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Tianbao Yang

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 14, 2026, 9:46 PM AMS

25

papers

603

total citations

papers (25)

Large-Scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification

A Decentralized Parallel Algorithm for Training Generative Adversarial Nets

NEURIPS 2020arXiv

Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence

NEURIPS 2021arXiv

An Online Method for A Class of Distributionally Robust Optimization with Non-convex Objectives

NEURIPS 2021arXiv

Revisiting Smoothed Online Learning

NEURIPS 2021arXiv

A Simple and Effective Framework for Pairwise Deep Metric Learning

Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning

NEURIPS 2021arXiv

Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization

NEURIPS 2022arXiv

Multi-block Min-max Bilevel Optimization with Applications in Multi-task Deep AUC Maximization

NEURIPS 2022arXiv

Large-scale Optimization of Partial AUC in a Range of False Positive Rates

NEURIPS 2022arXiv

Optimal Epoch Stochastic Gradient Descent Ascent Methods for Min-Max Optimization

NEURIPS 2020arXiv

Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor

NEURIPS 2022arXiv

DisCO: Reinforcing Large Reasoning Models with Discriminative Constrained Optimization

NEURIPS 2025arXiv

Federated Compositional Deep AUC Maximization

NEURIPS 2023arXiv

Non-Smooth Weakly-Convex Finite-sum Coupled Compositional Optimization

NEURIPS 2023arXiv

Online Convex Optimization with Continuous Switching Constraint

NEURIPS 2021arXiv

Improved Schemes for Episodic Memory-based Lifelong Learning

NEURIPS 2020arXiv

To Cool or not to Cool? Temperature Network Meets Large Foundation Models via DRO

SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data

NEURIPS 2023arXiv

Stability and Generalization of Stochastic Compositional Gradient Descent Algorithms

Discovering Global False Negatives On the Fly for Self-supervised Contrastive Learning

Stochastic Approximation Approaches to Group Distributionally Robust Optimization

NEURIPS 2023arXiv

A Near-Optimal Single-Loop Stochastic Algorithm for Convex Finite-Sum Coupled Compositional Optimization

Maximization of Average Precision for Deep Learning with Adversarial Ranking Robustness

Accelerating Deep Learning with Millions of Classes