Rajat Sen

According to our database, Rajat Sen authored at least 39 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Bandits with Stochastic Experts: Constant Regret, Empirical Experts and Episodes.

Nihal Sharma, Rajat Sen, Soumya Basu, Karthikeyan Shanmugam, Sanjay Shakkottai

ACM Trans. Model. Perform. Evaluation Comput. Syst., September, 2024

A Combinatorial Approach to Robust PCA.

Weihao Kong, Mingda Qiao, Rajat Sen

Proceedings of the 15th Innovations in Theoretical Computer Science Conference, 2024

A decoder-only foundation model for time-series forecasting.

Abhimanyu Das, Weihao Kong, Rajat Sen, Yichen Zhou

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Transformers can optimally learn regression mixture models.

Reese Pathak, Rajat Sen, Weihao Kong, Abhimanyu Das

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Long-term Forecasting with TiDE: Time-series Dense Encoder.

Abhimanyu Das, Weihao Kong, Andrew Leach, Shaan Mathur, Rajat Sen, Rose Yu

Trans. Mach. Learn. Res., 2023

Linear Regression using Heterogeneous Data Batches.

Ayush Jain, Rajat Sen, Weihao Kong, Abhimanyu Das, Alon Orlitsky

CoRR, 2023

Dirichlet Proportions Model for Hierarchically Coherent Probabilistic Forecasting.

Abhimanyu Das, Weihao Kong, Biswajit Paria, Rajat Sen

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Blackbox optimization of unimodal functions.

Ashok Cutkosky, Abhimanyu Das, Weihao Kong, Chansoo Lee, Rajat Sen

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Efficient List-Decodable Regression using Batches.

Abhimanyu Das, Ayush Jain, Weihao Kong, Rajat Sen

Proceedings of the International Conference on Machine Learning, 2023

2022

Trimmed Maximum Likelihood Estimation for Robust Learning in Generalized Linear Models.

Weihao Kong, Rajat Sen, Pranjal Awasthi, Abhimanyu Das

CoRR, 2022

A Top-Down Approach to Hierarchically Coherent Probabilistic Forecasting.

Abhimanyu Das, Weihao Kong, Biswajit Paria, Rajat Sen

CoRR, 2022

Trimmed Maximum Likelihood Estimation for Robust Generalized Linear Model.

Pranjal Awasthi, Abhimanyu Das, Weihao Kong, Rajat Sen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On Learning Mixture of Linear Regressions in the Non-Realizable Setting.

Soumyabrata Pal, Arya Mazumdar, Rajat Sen, Avishek Ghosh

Proceedings of the International Conference on Machine Learning, 2022

On the benefits of maximum likelihood estimation for Regression and Forecasting.

Pranjal Awasthi, Abhimanyu Das, Rajat Sen, Ananda Theertha Suresh

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Auto-Tuning for Cellular Scheduling Through Bandit-Learning and Low-Dimensional Clustering.

Isfar Tariq, Rajat Sen, Thomas David Novlan, Salam Akoum, Milap Majmundar, Gustavo de Veciana, Sanjay Shakkottai

IEEE/ACM Trans. Netw., 2021

Learning Unknown Service Rates in Queues: A Multiarmed Bandit Approach.

Subhashini Krishnasamy, Rajat Sen, Ramesh Johari, Sanjay Shakkottai

Oper. Res., 2021

Cluster-and-Conquer: A Framework For Time-Series Forecasting.

Reese Pathak, Rajat Sen, Nikhil Rao, N. Benjamin Erichson, Michael I. Jordan, Inderjit S. Dhillon

CoRR, 2021

Hierarchically Regularized Deep Forecasting.

Biswajit Paria, Rajat Sen, Amr Ahmed, Abhimanyu Das

CoRR, 2021

Session-Aware Query Auto-completion using Extreme Multi-Label Ranking.

