Arun Verma
16 papers · 2019–2025 · 7 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (32) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint
🤝
Dynamic Duo
(11)
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Prolific Year · Productive
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Unstoppable · Bronze
💎
Century Club · Bronze
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Keyword Collector
(70)
Top co-authors
Research topics
Machine Learning
(15)
Optimization & Theory · Machine Learning
(12)
Artificial Intelligence
(8)
Learning Types
(7)
Mathematics & Optimization
(6)
Optimization
(6)
Core AI
(5)
Application Areas
(3)
Learning Paradigms
(3)
Deep Learning
(2)
Optimization & Theory · Deep Learning
(2)
Data Science & Analytics
(1)
Applications
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Keywords
regret bound
(8)
multi-armed bandit
(4)
upper confidence bound
(4)
large language model
(3)
unsupervised learning
(2)
bayesian optimization
(2)
neural network
(2)
gaussian process
(2)
thompson sampling
(2)
contextual bandit
(2)
black-box optimization
(1)
quantum computing
(1)
query efficiency
(1)
markov decision process
(1)
token selection
(1)
online learning
(1)
in-context learning
(1)
variance reduction
(1)
knowledge transfer
(1)
active learning
(1)
Papers
Neural Dueling Bandits: Preference-Based Optimization with Human Feedback
ICLR 2025
TETRIS: Optimal Draft Token Selection for Batch Speculative Decoding
ACL 2025
Uncovering Scaling Laws for Large Language Models via Inverse Problems
EMNLP 2025
Position Paper: Data-Centric AI in the Age of Large Language Models
EMNLP 2024
Exploiting Correlated Auxiliary Feedback in Parameterized Bandits
NeurIPS 2023
FAIR: Fair Collaborative Active Learning with Individual Rationality for Scientific Discovery
AISTATS 2023
Federated Neural Bandits
ICLR 2023
Quantum Bayesian Optimization
NeurIPS 2023
Risk-Aware Reinforcement Learning with Coherent Risk Measures and Non-linear Function Approximation
ICLR 2023
Zeroth-Order Optimization with Trajectory-Informed Derivative Estimation
ICLR 2023
Bayesian Optimization under Stochastic Delayed Feedback
ICML 2022
Stochastic Multi-Armed Bandits with Control Variates
NeurIPS 2021
Online Algorithm for Unsupervised Sequential Selection with Contextual Information
NeurIPS 2020
Thompson Sampling for Unsupervised Sequential Selection
ACML 2020
Censored Semi-Bandits: A Framework for Resource Allocation with Censored Feedback
NeurIPS 2019
Online Algorithm for Unsupervised Sensor Selection
AISTATS 2019