Yafei Wang

5 papers · 2021–2025 · 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 (11) 🏆 Keyword Champion (2)

Venues

ICML (2) AAAI (1) ICCV (1) NeurIPS (1)

Top co-authors

Bei Jiang (4) Linglong Kong (4) Bo Pan (3) Shangling Jui (2) Mei Li (1) Bowen Wang (1) Genjia Liu (1) ting li (1) Yi Liu (1) Jianya Lu (1)

Research topics

Machine Learning (4) Optimization & Theory (4) Mathematics & Optimization (2) Optimization (2) Computer Vision (1) Reinforcement Learning (1) Analysis (1) Domain-Specific (1) Methods (1)

Keywords

sample average approximation (2) dependent data (2) deep reinforcement learning (1) stochastic gradient descent (1) convergence analysis (1) sample complexity (1) autonomous driving (1) object tracking (1) policy iteration (1) multi-object tracking (1) fisher information matrix (1) 3d object detection (1) quasi-newton method (1) confidence interval (1) collaborative perception (1) asymptotic consistency (1) monotone operator (1) finite-sample guarantee (1) asymptotic behavior (1) vehicle-infrastructure cooperation (1)

Papers

Differentially Private Analysis for Binary Response Models: Optimality, Estimation, and Inference ICML 2025 V2XScenes: A Multiple Challenging Traffic Conditions Dataset for Large-Range Vehicle-Infrastructure Collaborative Perception ICCV 2025 Sample Average Approximation for Conditional Stochastic Optimization with Dependent Data ICML 2024 Sample Average Approximation for Stochastic Optimization with Dependent Data: Performance Guarantees and Tractability AAAI 2022 Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization NeurIPS 2021