Nishant Yadav, Rajat Sen, Daniel N. Hill, Arya Mazumdar, Inderjit S. Dhillon

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Top-k eXtreme Contextual Bandits with Arm Hierarchy.

Rajat Sen, Alexander Rakhlin, Lexing Ying, Rahul Kidambi, Dean P. Foster, Daniel N. Hill, Inderjit S. Dhillon

Proceedings of the 38th International Conference on Machine Learning, 2021

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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Importance Weighted Generative Networks.

Maurice Diesendruck, Ethan R. Elenberg, Rajat Sen, Guy W. Cole, Sanjay Shakkottai, Sinead A. Williamson

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting.

Rajat Sen, Hsiang-Fu Yu, Inderjit S. Dhillon

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Blocking Bandits.

Soumya Basu, Rajat Sen, Sujay Sanghavi, Sanjay Shakkottai

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Online Channel-state Clustering And Multiuser Capacity Learning For Wireless Scheduling.

Isfar Tariq, Rajat Sen, Gustavo de Veciana, Sanjay Shakkottai

Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Noisy Blackbox Optimization using Multi-fidelity Queries: A Tree Search Approach.

Rajat Sen, Kirthevasan Kandasamy, Sanjay Shakkottai

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Noisy Blackbox Optimization with Multi-Fidelity Queries: A Tree Search Approach.

Rajat Sen, Kirthevasan Kandasamy, Sanjay Shakkottai

CoRR, 2018

Mimic and Classify : A meta-algorithm for Conditional Independence Testing.

Rajat Sen, Karthikeyan Shanmugam, Himanshu Asnani, Arman Rahimzamani, Sreeram Kannan

CoRR, 2018

Multi-Fidelity Black-Box Optimization with Hierarchical Partitions.

Rajat Sen, Kirthevasan Kandasamy, Sanjay Shakkottai

Proceedings of the 35th International Conference on Machine Learning, 2018

Contextual Bandits with Stochastic Experts.

Rajat Sen, Karthikeyan Shanmugam, Sanjay Shakkottai

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Comprehensive design methodology for control and data planes in wavelength-routed optical networks.

Gitanjali Chandwani, Rajat Sen, Debasish Datta

Photonic Netw. Commun., 2017

Causal Best Intervention Identification via Importance Sampling.

Rajat Sen, Karthikeyan Shanmugam, Alexandros G. Dimakis, Sanjay Shakkottai

CoRR, 2017

Model-Powered Conditional Independence Test.

Rajat Sen, Ananda Theertha Suresh, Karthikeyan Shanmugam, Alexandros G. Dimakis, Sanjay Shakkottai

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Identifying Best Interventions through Online Importance Sampling.

Rajat Sen, Karthikeyan Shanmugam, Alexandros G. Dimakis, Sanjay Shakkottai

Proceedings of the 34th International Conference on Machine Learning, 2017

Contextual Bandits with Latent Confounders: An NMF Approach.

Rajat Sen, Karthikeyan Shanmugam, Murat Kocaoglu, Alexandros G. Dimakis, Sanjay Shakkottai

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Detecting Sponsored Recommendations.

Subhashini Krishnasamy, Rajat Sen, Sanjay Shakkottai, Sewoong Oh

ACM Trans. Model. Perform. Evaluation Comput. Syst., 2016

Latent Contextual Bandits: A Non-Negative Matrix Factorization Approach.

Rajat Sen, Karthikeyan Shanmugam, Murat Kocaoglu, Alexandros G. Dimakis, Sanjay Shakkottai

CoRR, 2016

Regret of Queueing Bandits.

Subhashini Krishnasamy, Rajat Sen, Ramesh Johari, Sanjay Shakkottai

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2013

SI-DFA: Sub-expression integrated Deterministic Finite Automata for Deep Packet Inspection.

Ayesha Khalid, Rajat Sen, Anupam Chattopadhyay

Proceedings of the IEEE 14th International Conference on High Performance Switching and Routing, 2013