Sumeet Katariya
18 papers · 2015–2025 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
🗺️ Taxonomy Completionist (36) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
👑
Triple Crown
🏆
Grand Slam
🤝
Dynamic Duo
(10)
🌈
Renaissance Researcher
(5)
💎
Century Club · Bronze
🗃️
Keyword Collector
(86)
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Machine Learning
(17)
Optimization & Theory
(10)
Learning Types
(9)
Mathematics & Optimization
(8)
Optimization
(7)
Artificial Intelligence
(6)
Learning Paradigms
(4)
Bayesian & Probabilistic · Machine Learning
(3)
Core Methods
(3)
Deep Learning
(2)
Reinforcement Learning
(2)
Architectures
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Methods
(2)
Data Science & Analytics
(1)
Keywords
multi-armed bandit
(8)
regret bound
(6)
bandit algorithm
(3)
sample complexity
(3)
online learning
(2)
graph neural network
(2)
upper confidence bound
(2)
bayesian optimization
(2)
ucb algorithm
(2)
bayes regret
(2)
thompson sampling
(2)
probabilistic modeling
(1)
knowledge distillation
(1)
policy learning
(1)
self-supervised learning
(1)
policy evaluation
(1)
logical reasoning
(1)
exploration-exploitation tradeoff
(1)
multivariate gaussian
(1)
false discovery rate
(1)
Papers
Selective Uncertainty Propagation in Offline RL
AAAI 2025
Finite-Time Logarithmic Bayes Regret Upper Bounds
NeurIPS 2023
Meta-Learning for Simple Regret Minimization
AAAI 2023
Mixed-Effect Thompson Sampling
AISTATS 2023
Multi-Task Off-Policy Learning from Bandit Feedback
ICML 2023
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods
ICLR 2022
Deep Hierarchy in Bandits
ICML 2022
Task-Agnostic Graph Explanations
NeurIPS 2022
Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs
NeurIPS 2021
Robust Outlier Arm Identification
ICML 2020
Conservative Exploration using Interleaving
AISTATS 2019
MaxGap Bandit: Adaptive Algorithms for Approximate Ranking
NeurIPS 2019
Adaptive Sampling for Coarse Ranking
AISTATS 2018
Bernoulli Rank-1 Bandits for Click Feedback
IJCAI 2017
Sequential Multiple Hypothesis Testing with Type I Error Control
AISTATS 2017
Stochastic Rank-1 Bandits
AISTATS 2017
DCM Bandits: Learning to Rank with Multiple Clicks
ICML 2016
Sparse Dueling Bandits
AISTATS 2015