Sen, Rajat

22 publications

ICML 2025 In-Context Fine-Tuning for Time-Series Foundation Models Matthew Faw, Rajat Sen, Yichen Zhou, Abhimanyu Das

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

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

ICMLW 2023 Contextual Set Selection Under Human Feedback with Model Misspecification Shuo Yang, Rajat Sen, Sujay Sanghavi

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

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

ICML 2022 On Learning Mixture of Linear Regressions in the Non-Realizable Setting Soumyabrata Pal, Arya Mazumdar, Rajat Sen, Avishek Ghosh

ICLR 2022 On the Benefits of Maximum Likelihood Estimation for Regression and Forecasting Pranjal Awasthi, Abhimanyu Das, Rajat Sen, Ananda Theertha Suresh

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

ICML 2021 Top-K eXtreme Contextual Bandits with Arm Hierarchy Rajat Sen, Alexander Rakhlin, Lexing Ying, Rahul Kidambi, Dean Foster, Daniel N Hill, Inderjit S. Dhillon

NeurIPS 2020 Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions Matthew Faw, Rajat Sen, Karthikeyan Shanmugam, Constantine Caramanis, Sanjay Shakkottai

NeurIPS 2019 Blocking Bandits Soumya Basu, Rajat Sen, Sujay Sanghavi, Sanjay Shakkottai

ECML-PKDD 2019 Importance Weighted Generative Networks Maurice Diesendruck, Ethan R. Elenberg, Rajat Sen, Guy W. Cole, Sanjay Shakkottai, Sinead A. Williamson

AISTATS 2019 Noisy Blackbox Optimization Using Multi-Fidelity Queries: A Tree Search Approach Rajat Sen, Kirthevasan Kandasamy, Sanjay Shakkottai

NeurIPS 2019 Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting Rajat Sen, Hsiang-Fu Yu, Inderjit S Dhillon

AISTATS 2018 Contextual Bandits with Stochastic Experts Rajat Sen, Karthikeyan Shanmugam, Sanjay Shakkottai

ICML 2018 Multi-Fidelity Black-Box Optimization with Hierarchical Partitions Rajat Sen, Kirthevasan Kandasamy, Sanjay Shakkottai

AISTATS 2017 Contextual Bandits with Latent Confounders: An NMF Approach Rajat Sen, Karthikeyan Shanmugam, Murat Kocaoglu, Alexandros G. Dimakis, Sanjay Shakkottai

ICML 2017 Identifying Best Interventions Through Online Importance Sampling Rajat Sen, Karthikeyan Shanmugam, Alexandros G. Dimakis, Sanjay Shakkottai

NeurIPS 2017 Model-Powered Conditional Independence Test Rajat Sen, Ananda Theertha Suresh, Karthikeyan Shanmugam, Alexandros G Dimakis, Sanjay Shakkottai

NeurIPS 2016 Regret of Queueing Bandits Subhashini Krishnasamy, Rajat Sen, Ramesh Johari, Sanjay Shakkottai