Rajat Sen - RankMe

61 papers A* 17A 6C 1Journal 34Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	In-Context Fine-Tuning for Time-Series Foundation Models. ICML Matthew Faw, Rajat Sen, Yichen Zhou, Abhimanyu Das
2024	A	`conf`	A Combinatorial Approach to Robust PCA. ITCS Weihao Kong, Mingda Qiao, Rajat Sen
2024	A*	`conf`	A decoder-only foundation model for time-series forecasting. ICML Abhimanyu Das, Weihao Kong, Rajat Sen, Yichen Zhou
2024	J	`jnl`	Bandits with Stochastic Experts: Constant Regret, Empirical Experts and Episodes. ACM Trans. Model. Perform. Evaluation Comput. Syst. Nihal Sharma, Rajat Sen, Soumya Basu, Karthikeyan Shanmugam, Sanjay Shakkottai
2024	J	`jnl`	In-Context Fine-Tuning for Time-Series Foundation Models. CoRR Abhimanyu Das, Matthew Faw, Rajat Sen, Yichen Zhou
2024	A*	`conf`	Linear Regression using Heterogeneous Data Batches. NeurIPS Ayush Jain, Rajat Sen, Weihao Kong, Abhimanyu Das, Alon Orlitsky
2024	J	`jnl`	Multi-Modal Forecaster: Jointly Predicting Time Series and Textual Data. CoRR Kai Kim, Howard Tsai, Rajat Sen, Abhimanyu Das, Zihao Zhou, Abhishek Tanpure, Mathew Luo, Rose Yu
2024	A*	`conf`	Transformers can optimally learn regression mixture models. ICLR Reese Pathak, Rajat Sen, Weihao Kong, Abhimanyu Das
2023	J	`jnl`	A Combinatorial Approach to Robust PCA. CoRR Weihao Kong, Mingda Qiao, Rajat Sen
2023	J	`jnl`	A decoder-only foundation model for time-series forecasting. CoRR Abhimanyu Das, Weihao Kong, Rajat Sen, Yichen Zhou
2023	A	`conf`	Blackbox optimization of unimodal functions. UAI Ashok Cutkosky, Abhimanyu Das, Weihao Kong, Chansoo Lee, Rajat Sen
2023	A	`conf`	Dirichlet Proportions Model for Hierarchically Coherent Probabilistic Forecasting. UAI Abhimanyu Das, Weihao Kong, Biswajit Paria, Rajat Sen
2023	A*	`conf`	Efficient List-Decodable Regression using Batches. ICML Abhimanyu Das, Ayush Jain, Weihao Kong, Rajat Sen
2023	J	`jnl`	Linear Regression using Heterogeneous Data Batches. CoRR Ayush Jain, Rajat Sen, Weihao Kong, Abhimanyu Das, Alon Orlitsky
2023	J	`jnl`	Long-term Forecasting with TiDE: Time-series Dense Encoder. CoRR Abhimanyu Das, Weihao Kong, Andrew Leach, Shaan Mathur, Rajat Sen, Rose Yu
2023	J	`jnl`	Long-term Forecasting with TiDE: Time-series Dense Encoder. Trans. Mach. Learn. Res. Abhimanyu Das, Weihao Kong, Andrew Leach, Shaan Mathur, Rajat Sen, Rose Yu
2023	J	`jnl`	Transformers can optimally learn regression mixture models. CoRR Reese Pathak, Rajat Sen, Weihao Kong, Abhimanyu Das
2022	J	`jnl`	A Top-Down Approach to Hierarchically Coherent Probabilistic Forecasting. CoRR Abhimanyu Das, Weihao Kong, Biswajit Paria, Rajat Sen
2022	J	`jnl`	Efficient List-Decodable Regression using Batches. CoRR Abhimanyu Das, Ayush Jain, Weihao Kong, Rajat Sen
2022	A*	`conf`	On Learning Mixture of Linear Regressions in the Non-Realizable Setting. ICML Soumyabrata Pal, Arya Mazumdar, Rajat Sen, Avishek Ghosh
2022	J	`jnl`	On Learning Mixture of Linear Regressions in the Non-Realizable Setting. CoRR Avishek Ghosh, Arya Mazumdar, Soumyabrata Pal, Rajat Sen
