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Career

· Ph.D Student in Biostatistics, UC Berkeley2021–

Publications (21)

Best Arm Identification: A Unified Approach to Fixed Budget and Fixed Confidence
Neural Information Processing Systems · 2012
323
cited
Approximate modified policy iteration and its application to the game of Tetris
Journal of machine learning research · 2015
139
cited
Multi-Bandit Best Arm Identification
Neural Information Processing Systems · 2011
118
cited
Adaptive Submodular Maximization in Bandit Setting
Neural Information Processing Systems · 2013
62
cited
Approximate Dynamic Programming Finally Performs Well in the Game of Tetris
Neural Information Processing Systems · 2013
59
cited
Approximate Modified Policy Iteration
International Conference on Machine Learning · 2012
53
cited
Best of both worlds: Stochastic & adversarial best-arm identification
Annual Conference Computational Learning Theory · 2018
52
cited
A simple parameter-free and adaptive approach to optimization under a minimal local smoothness assumption
International Conference on Algorithmic Learning Theory · 2018
37
cited
Improved Learning Complexity in Combinatorial Pure Exploration Bandits
International Conference on Artificial Intelligence and Statistics · 2016
37
cited
Manas: multi-agent neural architecture search
Machine-mediated learning · 2019
26
cited
Large-Scale Optimistic Adaptive Submodularity
AAAI Conference on Artificial Intelligence · 2014
19
cited
Hit-and-Run for Sampling and Planning in Non-Convex Spaces
International Conference on Artificial Intelligence and Statistics · 2016
14
cited
Near Minimax Optimal Players for the Finite-Time 3-Expert Prediction Problem
Neural Information Processing Systems · 2017
12
cited
Approximate Modied Policy Iteration
2012
7
cited
Rollout Allocation Strategies for Classification-based Policy Iteration
2010
7
cited
Adaptive multi-fidelity optimization with fast learning rates
International Conference on Artificial Intelligence and Statistics · 2020
6
cited
Derivative-Free & Order-Robust Optimisation
International Conference on Artificial Intelligence and Statistics · 2019
6
cited
Asymptotic performance analysis of PCA algorithms based on the weighted subspace criterion
IEEE International Conference on Acoustics, Speech, and Signal Processing · 2009
2
cited
Budgeted Classification-based Policy Iteration
2014
1
cited
Machine Learning tools for Online Advertisement
2009
1
cited
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Victor Gabillon | Researcher Profile | Sotabase | Sotabase