Rahul Singh
15 papers · 2013–2026 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (37) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Champion
(2)
π
Renaissance Researcher
(5)
β‘
Prolific Year Β· Productive
π
Conference Pioneer
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(73)
Top co-authors
Research topics
Machine Learning
(11)
Learning Types
(7)
Optimization & Theory
(6)
Artificial Intelligence
(5)
Reinforcement Learning
(5)
Mathematics & Optimization
(4)
Core AI
(4)
Methods
(4)
Optimization
(4)
Deep Learning
(3)
Natural Language Processing
(3)
Applications Β· Natural Language Processing
(3)
Robotics
(2)
Application Areas
(2)
Applications Β· Reinforcement Learning
(2)
Keywords
regret bound
(6)
markov decision process
(3)
policy gradient
(2)
named entity recognition
(2)
adaptive discretization
(2)
distributional reinforcement learning
(2)
adaptive control
(2)
transformer model
(2)
zooming dimension
(2)
average-reward reinforcement learning
(2)
covariance estimation
(1)
bert model
(1)
text representation
(1)
text classification
(1)
reinforcement learning
(1)
parallel corpus
(1)
nonparametric regression
(1)
sample efficiency
(1)
reproducing kernel hilbert space
(1)
exploration-exploitation tradeoff
(1)
Papers
Policy Zooming: Adaptive Discretization-based Infinite-Horizon Average-Reward Reinforcement Learning
AAAI 2026
On the Utility of Equal Batch Sizes for Inference in Stochastic Gradient Descent
JMLR 2025
Provably Adaptive Average Reward Reinforcement Learning for Metric Spaces
UAI 2025
Finite Time Logarithmic Regret Bounds for Self-Tuning Regulation
ICML 2024
Augmented RBMLE-UCB Approach for Adaptive Control of Linear Quadratic Systems
NeurIPS 2022
CNLP-NITS-PP at MixMT 2022: Hinglish-English Code-Mixed Machine Translation
EMNLP 2022
CNLP-NITS-PP at WANLP 2022 Shared Task: Propaganda Detection in Arabic using Data Augmentation and AraBERT Pre-trained Model
EMNLP 2022
Investigation of English to Hindi Multimodal Neural Machine Translation using Transliteration-based Phrase Pairs Augmentation
COLING 2022
Reinforcement Learning Augmented Asymptotically Optimal Index Policy for Finite-Horizon Restless Bandits
AAAI 2022
Sample-based Distributional Policy Gradient
L4DC 2022
Reward Biased Maximum Likelihood Estimation for Reinforcement Learning
L4DC 2021
CiteQA@CLSciSumm 2020
EMNLP 2020
Improving Robustness via Risk Averse Distributional Reinforcement Learning
L4DC 2020
Kernel Instrumental Variable Regression
NeurIPS 2019
Yank: Enabling Green Data Centers to Pull the Plug
NSDI 2013