Kong, Weihao

22 publications

ICML 2024 A Decoder-Only Foundation Model for Time-Series Forecasting Abhimanyu Das, Weihao Kong, Rajat Sen, Yichen Zhou

TMLR 2024 Estimating Optimal Policy Value in Linear Contextual Bandits Beyond Gaussianity Jonathan Lee, Weihao Kong, Aldo Pacchiano, Vidya Muthukumar, Emma Brunskill

COLT 2024 Insufficient Statistics Perturbation: Stable Estimators for Private Least Squares Extended Abstract Gavin Brown, Jonathan Hayase, Samuel Hopkins, Weihao Kong, Xiyang Liu, Sewoong Oh, Juan C Perdomo, Adam Smith

NeurIPS 2024 Linear Regression Using Heterogeneous Data Batches Ayush Jain, Rajat Sen, Weihao Kong, Abhimanyu Das, Alon Orlitsky

ICLR 2024 Transformers Can Optimally Learn Regression Mixture Models Reese Pathak, Rajat Sen, Weihao Kong, Abhimanyu Das

ICML 2023 Efficient List-Decodable Regression Using Batches Abhimanyu Das, Ayush Jain, Weihao Kong, Rajat Sen

NeurIPS 2023 Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency Xiyang Liu, Prateek Jain, Weihao Kong, Sewoong Oh, Arun Suggala

TMLR 2023 Long-Term Forecasting with TiDE: Time-Series Dense Encoder Abhimanyu Das, Weihao Kong, Andrew Leach, Shaan K Mathur, Rajat Sen, Rose Yu

NeurIPS 2022 DP-PCA: Statistically Optimal and Differentially Private PCA Xiyang Liu, Weihao Kong, Prateek Jain, Sewoong Oh

COLT 2022 Differential Privacy and Robust Statistics in High Dimensions Xiyang Liu, Weihao Kong, Sewoong Oh

NeurIPS 2022 Trimmed Maximum Likelihood Estimation for Robust Generalized Linear Model Pranjal Awasthi, Abhimanyu Das, Weihao Kong, Rajat Sen

AISTATS 2021 Online Model Selection for Reinforcement Learning with Function Approximation Jonathan Lee, Aldo Pacchiano, Vidya Muthukumar, Weihao Kong, Emma Brunskill

NeurIPS 2021 Robust and Differentially Private Mean Estimation Xiyang Liu, Weihao Kong, Sham Kakade, Sewoong Oh

ICML 2021 SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics Jonathan Hayase, Weihao Kong, Raghav Somani, Sewoong Oh

ICML 2020 Meta-Learning for Mixed Linear Regression Weihao Kong, Raghav Somani, Zhao Song, Sham Kakade, Sewoong Oh

NeurIPS 2020 Robust Meta-Learning for Mixed Linear Regression with Small Batches Weihao Kong, Raghav Somani, Sham Kakade, Sewoong Oh

AISTATS 2020 Sublinear Optimal Policy Value Estimation in Contextual Bandits Weihao Kong, Emma Brunskill, Gregory Valiant

ICML 2019 Maximum Likelihood Estimation for Learning Populations of Parameters Ramya Korlakai Vinayak, Weihao Kong, Gregory Valiant, Sham Kakade

NeurIPS 2018 Estimating Learnability in the Sublinear Data Regime Weihao Kong, Gregory Valiant

NeurIPS 2017 Learning Populations of Parameters Kevin Tian, Weihao Kong, Gregory Valiant

AAAI 2012 Double-Bit Quantization for Hashing Weihao Kong, Wu-Jun Li

NeurIPS 2012 Isotropic Hashing Weihao Kong, Wu-jun Li