2022	A*	`conf`	On the benefits of maximum likelihood estimation for Regression and Forecasting. ICLR Pranjal Awasthi, Abhimanyu Das, Rajat Sen, Ananda Theertha Suresh
2022	A*	`conf`	Trimmed Maximum Likelihood Estimation for Robust Generalized Linear Model. NeurIPS Pranjal Awasthi, Abhimanyu Das, Weihao Kong, Rajat Sen
2022	J	`jnl`	Trimmed Maximum Likelihood Estimation for Robust Learning in Generalized Linear Models. CoRR Weihao Kong, Rajat Sen, Pranjal Awasthi, Abhimanyu Das
2021	J	`jnl`	Auto-Tuning for Cellular Scheduling Through Bandit-Learning and Low-Dimensional Clustering. IEEE/ACM Trans. Netw. Isfar Tariq, Rajat Sen, Thomas David Novlan, Salam Akoum, Milap Majmundar, Gustavo de Veciana, Sanjay Shakkottai
2021	J	`jnl`	Cluster-and-Conquer: A Framework For Time-Series Forecasting. CoRR Reese Pathak, Rajat Sen, Nikhil Rao, N. Benjamin Erichson, Michael I. Jordan, Inderjit S. Dhillon
2021	J	`jnl`	Hierarchically Regularized Deep Forecasting. CoRR Biswajit Paria, Rajat Sen, Amr Ahmed, Abhimanyu Das
2021	J	`jnl`	Learning Unknown Service Rates in Queues: A Multiarmed Bandit Approach. Oper. Res. Subhashini Krishnasamy, Rajat Sen, Ramesh Johari, Sanjay Shakkottai
2021	J	`jnl`	On the benefits of maximum likelihood estimation for Regression and Forecasting. CoRR Pranjal Awasthi, Abhimanyu Das, Rajat Sen, Ananda Theertha Suresh
2021	A*	`conf`	Session-Aware Query Auto-completion using Extreme Multi-Label Ranking. KDD Nishant Yadav, Rajat Sen, Daniel N. Hill, Arya Mazumdar, Inderjit S. Dhillon
2021	A*	`conf`	Top-k eXtreme Contextual Bandits with Arm Hierarchy. ICML Rajat Sen, Alexander Rakhlin, Lexing Ying, Rahul Kidambi, Dean P. Foster, Daniel N. Hill, Inderjit S. Dhillon
2021	J	`jnl`	Top-k eXtreme Contextual Bandits with Arm Hierarchy. CoRR Rajat Sen, Alexander Rakhlin, Lexing Ying, Rahul Kidambi, Dean P. Foster, Daniel N. Hill, Inderjit S. Dhillon
2020	A*	`conf`	Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions. NeurIPS Matthew Faw, Rajat Sen, Karthikeyan Shanmugam, Constantine Caramanis, Sanjay Shakkottai
2020	J	`jnl`	Session-Aware Query Auto-completion using Extreme Multi-label Ranking. CoRR Nishant Yadav, Rajat Sen, Daniel N. Hill, Arya Mazumdar, Inderjit S. Dhillon
2019	A*	`conf`	Blocking Bandits. NeurIPS Soumya Basu, Rajat Sen, Sujay Sanghavi, Sanjay Shakkottai
2019	J	`jnl`	Blocking Bandits. CoRR Soumya Basu, Rajat Sen, Sujay Sanghavi, Sanjay Shakkottai
2019	—	`conf`	Importance Weighted Generative Networks. ECML/PKDD (2) Maurice Diesendruck, Ethan R. Elenberg, Rajat Sen, Guy W. Cole, Sanjay Shakkottai, Sinead A. Williamson
2019	J	`jnl`	Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions. CoRR Matthew Faw, Rajat Sen, Karthikeyan Shanmugam, Constantine Caramanis, Sanjay Shakkottai
2019	A	`conf`	Noisy Blackbox Optimization using Multi-fidelity Queries: A Tree Search Approach. AISTATS Rajat Sen, Kirthevasan Kandasamy, Sanjay Shakkottai
2019	A*	`conf`	Online Channel-state Clustering And Multiuser Capacity Learning For Wireless Scheduling. INFOCOM Isfar Tariq, Rajat Sen, Gustavo de Veciana, Sanjay Shakkottai
