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Aadirupa Saha
Aadirupa Saha
Research Scientist, Apple ML Research, Cupertino
Verified email at ttic.edu - Homepage
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
692015
Battle of Bandits.
A Saha, A Gopalan
UAI, 805-814, 2018
452018
Combinatorial bandits with relative feedback
A Saha, A Gopalan
Advances in Neural Information Processing Systems 32, 2019
372019
Dueling rl: reinforcement learning with trajectory preferences
A Pacchiano, A Saha, J Lee
arXiv preprint arXiv:2111.04850, 2021
342021
PAC battling bandits in the plackett-luce model
A Saha, A Gopalan
Algorithmic Learning Theory, 700-737, 2019
332019
Efficient and optimal algorithms for contextual dueling bandits under realizability
A Saha, A Krishnamurthy
International Conference on Algorithmic Learning Theory, 968-994, 2022
252022
Active ranking with subset-wise preferences
A Saha, A Gopalan
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
252019
Adversarial dueling bandits
A Saha, T Koren, Y Mansour
International Conference on Machine Learning, 9235-9244, 2021
202021
Optimal Algorithms for Stochastic Contextual Preference Bandits
A Saha
Thirty-Fifth Annual Conference on Neural Information Processing Systems …, 2021
192021
Improved sleeping bandits with stochastic action sets and adversarial rewards
A Saha, P Gaillard, M Valko
International Conference on Machine Learning, 8357-8366, 2020
192020
From PAC to instance-optimal sample complexity in the Plackett-Luce model
A Saha, A Gopalan
International Conference on Machine Learning, 8367-8376, 2020
182020
Dueling rl: Reinforcement learning with trajectory preferences
A Saha, A Pacchiano, J Lee
International Conference on Artificial Intelligence and Statistics, 6263-6289, 2023
142023
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
142022
Stochastic contextual dueling bandits under linear stochastic transitivity models
V Bengs, A Saha, E Hüllermeier
International Conference on Machine Learning, 1764-1786, 2022
122022
Best-item learning in random utility models with subset choices
A Saha, A Gopalan
International Conference on Artificial Intelligence and Statistics, 4281-4291, 2020
122020
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
92022
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
92011
Dueling convex optimization
A Saha, T Koren, Y Mansour
International Conference on Machine Learning, 9245-9254, 2021
82021
Optimal and efficient dynamic regret algorithms for non-stationary dueling bandits
S Gupta, A Saha
arXiv e-prints, arXiv: 2111.03917, 2021
72021
Optimal regret algorithm for pseudo-1d bandit convex optimization
A Saha, N Natarajan, P Netrapalli, P Jain
International Conference on Machine Learning, 9255-9264, 2021
72021
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