| Fully Decentralized Federated Learning A Lalitha, S Shekhar, T Javidi, F Koushanfar Third workshop on Bayesian Deep Learning (NeurIPS), 2018 | 90 | 2018 |
| Gaussian process bandits with adaptive discretization S Shekhar, T Javidi Electronic Journal of Statistics 12 (2), 3829-3874, 2018 | 40 | 2018 |
| Species tree estimation using ASTRAL: how many genes are enough? S Shekhar, S Roch, S Mirarab IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) 15 …, 2018 | 26 | 2018 |
| Active model estimation in markov decision processes J Tarbouriech, S Shekhar, M Pirotta, M Ghavamzadeh, A Lazaric Conference on Uncertainty in Artificial Intelligence, 1019-1028, 2020 | 15 | 2020 |
| Active Learning for Classification with Abstention S Shekhar, M Ghavamzadeh, T Javidi IEEE Journal on Selected Areas in Information Theory 2 (2), 705-719, 2021 | 14* | 2021 |
| Adaptive Sampling for Minimax Fair Classification S Shekhar, G Fields, M Ghavamzadeh, T Javidi Advances in Neural Information Processing Systems 34, 2021 | 13 | 2021 |
| Multiscale Gaussian Process Level Set Estimation S Shekhar, T Javidi The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 13 | 2019 |
| Multi-Scale Zero-Order Optimization of Smooth Functions in an RKHS M Lee, S Shekhar, T Javidi 2022 IEEE International Symposium on Information Theory (ISIT), 288-293, 2022 | 12* | 2022 |
| Binary Classification with Bounded Abstention Rate S Shekhar, M Ghavamzadeh, T Javidi arXiv preprint arXiv:1905.09561, 2019 | 8 | 2019 |
| Significance of Gradient Information in Bayesian Optimization S Shekhar, T Javidi International Conference on Artificial Intelligence and Statistics, 2836-2844, 2021 | 7 | 2021 |
| Adaptive sampling for estimating probability distributions S Shekhar, M Ghavamzadeh, T Javidi International Conference on Machine Learning (ICML) 2020, 2020 | 7 | 2020 |
| Uncertainty-aware Safe Exploratory Planning using Gaussian Process and Neural Control Contraction Metric D Sun, MJ Khojasteh, S Shekhar, C Fan Learning for Dynamics and Control, 728-741, 2021 | 5 | 2021 |
| Nonparametric Two-Sample Testing by Betting S Shekhar, A Ramdas arXiv preprint arXiv:2112.09162, 2021 | 4* | 2021 |
| A permutation-free kernel two-sample test S Shekhar, I Kim, A Ramdas Advances in Neural Information Processing Systems, 2022 | 3 | 2022 |
| Sequential change detection via backward confidence sequences S Shekhar, A Ramdas arXiv preprint arXiv:2302.02544, 2023 | | 2023 |
| A Permutation-Free Kernel Independence Test S Shekhar, I Kim, A Ramdas arXiv preprint arXiv:2212.09108, 2022 | | 2022 |
| Instance-Dependent Regret Analysis of Kernelized Bandits S Shekhar, T Javidi International Conference on Machine Learning (ICML) 2022, 2022 | | 2022 |
| Sequential Decision Making for Optimization and Learning under Uncertainty S Shekhar University of California, San Diego, 2021 | | 2021 |
| Improved Regret Bounds for Agnostic Gaussian Process Bandits using Local Polynomial Estimators S Shekhar, T Javidi | | |
Tara JavidiProfessor of Electrical and Computer Engineering, UCSDVerified email at eng.ucsd.edu