2019	A*	`conf`	Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting. NeurIPS Rajat Sen, Hsiang-Fu Yu, Inderjit S. Dhillon
2019	J	`jnl`	Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting. CoRR Rajat Sen, Hsiang-Fu Yu, Inderjit S. Dhillon
2018	A	`conf`	Contextual Bandits with Stochastic Experts. AISTATS Rajat Sen, Karthikeyan Shanmugam, Sanjay Shakkottai
2018	J	`jnl`	Contextual Bandits with Stochastic Experts. CoRR Rajat Sen, Karthikeyan Shanmugam, Sanjay Shakkottai
2018	J	`jnl`	Importance weighted generative networks. CoRR Maurice Diesendruck, Ethan R. Elenberg, Rajat Sen, Guy W. Cole, Sanjay Shakkottai, Sinead A. Williamson
2018	J	`jnl`	Mimic and Classify : A meta-algorithm for Conditional Independence Testing. CoRR Rajat Sen, Karthikeyan Shanmugam, Himanshu Asnani, Arman Rahimzamani, Sreeram Kannan
2018	A*	`conf`	Multi-Fidelity Black-Box Optimization with Hierarchical Partitions. ICML Rajat Sen, Kirthevasan Kandasamy, Sanjay Shakkottai
2018	J	`jnl`	Noisy Blackbox Optimization with Multi-Fidelity Queries: A Tree Search Approach. CoRR Rajat Sen, Kirthevasan Kandasamy, Sanjay Shakkottai
2017	J	`jnl`	Causal Best Intervention Identification via Importance Sampling. CoRR Rajat Sen, Karthikeyan Shanmugam, Alexandros G. Dimakis, Sanjay Shakkottai
2017	J	`jnl`	Comprehensive design methodology for control and data planes in wavelength-routed optical networks. Photonic Netw. Commun. Gitanjali Chandwani, Rajat Sen, Debasish Datta
2017	A	`conf`	Contextual Bandits with Latent Confounders: An NMF Approach. AISTATS Rajat Sen, Karthikeyan Shanmugam, Murat Kocaoglu, Alexandros G. Dimakis, Sanjay Shakkottai
2017	A*	`conf`	Identifying Best Interventions through Online Importance Sampling. ICML Rajat Sen, Karthikeyan Shanmugam, Alexandros G. Dimakis, Sanjay Shakkottai
2017	—	`conf`	Model-Powered Conditional Independence Test. NIPS Rajat Sen, Ananda Theertha Suresh, Karthikeyan Shanmugam, Alexandros G. Dimakis, Sanjay Shakkottai
2017	J	`jnl`	Model-Powered Conditional Independence Test. CoRR Rajat Sen, Ananda Theertha Suresh, Karthikeyan Shanmugam, Alexandros G. Dimakis, Sanjay Shakkottai
2016	J	`jnl`	Detecting Sponsored Recommendations. ACM Trans. Model. Perform. Evaluation Comput. Syst. Subhashini Krishnasamy, Rajat Sen, Sanjay Shakkottai, Sewoong Oh
2016	J	`jnl`	Latent Contextual Bandits: A Non-Negative Matrix Factorization Approach. CoRR Rajat Sen, Karthikeyan Shanmugam, Murat Kocaoglu, Alexandros G. Dimakis, Sanjay Shakkottai
2016	—	`conf`	Regret of Queueing Bandits. NIPS Subhashini Krishnasamy, Rajat Sen, Ramesh Johari, Sanjay Shakkottai
2016	J	`jnl`	Regret of Queueing Bandits. CoRR Subhashini Krishnasamy, Rajat Sen, Ramesh Johari, Sanjay Shakkottai
2015	A*	`conf`	Detecting Sponsored Recommendations. SIGMETRICS Subhashini Krishnasamy, Rajat Sen, Sewoong Oh, Sanjay Shakkottai
2015	J	`jnl`	Detecting Sponsored Recommendations. CoRR Subhashini Krishnasamy, Rajat Sen, Sewoong Oh, Sanjay Shakkottai
2013	C	`conf`	SI-DFA: Sub-expression integrated Deterministic Finite Automata for Deep Packet Inspection. HPSR Ayesha Khalid, Rajat Sen, Anupam Chattopadhyay