フォロー
Shubhanshu Shekhar
Shubhanshu Shekhar
確認したメール アドレス: andrew.cmu.edu - ホームページ
タイトル
引用先
引用先
Fully decentralized federated learning
A Lalitha, S Shekhar, T Javidi, F Koushanfar
Third workshop on bayesian deep learning (NeurIPS) 2, 2018
1672018
Gaussian process bandits with adaptive discretization
S Shekhar, T Javidi
452018
Adaptive sampling for minimax fair classification
S Shekhar, G Fields, M Ghavamzadeh, T Javidi
Advances in Neural Information Processing Systems 34, 24535-24544, 2021
362021
Species tree estimation using ASTRAL: how many genes are enough?
S Shekhar, S Roch, S Mirarab
IEEE/ACM transactions on computational biology and bioinformatics 15 (5 …, 2017
342017
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
262020
On the near-optimality of betting confidence sets for bounded means
S Shekhar, A Ramdas
arXiv preprint arXiv:2310.01547, 2023
222023
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
192021
Nonparametric two-sample testing by betting
S Shekhar, A Ramdas
IEEE Transactions on Information Theory, 2023
18*2023
Significance of gradient information in bayesian optimization
S Shekhar, T Javidi
International Conference on Artificial Intelligence and Statistics, 2836-2844, 2021
172021
A permutation-free kernel two-sample test
S Shekhar, I Kim, A Ramdas
Advances in Neural Information Processing Systems 35, 18168-18180, 2022
162022
Multi-scale zero-order optimization of smooth functions in an RKHS
S Shekhar, T Javidi
arXiv preprint arXiv:2005.04832, 2020
152020
Multiscale gaussian process level set estimation
S Shekhar, T Javidi
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
142019
Uncertain-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
112021
Binary classification with bounded abstention rate
S Shekhar, M Ghavamzadeh, T Javidi
arXiv preprint arXiv:1905.09561, 2019
112019
Adaptive sampling for estimating probability distributions
S Shekhar, T Javidi, M Ghavamzadeh
International Conference on Machine Learning, 8687-8696, 2020
82020
A permutation-free kernel independence test
S Shekhar, I Kim, A Ramdas
Journal of Machine Learning Research 24 (369), 1-68, 2023
62023
Active learning for binary classification with abstention
S Shekhar, M Ghavamzadeh, T Javidi
arXiv preprint arXiv:1906.00303, 2019
52019
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
42022
Sequential change detection via backward confidence sequences
S Shekhar, A Ramdas
arXiv preprint arXiv:2302.02544, 2023
32023
Risk-limiting financial audits via weighted sampling without replacement
S Shekhar, Z Xu, Z Lipton, P Liang, A Ramdas
Uncertainty in Artificial Intelligence, 1932-1941, 2023
22023
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