Subhojyoti Mukherjee

Orcid: 0000-0003-0537-7184

According to our database1, Subhojyoti Mukherjee authored at least 13 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Efficient and Interpretable Bandit Algorithms.
CoRR, 2023

SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits.
CoRR, 2023

Multi-task Representation Learning for Pure Exploration in Bilinear Bandits.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
ReVar: Strengthening policy evaluation via reduced variance sampling.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Safety aware changepoint detection for piecewise i.i.d. bandits.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Chernoff Sampling for Active Testing and Extension to Active Regression.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Nearly Optimal Algorithms for Level Set Estimation.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
A Unified Approach to Translate Classical Bandit Algorithms to Structured Bandits.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
A Unified Approach to Translate Classical Bandit Algorithms to the Structured Bandit Setting.
IEEE J. Sel. Areas Inf. Theory, 2020

Generalized Chernoff Sampling for Active Learning and Structured Bandit Algorithms.
CoRR, 2020

2019
Distribution-dependent and Time-uniform Bounds for Piecewise i.i.d Bandits.
CoRR, 2019

2018
Efficient-UCBV: An Almost Optimal Algorithm Using Variance Estimates.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Thresholding Bandits with Augmented UCB.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017


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