Nuoya Xiong

7 papers · 2023–2025 · 4 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

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (14)

Venues

ICLR (3) ICML (2) ACML (1) NeurIPS (1)

Top co-authors

Zhaoran Wang (2) Wei Chen (2) Zhuoran Yang (2) Simon Shaolei Du (1) Longbo Huang (1) Lijun Ding (1) Aarti Singh (1) Yihan Du (1) Zhihan Liu (1) Shi Feng (1)

Research topics

Machine Learning (7) Optimization & Theory (6) Artificial Intelligence (4) Reinforcement Learning (4) Core AI (4) Methods (3) Applications (2) Learning Types (2) Mathematics & Optimization (1) Optimization (1)

Keywords

sample complexity (2) causal graph (2) regret bound (2) nash equilibrium (1) gradient descent (1) batch learning (1) low-rank matrix (1) graph skeleton (1) linear convergence (1) safe reinforcement learning (1) convergence rate (1) generalized linear model (1) sublinear regret (1) matrix sensing (1) correlated equilibrium (1) pure exploration (1) markov game (1) pareto optimal (1) causal bandit (1) safe exploration (1)

Papers

Projection Optimization: A General Framework for Multi-Objective and Multi-Group RLHF ICML 2025 A General Framework for Sequential Decision-Making under Adaptivity Constraints ICML 2024 Combinatorial Causal Bandits without Graph Skeleton ACML 2024 How Over-Parameterization Slows Down Gradient Descent in Matrix Sensing: The Curses of Symmetry and Initialization ICLR 2024 Sample-Efficient Multi-Agent RL: An Optimization Perspective ICLR 2024 Combinatorial Pure Exploration of Causal Bandits ICLR 2023 Provably Safe Reinforcement Learning with Step-wise Violation Constraints NeurIPS 2023