Rajat Sen
19 papers · 2016–2025 · 4 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
π Academic Marathon (9) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (4) π Cross-Pollinator (9)
π
Academic Marathon
(9)
πΊοΈ
Taxonomy Completionist
(27)
π
Cross-Pollinator
(9)
π
Triple Crown
π
Keyword Champion
(2)
π
Century Club
(19)
ποΈ
Keyword Collector
(82)
π₯
Unstoppable
(10)
Conferences
ICML (7)
NIPS (7)
AISTATS (3)
ICLR (2)
Top co-authors
Research topics
Keywords
regret bound
(6)
online learning
(3)
contextual bandit
(3)
multi-armed bandit
(3)
stochastic optimization
(2)
black-box optimization
(2)
importance sampling
(2)
regret minimization
(2)
multi-fidelity optimization
(2)
linear regression
(2)
causal inference
(2)
hierarchical partitioning
(2)
expectation maximization
(1)
sample complexity
(1)
robust statistics
(1)
multi-label classification
(1)
parameter estimation
(1)
nearest neighbor
(1)
matrix factorization
(1)
adversarial robustness
(1)
Papers
In-Context Fine-Tuning for Time-Series Foundation Models
ICML 2025
Transformers can optimally learn regression mixture models
ICLR 2024
Linear Regression using Heterogeneous Data Batches
NIPS 2024
A decoder-only foundation model for time-series forecasting
ICML 2024
Efficient List-Decodable Regression using Batches
ICML 2023
On Learning Mixture of Linear Regressions in the Non-Realizable Setting
ICML 2022
Trimmed Maximum Likelihood Estimation for Robust Generalized Linear Model
NIPS 2022
On the benefits of maximum likelihood estimation for Regression and Forecasting
ICLR 2022
Top-k eXtreme Contextual Bandits with Arm Hierarchy
ICML 2021
Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions
NIPS 2020
Noisy Blackbox Optimization using Multi-fidelity Queries: A Tree Search Approach
AISTATS 2019
Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting
NIPS 2019
Blocking Bandits
NIPS 2019
Multi-Fidelity Black-Box Optimization with Hierarchical Partitions
ICML 2018
Contextual Bandits with Stochastic Experts
AISTATS 2018
Identifying Best Interventions through Online Importance Sampling
ICML 2017
Contextual Bandits with Latent Confounders: An NMF Approach
AISTATS 2017
Model-Powered Conditional Independence Test
NIPS 2017
Regret of Queueing Bandits
NIPS 2016