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Abhimanyu Das

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Transformers can optimally learn regression mixture models

Nov 14, 2023
Reese Pathak, Rajat Sen, Weihao Kong, Abhimanyu Das

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A decoder-only foundation model for time-series forecasting

Oct 14, 2023
Abhimanyu Das, Weihao Kong, Rajat Sen, Yichen Zhou

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Linear Regression using Heterogeneous Data Batches

Sep 05, 2023
Ayush Jain, Rajat Sen, Weihao Kong, Abhimanyu Das, Alon Orlitsky

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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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Efficient List-Decodable Regression using Batches

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

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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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A Top-Down Approach to Hierarchically Coherent Probabilistic Forecasting

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

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Leveraging Initial Hints for Free in Stochastic Linear Bandits

Mar 08, 2022
Ashok Cutkosky, Chris Dann, Abhimanyu Das, Qiuyi, Zhang

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On the benefits of maximum likelihood estimation for Regression and Forecasting

Jun 18, 2021
Pranjal Awasthi, Abhimanyu Das, Rajat Sen, Ananda Theertha Suresh

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