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


Apr 27, 2023
Abhimanyu Das, Weihao Kong, Andrew Leach, Shaan Mathur, Rajat Sen, Rose Yu

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Estimating Optimal Policy Value in General Linear Contextual Bandits


Feb 19, 2023
Jonathan N. Lee, Weihao Kong, Aldo Pacchiano, Vidya Muthukumar, Emma Brunskill

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Near Optimal Private and Robust Linear Regression


Jan 30, 2023
Xiyang Liu, Prateek Jain, Weihao Kong, Sewoong Oh, Arun Sai Suggala

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Efficient List-Decodable Regression using Batches


Nov 23, 2022
Abhimanyu Das, Ayush Jain, Weihao Kong, Rajat Sen

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* First draft 
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Trimmed Maximum Likelihood Estimation for Robust Learning in Generalized Linear Models


Jun 09, 2022
Weihao Kong, Rajat Sen, Pranjal Awasthi, Abhimanyu Das

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DP-PCA: Statistically Optimal and Differentially Private PCA


May 27, 2022
Xiyang Liu, Weihao Kong, Prateek Jain, Sewoong Oh

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A Top-Down Approach to Hierarchically Coherent Probabilistic Forecasting


Apr 21, 2022
Abhimanyu Das, Weihao Kong, Biswajit Paria, Rajat Sen

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Differential privacy and robust statistics in high dimensions


Nov 12, 2021
Xiyang Liu, Weihao Kong, Sewoong Oh

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


Jun 06, 2021
Zhen Miao, Weihao Kong, Ramya Korlakai Vinayak, Wei Sun, Fang Han

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* 52 pages 
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