Weihao Kong
Weihao Kong
Verified email at uw.edu - Homepage
Title
Cited by
Cited by
Year
Isotropic hashing
W Kong, WJ Li
Advances in neural information processing systems, 1646-1654, 2012
2972012
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
1042012
Double-bit quantization for hashing
W Kong, WJ Li
Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
882012
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
562012
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
512019
Spectrum estimation from samples
W Kong, G Valiant
The Annals of Statistics 45 (5), 2218-2247, 2017
332017
Learning populations of parameters
K Tian, W Kong, G Valiant
Advances in neural information processing systems, 5778-5787, 2017
172017
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
152018
Maximum likelihood estimation for learning populations of parameters
RK Vinayak, W Kong, G Valiant, SM Kakade
arXiv preprint arXiv:1902.04553, 2019
112019
Estimating learnability in the sublinear data regime
W Kong, G Valiant
Advances in Neural Information Processing Systems, 5455-5464, 2018
112018
Recovering structured probability matrices
Q Huang, SM Kakade, W Kong, G Valiant
arXiv preprint arXiv:1602.06586, 2016
72016
Optimal allocation for chunked-reward advertising
W Kong, J Li, TY Liu, T Qin
International Conference on Web and Internet Economics, 291-304, 2013
42013
Sublinear optimal policy value estimation in contextual bandits
W Kong, E Brunskill, G Valiant
International Conference on Artificial Intelligence and Statistics, 4377-4387, 2020
32020
Meta-learning for mixed linear regression
W Kong, R Somani, Z Song, S Kakade, S Oh
arXiv preprint arXiv:2002.08936, 2020
12020
Robust Meta-learning for Mixed Linear Regression with Small Batches
W Kong, R Somani, S Kakade, S Oh
arXiv preprint arXiv:2006.09702, 2020
2020
Optimal Estimation of Change in a Population of Parameters
RK Vinayak, W Kong, SM Kakade
arXiv preprint arXiv:1911.12568, 2019
2019
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Articles 1–16