Yaoliang Yu

TreeGrad-Ranker: Feature Ranking via $O(L)$-Time Gradients for Decision Trees

SFBD-OMNI: Bridge models for lossy measurement restoration with limited clean samples

Not All Samples Are Equal: Quantifying Instance-level Difficulty in Targeted Data Poisoning

A Unifying Framework for Gradient Aggregation in Multi-Objective Optimization

MAVEN-T: Breaking the Imitation Ceiling in Trajectory Prediction with Reinforced Distillation

DiffBreak: Is Diffusion-Based Purification Robust?

Stochastic Forward–Backward Deconvolution: Training Diffusion Models with Finite Noisy Datasets

Uncoupled and Convergent Learning in Monotone Games under Bandit Feedback

BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection

A Comprehensive Framework for Analyzing the Convergence of Adam: Bridging the Gap with SGD

Adaptive Context Length Optimization with Low-Frequency Truncation for Multi-Agent Reinforcement Learning

Leveraging Variable Sparsity to Refine Pareto Stationarity in Multi-Objective Optimization

Machine Unlearning for Contrastive Learning under Auditing

No-Regret and Incentive-Compatible Combinatorial Online Prediction

Uncoupled and Convergent Learning in Monotone Games under Bandit Feedback

A Comprehensive Framework for Analyzing the Convergence of Adam: Bridging the Gap with Stochastic Gradient Descent