifeng XuUniversity of Chicago在 uchicago.edu 的电子邮件经过验证
Christos DimitrakakisProfessor, University of Neuchatel在 alumni.epfl.ch 的电子邮件经过验证
Akshay KrishnamurthyUniversity of Massachusetts Amherst在 cs.umass.edu 的电子邮件经过验证
Suprovat GhoshalPostdoc at Northwestern University and TTI Chicago在 northwestern.edu 的电子邮件经过验证
Avrim BlumProfessor and Chief Academic Officer, Toyota Technological Institute at Chicago在 ttic.edu 的电子邮件经过验证
Nathan SrebroProfessor, TTIC and University of Chicago在 ttic.edu 的电子邮件经过验证
Lingxiao WangToyota Technological Institute at Chicago在 ttic.edu 的电子邮件经过验证
Michal ValkoLlama @ Meta Paris & Inria & MVA - Ex: Gemini and BYOL @ Google DeepMind在 meta.com 的电子邮件经过验证
Eyke HüllermeierProfessor of Computer Science, Paderborn University在 upb.de 的电子邮件经过验证
Viktor BengsLMU Munich在 lmu.de 的电子邮件经过验证
Yonathan EfroniMeta, New York在 fb.com 的电子邮件经过验证
Shie MannorProfessor of Electrical Engineering @ Technion & Researcher @ Nvidia Research在 technion.ac.il 的电子邮件经过验证
Nadav MerlisPostdoctoral Fellow @ CREST, ENSAE Paris在 ensae.fr 的电子邮件经过验证

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Aadirupa Saha

Research Scientist, Apple ML Research, Cupertino

在 ttic.edu 的电子邮件经过验证 - 首页

AI Alignment (LLM)ML (Bandits Opt RL)Federated Learning Diff Privacy Mech Design Social Choice


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Consistent multiclass algorithms for complex performance measures H Narasimhan, H Ramaswamy, A Saha, S Agarwal International Conference on Machine Learning, 2398-2407, 2015	70	2015
Battle of Bandits. A Saha, A Gopalan UAI, 805-814, 2018	46	2018
Dueling rl: reinforcement learning with trajectory preferences A Pacchiano, A Saha, J Lee arXiv preprint arXiv:2111.04850, 2021	41	2021
Combinatorial bandits with relative feedback A Saha, A Gopalan Advances in Neural Information Processing Systems 32, 2019	38	2019
PAC battling bandits in the plackett-luce model A Saha, A Gopalan Algorithmic Learning Theory, 700-737, 2019	35	2019
Efficient and optimal algorithms for contextual dueling bandits under realizability A Saha, A Krishnamurthy International Conference on Algorithmic Learning Theory, 968-994, 2022	29	2022
Active ranking with subset-wise preferences A Saha, A Gopalan The 22nd International Conference on Artificial Intelligence and Statistics …, 2019	28	2019
Optimal Algorithms for Stochastic Contextual Preference Bandits A Saha Thirty-Fifth Annual Conference on Neural Information Processing Systems …, 2021	26	2021
Adversarial dueling bandits A Saha, T Koren, Y Mansour International Conference on Machine Learning, 9235-9244, 2021	22	2021
Improved sleeping bandits with stochastic action sets and adversarial rewards A Saha, P Gaillard, M Valko International Conference on Machine Learning, 8357-8366, 2020	20	2020
Dueling rl: Reinforcement learning with trajectory preferences A Saha, A Pacchiano, J Lee International Conference on Artificial Intelligence and Statistics, 6263-6289, 2023	19	2023
From PAC to instance-optimal sample complexity in the Plackett-Luce model A Saha, A Gopalan International Conference on Machine Learning, 8367-8376, 2020	19	2020
Versatile dueling bandits: Best-of-both world analyses for learning from relative preferences A Saha, P Gaillard International Conference on Machine Learning, 19011-19026, 2022	16	2022
Stochastic contextual dueling bandits under linear stochastic transitivity models V Bengs, A Saha, E Hüllermeier International Conference on Machine Learning, 1764-1786, 2022	15	2022
Best-item learning in random utility models with subset choices A Saha, A Gopalan International Conference on Artificial Intelligence and Statistics, 4281-4291, 2020	12	2020
Exploiting correlation to achieve faster learning rates in low-rank preference bandits A Saha, S Ghoshal International Conference on Artificial Intelligence and Statistics, 456-482, 2022	10	2022
Dueling convex optimization A Saha, T Koren, Y Mansour International Conference on Machine Learning, 9245-9254, 2021	9	2021
Confidence-budget matching for sequential budgeted learning Y Efroni, N Merlis, A Saha, S Mannor International Conference on Machine Learning, 2937-2947, 2021	9	2021
Energy-balancing and lifetime enhancement of wireless sensor network with Archimedes spiral S Halder, A Ghosal, A Saha, S DasBit Ubiquitous Intelligence and Computing: 8th International Conference, UIC …, 2011	9	2011
Distributed online and bandit convex optimization KK Patel, A Saha, L Wang, N Srebro OPT 2022: Optimization for Machine Learning (NeurIPS 2022 Workshop), 2022	7	2022

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