Aadirupa Saha
According to our database1,
Aadirupa Saha
authored at least 52 papers
between 2011 and 2024.
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Bibliography
2024
Hybrid Preference Optimization for Alignment: Provably Faster Convergence Rates by Combining Offline Preferences with Online Exploration.
CoRR, 2024
CoRR, 2024
Stop Relying on No-Choice and Do not Repeat the Moves: Optimal, Efficient and Practical Algorithms for Assortment Optimization.
CoRR, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the International Conference on Algorithmic Learning Theory, 2024
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
Think Before You Duel: Understanding Complexities of Preference Learning under Constrained Resources.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
2023
Think Before You Duel: Understanding Complexities of Preference Learning under Constrained Resources.
CoRR, 2023
Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
One Arrow, Two Kills: A Unified Framework for Achieving Optimal Regret Guarantees in Sleeping Bandits.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
ANACONDA: An Improved Dynamic Regret Algorithm for Adaptive Non-Stationary Dueling Bandits.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
One Arrow, Two Kills: An Unified Framework for Achieving Optimal Regret Guarantees in Sleeping Bandits.
CoRR, 2022
Versatile Dueling Bandits: Best-of-both-World Analyses for Online Learning from Preferences.
CoRR, 2022
Proceedings of the International Conference on Machine Learning, 2022
Versatile Dueling Bandits: Best-of-both World Analyses for Learning from Relative Preferences.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Algorithmic Learning Theory, 29 March, 2022
Exploiting Correlation to Achieve Faster Learning Rates in Low-Rank Preference Bandits.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
A Sketch Based Game Theoretic Approach to Detect Anomalous Dense Sub-Communities in Large Data Streams.
CoRR, 2021
Strategically efficient exploration in competitive multi-agent reinforcement learning.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
2020
CoRR, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
Polytime Decomposition of Generalized Submodular Base Polytopes with Efficient Sampling.
Proceedings of The 12th Asian Conference on Machine Learning, 2020
2019
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Algorithmic Learning Theory, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
PAC-Battling Bandits with Plackett-Luce: Tradeoff between Sample Complexity and Subset Size.
CoRR, 2018
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
2014
Learning Score Systems for Patient Mortality Prediction in Intensive Care Units via Orthogonal Matching Pursuit.
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014
2013
Proceedings of the Intelligence and Security Informatics - Pacific Asia Workshop, 2013
2011
Energy-Balancing and Lifetime Enhancement of Wireless Sensor Network with Archimedes Spiral.
Proceedings of the Ubiquitous Intelligence and Computing - 8th International Conference, 2011