Yingxiang Yang
10 papers · 2017–2025 · 5 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (25) π£ Hot Topic Early Bird
π
Century Club Β· Bronze
ποΈ
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Research topics
Machine Learning
(9)
Optimization & Theory
(6)
Artificial Intelligence
(4)
Mathematics & Optimization
(4)
Optimization
(4)
Natural Language Processing
(3)
Core AI
(3)
Learning Types
(3)
Deep Learning
(2)
Architectures
(2)
Core Methods
(2)
Resources & Methods
(2)
Data Science & Analytics
(1)
Application Areas
(1)
Applications
(1)
Keywords
online learning
(2)
direct preference optimization
(2)
graph matching
(2)
stochastic gradient descent
(1)
hilbert space
(1)
point process
(1)
convex optimization
(1)
language model alignment
(1)
reinforcement learning from human feedback
(1)
posterior distribution
(1)
mirror descent
(1)
reproducing kernel hilbert space
(1)
preference alignment
(1)
nonparametric estimation
(1)
reinforcement learning
(1)
approximate bayesian computation
(1)
generative model
(1)
regret bound
(1)
streaming data
(1)
stochastic optimization
(1)
Papers
Graph-Reward-SQL: Execution-Free Reinforcement Learning for Text-to-SQL via Graph Matching and Stepwise Reward
EMNLP 2025
Reward-Augmented Data Enhances Direct Preference Alignment of LLMs
ICML 2025
Towards Database-Free Text-to-SQL Evaluation: A Graph-Based Metric for Functional Correctness
COLING 2025
Let Models Speak Ciphers: Multiagent Debate through Embeddings
ICLR 2024
Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer
NeurIPS 2024
Fourier Learning with Cyclical Data
ICML 2022
The Devil is in the Detail: A Framework for Macroscopic Prediction via Microscopic Models
NeurIPS 2020
Learning Positive Functions with Pseudo Mirror Descent
NeurIPS 2019
Predictive Approximate Bayesian Computation via Saddle Points
NeurIPS 2018
Online Learning for Multivariate Hawkes Processes
NeurIPS 2017