Kaixuan Huang
17 papers · 2020–2025 · 6 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
(11)
Machine Learning
(9)
Core AI
(9)
Optimization & Theory
(5)
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(4)
Deep Learning
(3)
Reinforcement Learning
(2)
Learning Paradigms
(2)
Methods
(2)
Healthcare & Medicine
(1)
Mathematics & Optimization
(1)
Natural Language Processing
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Clinical
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Keywords
deep reinforcement learning
(2)
large language model
(2)
distribution estimation
(2)
federated learning
(2)
mathematical reasoning
(2)
adversarial robustness
(1)
convergence analysis
(1)
sample efficiency
(1)
direct preference optimization
(1)
markov chain
(1)
stochastic gradient descent
(1)
sample complexity
(1)
deep learning theory
(1)
policy learning
(1)
harmful content
(1)
robustness
(1)
theoretical analysis
(1)
safety alignment
(1)
language model alignment
(1)
policy optimization
(1)
Papers
Deep Reinforcement Learning for Efficient and Fair Allocation of Healthcare Resources
IJCAI 2025
Emergent Symbolic Mechanisms Support Abstract Reasoning in Large Language Models
ICML 2025
MATH-Perturb: Benchmarking LLMsβ Math Reasoning Abilities against Hard Perturbations
ICML 2025
SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal
ICLR 2025
Temporal Consistency for LLM Reasoning Process Error Identification
EMNLP 2025
TreeBoN: Enhancing Inference-Time Alignment with Speculative Tree-Search and Best-of-N Sampling
EMNLP 2025
Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications
ICML 2024
A Theoretical Perspective for Speculative Decoding Algorithm
NeurIPS 2024
Visual Adversarial Examples Jailbreak Aligned Large Language Models
AAAI 2024
Deep Reinforcement Learning for Cost-Effective Medical Diagnosis
ICLR 2023
Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement
NeurIPS 2023
Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data
ICML 2023
Fast Federated Learning in the Presence of Arbitrary Device Unavailability
NeurIPS 2021
Going Beyond Linear RL: Sample Efficient Neural Function Approximation
NeurIPS 2021
Optimal Gradient-based Algorithms for Non-concave Bandit Optimization
NeurIPS 2021
On the Convergence of FedAvg on Non-IID Data
ICLR 2020
Why Do Deep Residual Networks Generalize Better than Deep Feedforward Networks? --- A Neural Tangent Kernel Perspective
NeurIPS 2020