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Weihao Kong
Weihao Kong
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Title
Cited by
Cited by
Year
Isotropic hashing
W Kong, WJ Li
Advances in neural information processing systems 25, 2012
3722012
Efficient algorithms and lower bounds for robust linear regression
I Diakonikolas, W Kong, A Stewart
Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete …, 2019
1222019
Manhattan hashing for large-scale image retrieval
W Kong, WJ Li, M Guo
Proceedings of the 35th international ACM SIGIR conference on Research and …, 2012
1212012
Double-bit quantization for hashing
W Kong, WJ Li
Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 634-640, 2012
1042012
Spectrum estimation from samples
W Kong, G Valiant
642017
Combining factorization model and additive forest for collaborative followee recommendation
T Chen, L Tang, Q Liu, D Yang, S Xie, X Cao, C Wu, E Yao, Z Liu, Z Jiang, ...
KDD CUP, 2012
602012
Spectre: Defending against backdoor attacks using robust covariance estimation
J Hayase, W Kong
International Conference on Machine Learning, 2020
53*2020
Approximating the spectrum of a graph
D Cohen-Steiner, W Kong, C Sohler, G Valiant
Proceedings of the 24th acm sigkdd international conference on knowledge …, 2018
492018
Learning populations of parameters
K Tian, W Kong, G Valiant
Advances in neural information processing systems 30, 2017
392017
Meta-learning for mixed linear regression
W Kong, R Somani, Z Song, S Kakade, S Oh
International Conference on Machine Learning, 5394-5404, 2020
382020
Maximum likelihood estimation for learning populations of parameters
RK Vinayak, W Kong, G Valiant, S Kakade
International Conference on Machine Learning, 6448-6457, 2019
372019
Robust and differentially private mean estimation
X Liu, W Kong, S Kakade, S Oh
Advances in neural information processing systems 34, 3887-3901, 2021
342021
Estimating learnability in the sublinear data regime
W Kong, G Valiant
Advances in Neural Information Processing Systems 31, 2018
322018
Online model selection for reinforcement learning with function approximation
J Lee, A Pacchiano, V Muthukumar, W Kong, E Brunskill
International Conference on Artificial Intelligence and Statistics, 3340-3348, 2021
252021
Robust meta-learning for mixed linear regression with small batches
W Kong, R Somani, S Kakade, S Oh
Advances in neural information processing systems 33, 4683-4696, 2020
202020
Sublinear optimal policy value estimation in contextual bandits
W Kong, E Brunskill, G Valiant
International Conference on Artificial Intelligence and Statistics, 4377-4387, 2020
132020
Recovering structured probability matrices
Q Huang, SM Kakade, W Kong, G Valiant
arXiv preprint arXiv:1602.06586, 2016
102016
Optimal allocation for chunked-reward advertising
W Kong, J Li, TY Liu, T Qin
Web and Internet Economics: 9th International Conference, WINE 2013 …, 2013
7*2013
Fisher-Pitman permutation tests based on nonparametric Poisson mixtures with application to single cell genomics
Z Miao, W Kong, RK Vinayak, W Sun, F Han
Journal of the American Statistical Association, 1-13, 2022
42022
Optimal Estimation of Change in a Population of Parameters
RK Vinayak, W Kong, SM Kakade
arXiv preprint arXiv:1911.12568, 2019
42019
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