Weihao Kong

发表

Efficient Algorithms and Lower Bounds for Robust Linear Regression

Ilias Diakonikolas, Alistair Stewart, Weihao Kong, 2018, SODA.

Maximum Likelihood Estimation for Learning Populations of Parameters

Sham M. Kakade, Gregory Valiant, Weihao Kong, 2019, ICML.

Optimal Estimation of Change in a Population of Parameters pdf

Sham M. Kakade, Weihao Kong, Ramya Korlakai Vinayak, 2019, ArXiv.

A Top-Down Approach to Hierarchically Coherent Probabilistic Forecasting

Rajat Sen, Weihao Kong, Biswajit Paria, 2022, ArXiv.

L G ] 6 F eb 2 01 8 Recovering Structured Probability Matrices

S. Kakade, G. Valiant, Weihao Kong, 2018 .

SPECTRE: Defending Against Backdoor Attacks Using Robust Covariance Estimation

Weihao Kong, Sewoong Oh, J. Hayase, 2021 .

Defense against backdoor attacks via robust covariance estimation

Sewoong Oh, Weihao Kong, Jonathan Hayase, 2021, ICML.

Estimating Learnability in the Sublinear Data Regime ∗ Weihao Kong

G. Valiant, Weihao Kong, 2018 .

Trimmed Maximum Likelihood Estimation for Robust Learning in Generalized Linear Models

Rajat Sen, Pranjal Awasthi, Weihao Kong, 2022, ArXiv.

Trimmed Maximum Likelihood Estimation for Robust Learning in Generalized Linear Models

Rajat Sen, Pranjal Awasthi, Weihao Kong, 2022, ArXiv.

A Deep Top-Down Approach to Hierarchically Coherent Probabilistic Forecasting

Rajat Sen, Weihao Kong, Biswajit Paria, 2022 .

Efficient List-Decodable Regression using Batches

Rajat Sen, Weihao Kong, Abhimanyu Das, 2022, ICML.

Combining Factorization Model and Additive Forest for Collaborative Followee Recommendation

Diyi Yang, Tianqi Chen, Weihao Kong, 2012 .

Spectrum Estimation from Samples pdf

Gregory Valiant, Weihao Kong, G. Valiant, 2016, ArXiv.

Fisher-Pitman permutation tests based on nonparametric Poisson mixtures with application to single cell genomics pdf

Weihao Kong, Ramya Korlakai Vinayak, Wei Sun, 2021, Journal of the American Statistical Association.

Manhattan hashing for large-scale image retrieval

Minyi Guo, Wu-Jun Li, Weihao Kong, 2012, SIGIR '12.

Double-Bit Quantization for Hashing

Wu-Jun Li, Weihao Kong, Weihao Kong, 2012, AAAI.

SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics pdf

Sewoong Oh, Weihao Kong, Raghav Somani, 2021, ArXiv.

Isotropic Hashing

Wu-Jun Li, Weihao Kong, Weihao Kong, 2012, NIPS.

Meta-learning for mixed linear regression

Weihao Kong, Zhao Song, Raghav Somani, 2020, ICML.

Coherent Perfect Absorption Laser Points in One-Dimensional Anti-Parity–Time-Symmetric Photonic Crystals

Weihao Kong, Dong Zhong, Pu Zhang, 2019, Applied Sciences.

Approximating the Spectrum of a Graph

David Cohen-Steiner, Christian Sohler, Weihao Kong, 2017, KDD.

Sublinear Optimal Policy Value Estimation in Contextual Bandits

Weihao Kong, Emma Brunskill, Gregory Valiant, 2019, AISTATS.

Estimating Optimal Policy Value in General Linear Contextual Bandits

Weihao Kong, Aldo Pacchiano, Vidya Muthukumar, 2023, ArXiv.

Long-term Forecasting with TiDE: Time-series Dense Encoder

Andrew B. Leach, Rajat Sen, Weihao Kong, 2023, ArXiv.

Dirichlet Proportions Model for Hierarchically Coherent Probabilistic Forecasting

Rajat Sen, Weihao Kong, Biswajit Paria, 2022, 2204.10414.

Online Model Selection for Reinforcement Learning with Function Approximation pdf

Weihao Kong, Aldo Pacchiano, Emma Brunskill, 2020, AISTATS.

Estimating Optimal Policy Value in Linear Contextual Bandits beyond Gaussianity

Weihao Kong, Aldo Pacchiano, Vidya Muthukumar, 2021 .

Robust and Differentially Private Mean Estimation pdf

Weihao Kong, Sewoong Oh, Sham Kakade, 2021, NeurIPS.

Long-term Forecasting with TiDE: Time-series Dense Encoder

Andrew B. Leach, Rajat Sen, Weihao Kong, 2023, Trans. Mach. Learn. Res..

Trimmed Maximum Likelihood Estimation for Robust Generalized Linear Model

Rajat Sen, Pranjal Awasthi, Weihao Kong, 2022, NeurIPS.

Robust Meta-learning for Mixed Linear Regression with Small Batches pdf

Weihao Kong, Sewoong Oh, Raghav Somani, 2020, NeurIPS.

Estimating Learnability in the Sublinear Data Regime

Gregory Valiant, Weihao Kong, G. Valiant, 2018, NeurIPS.

DP-PCA: Statistically Optimal and Differentially Private PCA

Sewoong Oh, Prateek Jain, Weihao Kong, 2022, NeurIPS.

Near Optimal Private and Robust Linear Regression

Arun Sai Suggala, Sewoong Oh, Prateek Jain, 2023, ArXiv.

Differential privacy and robust statistics in high dimensions pdf

Weihao Kong, Sewoong Oh, Xiyang Liu, 2021, COLT.

Learning Populations of Parameters

Gregory Valiant, Weihao Kong, Kevin Tian, 2017, NIPS.

Recovering Structured Probability Matrices

Qingqing Huang, Sham M. Kakade, Gregory Valiant, 2016, ITCS.