Nishant A. Mehta
Affiliations:- Georgia Institute of Technology, College of Computing, Atlanta, GA, USA
According to our database1,
Nishant A. Mehta
authored at least 36 papers
between 2009 and 2025.
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Bibliography
2025
Data-dependent Bounds with <i>T</i>-Optimal Best-of-Both-Worlds Guarantees in Multi-Armed Bandits using Stability-Penalty Matching.
CoRR, February, 2025
2024
Beyond Minimax Rates in Group Distributionally Robust Optimization via a Novel Notion of Sparsity.
CoRR, 2024
Open Problem: Optimal Rates for Stochastic Decision-Theoretic Online Learning Under Differentially Privacy.
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024
On the price of exact truthfulness in incentive-compatible online learning with bandit feedback: a regret lower bound for WSU-UX.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
2023
Proceedings of the International Conference on Algorithmic Learning Theory, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2021
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
2020
J. Mach. Learn. Res., 2020
A Farewell to Arms: Sequential Reward Maximization on a Budget with a Giving Up Option.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 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 39th IEEE International Conference on Distributed Computing Systems, 2019
A tight excess risk bound via a unified PAC-Bayesian-Rademacher-Shtarkov-MDL complexity.
Proceedings of the Algorithmic Learning Theory, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
2018
Interpreting Word-Level Hidden State Behaviour of Character-Level LSTM Language Models.
Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP, 2018
2017
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
2016
CompAdaGrad: A Compressed, Complementary, Computationally-Efficient Adaptive Gradient Method.
CoRR, 2016
From exp-concavity to variance control: O(1/n) rates and online-to-batch conversion with high probability.
CoRR, 2016
2015
Proceedings of The 28th Conference on Learning Theory, 2015
2014
On sparse representations and new meta-learning paradigms for representation learning.
PhD thesis, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
2013
Proceedings of the 30th International Conference on Machine Learning, 2013
2012
Computer detection approaches for the identification of phasic electromyographic (EMG) activity during human sleep.
Biomed. Signal Process. Control., 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
2011
Int. J. Hum. Comput. Interact., 2011
2010
Proceedings of the 20th International Conference on Pattern Recognition, 2010
2009
Proceedings of the SIAM International Conference on Data Mining, 2009