Das, Abhimanyu

17 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

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

AAAI 2022 Beyond GNNs: An Efficient Architecture for Graph Problems Pranjal Awasthi, Abhimanyu Das, Sreenivas Gollapudi

ALT 2022 Leveraging Initial Hints for Free in Stochastic Linear Bandits Ashok Cutkosky, Chris Dann, Abhimanyu Das, Qiuyi Zhang

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

NeurIPS 2021 A Convergence Analysis of Gradient Descent on Graph Neural Networks Pranjal Awasthi, Abhimanyu Das, Sreenivas Gollapudi

ICML 2021 Dynamic Balancing for Model Selection in Bandits and RL Ashok Cutkosky, Christoph Dann, Abhimanyu Das, Claudio Gentile, Aldo Pacchiano, Manish Purohit

ICLR 2021 One Network Fits All? Modular Versus Monolithic Task Formulations in Neural Networks Atish Agarwala, Abhimanyu Das, Brendan Juba, Rina Panigrahy, Vatsal Sharan, Xin Wang, Qiuyi Zhang

ICML 2021 Robust Pure Exploration in Linear Bandits with Limited Budget Ayya Alieva, Ashok Cutkosky, Abhimanyu Das

JMLR 2018 Approximate Submodularity and Its Applications: Subset Selection, Sparse Approximation and Dictionary Selection Abhimanyu Das, David Kempe

NeurIPS 2012 Selecting Diverse Features via Spectral Regularization Abhimanyu Das, Anirban Dasgupta, Ravi Kumar

ICML 2011 Submodular Meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection Abhimanyu Das, David Kempe