Haoyuan Hu
8 papers · 2019–2026 · 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 ↓+1 more ↓ Show less ↑
🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (19) 🐣 Hot Topic Early Bird
🌈
Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(6)
Mathematics & Optimization
(4)
Optimization
(4)
Optimization & Theory
(4)
Artificial Intelligence
(2)
Core AI
(2)
Learning Types
(2)
Data Science & Analytics
(1)
Deep Learning
(1)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Applications · Data Science & Analytics
(1)
Applications · Natural Language Processing
(1)
Architectures
(1)
Core Methods
(1)
Keywords
regret bound
(3)
stochastic gradient
(2)
non-convex optimization
(1)
online learning
(1)
bandit feedback
(1)
mathematical reasoning
(1)
continuous optimization
(1)
expectation maximization
(1)
resource allocation
(1)
variance reduction
(1)
multi-agent reinforcement learning
(1)
condition number
(1)
online allocation
(1)
stochastic optimization
(1)
online algorithm
(1)
accelerated method
(1)
markov game
(1)
cooperative multi-agent
(1)
competitive ratio
(1)
submodular optimization
(1)
Papers
StepHint: Multi-level Stepwise Hints Enhance Reinforcement Learning to Reason
ACL 2026
Dr3: Ask Large Language Models Not to Give Off-Topic Answers in Open Domain Multi-Hop Question Answering
COLING 2024
GMDNet: A Graph-Based Mixture Density Network for Estimating Packages’ Multimodal Travel Time Distribution
AAAI 2023
Nearly Optimal Competitive Ratio for Online Allocation Problems with Two-sided Resource Constraints and Finite Requests
ICML 2023
OFCOURSE: A Multi-Agent Reinforcement Learning Environment for Order Fulfillment
NeurIPS 2023
Online Learning for Non-monotone DR-Submodular Maximization: From Full Information to Bandit Feedback
AISTATS 2023
Stochastic Continuous Submodular Maximization: Boosting via Non-oblivious Function
ICML 2022
Katalyst: Boosting Convex Katayusha for Non-Convex Problems with a Large Condition Number
ICML 2019