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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
3882012
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
1612019
SPECTRE: Defending against backdoor attacks using robust covariance estimation
J Hayase, W Kong
International Conference on Machine Learning, 2020
147*2020
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
1222012
Double-bit quantization for hashing
W Kong, WJ Li
Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 634-640, 2012
1082012
Long-term forecasting with tide: Time-series dense encoder
A Das, W Kong, A Leach, S Mathur, R Sen, R Yu
arXiv preprint arXiv:2304.08424, 2023
1062023
Spectrum estimation from samples
W Kong, G Valiant
772017
Robust and differentially private mean estimation
X Liu, W Kong, S Kakade, S Oh
Advances in neural information processing systems 34, 3887-3901, 2021
732021
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
652018
Meta-learning for mixed linear regression
W Kong, R Somani, Z Song, S Kakade, S Oh
International Conference on Machine Learning, 5394-5404, 2020
632020
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
Differential privacy and robust statistics in high dimensions
X Liu, W Kong, S Oh
Conference on Learning Theory, 1167-1246, 2022
592022
Maximum likelihood estimation for learning populations of parameters
RK Vinayak, W Kong, G Valiant, S Kakade
International Conference on Machine Learning, 6448-6457, 2019
452019
Learning populations of parameters
K Tian, W Kong, G Valiant
Advances in neural information processing systems 30, 2017
452017
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
372021
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
372020
A decoder-only foundation model for time-series forecasting
A Das, W Kong, R Sen, Y Zhou
arXiv preprint arXiv:2310.10688, 2023
362023
Estimating learnability in the sublinear data regime
W Kong, G Valiant
Advances in Neural Information Processing Systems 31, 2018
362018
Sublinear optimal policy value estimation in contextual bandits
W Kong, E Brunskill, G Valiant
International Conference on Artificial Intelligence and Statistics, 4377-4387, 2020
162020
Dp-pca: Statistically optimal and differentially private pca
X Liu, W Kong, P Jain, S Oh
Advances in neural information processing systems 35, 29929-29943, 2022
152022
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