Aadirupa Saha

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Aditya GopalanIndian Institute of Science, BangaloreVerified email at iisc.ac.in
Pierre GaillardINRIAVerified email at gaillard.me
Yishay MansourTel Aviv UniversityVerified email at tauex.tau.ac.il
Tomer KorenAssociate Professor at Tel Aviv UniversityVerified email at tauex.tau.ac.il
Aldo PacchianoBroad Institute of MIT and HarvardVerified email at broadinstitute.org
Thomas Kleine BueningThe Alan Turing Institute / University of OxfordVerified email at turing.ac.uk
Kumar Kshitij PatelPhd Student, TTICVerified email at ttic.edu
Avrim BlumProfessor and Chief Academic Officer, Toyota Technological Institute at ChicagoVerified email at ttic.edu
Nathan SrebroProfessor, TTIC and University of ChicagoVerified email at ttic.edu
Lingxiao WangToyota Technological Institute at ChicagoVerified email at ttic.edu
Akshay KrishnamurthyUniversity of Massachusetts AmherstVerified email at cs.umass.edu
Haifeng XuUniversity of ChicagoVerified email at uchicago.edu
Christos DimitrakakisProfessor, University of NeuchatelVerified email at alumni.epfl.ch
Suprovat GhoshalPostdoc at Northwestern University and TTI ChicagoVerified email at northwestern.edu
Michal ValkoLlama @ Meta Paris & Inria & MVA - Ex: Gemini and BYOL @ Google DeepMindVerified email at meta.com
Eyke HüllermeierProfessor of Computer Science, Paderborn UniversityVerified email at upb.de
Viktor BengsLMU MunichVerified email at lmu.de
Yonathan EfroniMeta, New YorkVerified email at fb.com
Shie MannorProfessor of Electrical Engineering @ Technion & Researcher @ NvidiaVerified email at technion.ac.il
Nadav MerlisPostdoctoral Fellow @ CREST, ENSAE ParisVerified email at ensae.fr

Aadirupa Saha

Research Scientist, Apple ML Research, Cupertino

Verified email at ttic.edu - Homepage

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


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Consistent multiclass algorithms for complex performance measures H Narasimhan, H Ramaswamy, A Saha, S Agarwal International Conference on Machine Learning, 2398-2407, 2015	73	2015
Dueling rl: reinforcement learning with trajectory preferences A Pacchiano, A Saha, J Lee arXiv preprint arXiv:2111.04850, 2021	50	2021
Battle of Bandits. A Saha, A Gopalan UAI, 805-814, 2018	49	2018
Combinatorial bandits with relative feedback A Saha, A Gopalan Advances in Neural Information Processing Systems 32, 2019	40	2019
Efficient and optimal algorithms for contextual dueling bandits under realizability A Saha, A Krishnamurthy International Conference on Algorithmic Learning Theory, 968-994, 2022	39	2022
Optimal Algorithms for Stochastic Contextual Preference Bandits A Saha Thirty-Fifth Annual Conference on Neural Information Processing Systems …, 2021	37	2021
PAC battling bandits in the plackett-luce model A Saha, A Gopalan Algorithmic Learning Theory, 700-737, 2019	37	2019
Dueling rl: Reinforcement learning with trajectory preferences A Saha, A Pacchiano, J Lee International Conference on Artificial Intelligence and Statistics, 6263-6289, 2023	33	2023
Active ranking with subset-wise preferences A Saha, A Gopalan The 22nd International Conference on Artificial Intelligence and Statistics …, 2019	30	2019
Adversarial dueling bandits A Saha, T Koren, Y Mansour International Conference on Machine Learning, 9235-9244, 2021	27	2021
Stochastic contextual dueling bandits under linear stochastic transitivity models V Bengs, A Saha, E Hüllermeier International Conference on Machine Learning, 1764-1786, 2022	24	2022
Improved sleeping bandits with stochastic action sets and adversarial rewards A Saha, P Gaillard, M Valko International Conference on Machine Learning, 8357-8366, 2020	24	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	22	2022
From PAC to instance-optimal sample complexity in the Plackett-Luce model A Saha, A Gopalan International Conference on Machine Learning, 8367-8376, 2020	20	2020
Dueling convex optimization A Saha, T Koren, Y Mansour International Conference on Machine Learning, 9245-9254, 2021	13	2021
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 S Ghoshal, A Saha arXiv preprint arXiv:2202.11795, 2022	10	2022
Distributed online and bandit convex optimization KK Patel, A Saha, L Wang, N Srebro OPT 2022: Optimization for Machine Learning (NeurIPS 2022 Workshop), 2022	10	2022
Confidence-budget matching for sequential budgeted learning Y Efroni, N Merlis, A Saha, S Mannor International Conference on Machine Learning, 2937-2947, 2021	10	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	10	2011

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