Rajat Sen

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 52

Top Topics

Maximum Likelihood Estimation

Matrix Factorization

Top Venues

Publications

Weihao Kong, Mingda Qiao, Rajat Sen
A Combinatorial Approach to Robust PCA. ITCS (2024)
Reese Pathak, Rajat Sen, Weihao Kong, Abhimanyu Das
Transformers can optimally learn regression mixture models. ICLR (2024)
Ashok Cutkosky, Abhimanyu Das, Weihao Kong, Chansoo Lee, Rajat Sen
Blackbox optimization of unimodal functions. UAI (2023)
Abhimanyu Das, Weihao Kong, Andrew Leach, Shaan Mathur, Rajat Sen, Rose Yu
Long-term Forecasting with TiDE: Time-series Dense Encoder. CoRR (2023)
Abhimanyu Das, Weihao Kong, Rajat Sen, Yichen Zhou
A decoder-only foundation model for time-series forecasting. CoRR (2023)
Reese Pathak, Rajat Sen, Weihao Kong, Abhimanyu Das
Transformers can optimally learn regression mixture models. CoRR (2023)
Abhimanyu Das, Weihao Kong, Biswajit Paria, Rajat Sen
Dirichlet Proportions Model for Hierarchically Coherent Probabilistic Forecasting. UAI (2023)
Abhimanyu Das, Weihao Kong, Andrew Leach, Shaan Mathur, Rajat Sen, Rose Yu
Long-term Forecasting with TiDE: Time-series Dense Encoder. Trans. Mach. Learn. Res. 2023 (2023)
Weihao Kong, Mingda Qiao, Rajat Sen
A Combinatorial Approach to Robust PCA. CoRR (2023)
Ayush Jain, Rajat Sen, Weihao Kong, Abhimanyu Das, Alon Orlitsky
Linear Regression using Heterogeneous Data Batches. CoRR (2023)
Abhimanyu Das, Ayush Jain, Weihao Kong, Rajat Sen
Efficient List-Decodable Regression using Batches. ICML (2023)
Avishek Ghosh, Arya Mazumdar, Soumyabrata Pal, Rajat Sen
On Learning Mixture of Linear Regressions in the Non-Realizable Setting. CoRR (2022)
Abhimanyu Das, Ayush Jain, Weihao Kong, Rajat Sen
Efficient List-Decodable Regression using Batches. CoRR (2022)
Pranjal Awasthi, Abhimanyu Das, Rajat Sen, Ananda Theertha Suresh
On the benefits of maximum likelihood estimation for Regression and Forecasting. ICLR (2022)
Abhimanyu Das, Weihao Kong, Biswajit Paria, Rajat Sen
A Top-Down Approach to Hierarchically Coherent Probabilistic Forecasting. CoRR (2022)
Weihao Kong, Rajat Sen, Pranjal Awasthi, Abhimanyu Das
Trimmed Maximum Likelihood Estimation for Robust Learning in Generalized Linear Models. CoRR (2022)
Pranjal Awasthi, Abhimanyu Das, Weihao Kong, Rajat Sen
Trimmed Maximum Likelihood Estimation for Robust Generalized Linear Model. NeurIPS (2022)
Soumyabrata Pal, Arya Mazumdar, Rajat Sen, Avishek Ghosh
On Learning Mixture of Linear Regressions in the Non-Realizable Setting. ICML (2022)
Pranjal Awasthi, Abhimanyu Das, Rajat Sen, Ananda Theertha Suresh
On the benefits of maximum likelihood estimation for Regression and Forecasting. CoRR (2021)
Reese Pathak, Rajat Sen, Nikhil Rao, N. Benjamin Erichson, Michael I. Jordan, Inderjit S. Dhillon
Cluster-and-Conquer: A Framework For Time-Series Forecasting. CoRR (2021)
Rajat Sen, Alexander Rakhlin, Lexing Ying, Rahul Kidambi, Dean P. Foster, Daniel N. Hill, Inderjit S. Dhillon
Top-k eXtreme Contextual Bandits with Arm Hierarchy. CoRR (2021)
Subhashini Krishnasamy, Rajat Sen, Ramesh Johari, Sanjay Shakkottai
Learning Unknown Service Rates in Queues: A Multiarmed Bandit Approach. Oper. Res. 69 (1) (2021)
Rajat Sen, Alexander Rakhlin, Lexing Ying, Rahul Kidambi, Dean Foster, Daniel N. Hill, Inderjit S. Dhillon
Top-k eXtreme Contextual Bandits with Arm Hierarchy. ICML (2021)
Nishant Yadav, Rajat Sen, Daniel N. Hill, Arya Mazumdar, Inderjit S. Dhillon
Session-Aware Query Auto-completion using Extreme Multi-Label Ranking. KDD (2021)
Biswajit Paria, Rajat Sen, Amr Ahmed, Abhimanyu Das
Hierarchically Regularized Deep Forecasting. CoRR (2021)
Isfar Tariq, Rajat Sen, Thomas David Novlan, Salam Akoum, Milap Majmundar, Gustavo de Veciana, Sanjay Shakkottai
Auto-Tuning for Cellular Scheduling Through Bandit-Learning and Low-Dimensional Clustering. IEEE/ACM Trans. Netw. 29 (5) (2021)
Matthew Faw, Rajat Sen, Karthikeyan Shanmugam, Constantine Caramanis, Sanjay Shakkottai
Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions. NeurIPS (2020)
Nishant Yadav, Rajat Sen, Daniel N. Hill, Arya Mazumdar, Inderjit S. Dhillon
Session-Aware Query Auto-completion using Extreme Multi-label Ranking. CoRR (2020)
Rajat Sen, Kirthevasan Kandasamy, Sanjay Shakkottai
Noisy Blackbox Optimization using Multi-fidelity Queries: A Tree Search Approach. AISTATS (2019)
Matthew Faw, Rajat Sen, Karthikeyan Shanmugam, Constantine Caramanis, Sanjay Shakkottai
Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions. CoRR (2019)
Rajat Sen, Hsiang-Fu Yu, Inderjit S. Dhillon
Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting. NeurIPS (2019)
Isfar Tariq, Rajat Sen, Gustavo de Veciana, Sanjay Shakkottai
Online Channel-state Clustering And Multiuser Capacity Learning For Wireless Scheduling. INFOCOM (2019)
Rajat Sen, Hsiang-Fu Yu, Inderjit S. Dhillon
Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting. CoRR (2019)
Maurice Diesendruck, Ethan R. Elenberg, Rajat Sen, Guy W. Cole, Sanjay Shakkottai, Sinead A. Williamson
Importance Weighted Generative Networks. ECML/PKDD (2) (2019)
Soumya Basu, Rajat Sen, Sujay Sanghavi, Sanjay Shakkottai
Blocking Bandits. CoRR (2019)
Soumya Basu, Rajat Sen, Sujay Sanghavi, Sanjay Shakkottai
Blocking Bandits. NeurIPS (2019)
Rajat Sen, Karthikeyan Shanmugam, Sanjay Shakkottai
Contextual Bandits with Stochastic Experts. CoRR (2018)
Rajat Sen, Karthikeyan Shanmugam, Himanshu Asnani, Arman Rahimzamani, Sreeram Kannan
Mimic and Classify : A meta-algorithm for Conditional Independence Testing. CoRR (2018)
Rajat Sen, Karthikeyan Shanmugam, Sanjay Shakkottai
Contextual Bandits with Stochastic Experts. AISTATS (2018)
Maurice Diesendruck, Ethan R. Elenberg, Rajat Sen, Guy W. Cole, Sanjay Shakkottai, Sinead A. Williamson
Importance weighted generative networks. CoRR (2018)
Rajat Sen, Kirthevasan Kandasamy, Sanjay Shakkottai
Multi-Fidelity Black-Box Optimization with Hierarchical Partitions. ICML (2018)
Rajat Sen, Kirthevasan Kandasamy, Sanjay Shakkottai
Noisy Blackbox Optimization with Multi-Fidelity Queries: A Tree Search Approach. CoRR (2018)
Gitanjali Chandwani, Rajat Sen, Debasish Datta
Comprehensive design methodology for control and data planes in wavelength-routed optical networks. Photonic Netw. Commun. 33 (3) (2017)
Rajat Sen, Ananda Theertha Suresh, Karthikeyan Shanmugam, Alexandros G. Dimakis, Sanjay Shakkottai
Model-Powered Conditional Independence Test. NIPS (2017)
Rajat Sen, Karthikeyan Shanmugam, Alexandros G. Dimakis, Sanjay Shakkottai
Causal Best Intervention Identification via Importance Sampling. CoRR (2017)
Rajat Sen, Karthikeyan Shanmugam, Murat Kocaoglu, Alexandros G. Dimakis, Sanjay Shakkottai
Contextual Bandits with Latent Confounders: An NMF Approach. AISTATS (2017)
Rajat Sen, Karthikeyan Shanmugam, Alexandros G. Dimakis, Sanjay Shakkottai
Identifying Best Interventions through Online Importance Sampling. ICML (2017)
Rajat Sen, Ananda Theertha Suresh, Karthikeyan Shanmugam, Alexandros G. Dimakis, Sanjay Shakkottai
Model-Powered Conditional Independence Test. CoRR (2017)
Subhashini Krishnasamy, Rajat Sen, Sanjay Shakkottai, Sewoong Oh
Detecting Sponsored Recommendations. ACM Trans. Model. Perform. Evaluation Comput. Syst. 2 (1) (2016)
Subhashini Krishnasamy, Rajat Sen, Ramesh Johari, Sanjay Shakkottai
Regret of Queueing Bandits. NIPS (2016)
Rajat Sen, Karthikeyan Shanmugam, Murat Kocaoglu, Alexandros G. Dimakis, Sanjay Shakkottai
Latent Contextual Bandits: A Non-Negative Matrix Factorization Approach. CoRR (2016)
Subhashini Krishnasamy, Rajat Sen, Ramesh Johari, Sanjay Shakkottai
Regret of Queueing Bandits. CoRR (2016)
Subhashini Krishnasamy, Rajat Sen, Sewoong Oh, Sanjay Shakkottai
Detecting Sponsored Recommendations. CoRR (2015)
Subhashini Krishnasamy, Rajat Sen, Sewoong Oh, Sanjay Shakkottai
Detecting Sponsored Recommendations. SIGMETRICS (2015)
Ayesha Khalid, Rajat Sen, Anupam Chattopadhyay
SI-DFA: Sub-expression integrated Deterministic Finite Automata for Deep Packet Inspection. HPSR (2013)