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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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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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* ALT 2022 

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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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Hierarchically Regularized Deep Forecasting


Jun 14, 2021
Biswajit Paria, Rajat Sen, Amr Ahmed, Abhimanyu Das

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One Network Fits All? Modular versus Monolithic Task Formulations in Neural Networks


Mar 29, 2021
Atish Agarwala, Abhimanyu Das, Brendan Juba, Rina Panigrahy, Vatsal Sharan, Xin Wang, Qiuyi Zhang

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* 30 pages, 6 figures 

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Upper Confidence Bounds for Combining Stochastic Bandits


Dec 24, 2020
Ashok Cutkosky, Abhimanyu Das, Manish Purohit

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Learning the gravitational force law and other analytic functions


May 15, 2020
Atish Agarwala, Abhimanyu Das, Rina Panigrahy, Qiuyi Zhang

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On the Learnability of Deep Random Networks


Apr 08, 2019
Abhimanyu Das, Sreenivas Gollapudi, Ravi Kumar, Rina Panigrahy

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