Rajat Sen

Orcid: 0000-0003-4677-643X

According to our database1, Rajat Sen authored at least 39 papers between 2013 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
A Combinatorial Approach to Robust PCA.
Proceedings of the 15th Innovations in Theoretical Computer Science Conference, 2024

2023
Transformers can optimally learn regression mixture models.
CoRR, 2023

A decoder-only foundation model for time-series forecasting.
CoRR, 2023

Linear Regression using Heterogeneous Data Batches.
CoRR, 2023

Long-term Forecasting with TiDE: Time-series Dense Encoder.
CoRR, 2023

Dirichlet Proportions Model for Hierarchically Coherent Probabilistic Forecasting.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Blackbox optimization of unimodal functions.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Efficient List-Decodable Regression using Batches.
Proceedings of the International Conference on Machine Learning, 2023

2022
Trimmed Maximum Likelihood Estimation for Robust Learning in Generalized Linear Models.
CoRR, 2022

A Top-Down Approach to Hierarchically Coherent Probabilistic Forecasting.
CoRR, 2022

Trimmed Maximum Likelihood Estimation for Robust Generalized Linear Model.
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.
Proceedings of the International Conference on Machine Learning, 2022

On the benefits of maximum likelihood estimation for Regression and Forecasting.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Auto-Tuning for Cellular Scheduling Through Bandit-Learning and Low-Dimensional Clustering.
IEEE/ACM Trans. Netw., 2021

Learning Unknown Service Rates in Queues: A Multiarmed Bandit Approach.
Oper. Res., 2021

Cluster-and-Conquer: A Framework For Time-Series Forecasting.
CoRR, 2021

Hierarchically Regularized Deep Forecasting.
CoRR, 2021

Top-k eXtreme Contextual Bandits with Arm Hierarchy.
CoRR, 2021

Session-Aware Query Auto-completion using Extreme Multi-Label Ranking.
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.
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.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Importance Weighted Generative Networks.
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.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Blocking Bandits.
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.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Noisy Blackbox Optimization using Multi-fidelity Queries: A Tree Search Approach.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Noisy Blackbox Optimization with Multi-Fidelity Queries: A Tree Search Approach.
CoRR, 2018

Mimic and Classify : A meta-algorithm for Conditional Independence Testing.
CoRR, 2018

Multi-Fidelity Black-Box Optimization with Hierarchical Partitions.
Proceedings of the 35th International Conference on Machine Learning, 2018

Contextual Bandits with Stochastic Experts.
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.
Photonic Netw. Commun., 2017

Causal Best Intervention Identification via Importance Sampling.
CoRR, 2017

Model-Powered Conditional Independence Test.
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.
Proceedings of the 34th International Conference on Machine Learning, 2017

Contextual Bandits with Latent Confounders: An NMF Approach.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Detecting Sponsored Recommendations.
ACM Trans. Model. Perform. Evaluation Comput. Syst., 2016

Latent Contextual Bandits: A Non-Negative Matrix Factorization Approach.
CoRR, 2016

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


  Loading...