Chen, Lisha

13 publications

NeurIPS 2025 Beyond Value Functions: Single-Loop Bilevel Optimization Under Flatness Conditions Liuyuan Jiang, Quan Xiao, Lisha Chen, Tianyi Chen

ICML 2025 Efficient First-Order Optimization on the Pareto Set for Multi-Objective Learning Under Preference Guidance Lisha Chen, Quan Xiao, Ellen Hidemi Fukuda, Xinyi Chen, Kun Yuan, Tianyi Chen

NeurIPS 2025 Objective Soups: Multilingual Multi-Task Modeling for Speech Processing A F M Saif, Lisha Chen, Xiaodong Cui, Songtao Lu, Brian Kingsbury, Tianyi Chen

NeurIPS 2024 FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning Lisha Chen, Afm Saif, Yanning Shen, Tianyi Chen

JMLR 2024 Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance Lisha Chen, Heshan Fernando, Yiming Ying, Tianyi Chen

NeurIPS 2023 Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance Lisha Chen, Heshan Fernando, Yiming Ying, Tianyi Chen

AISTATS 2022 Is Bayesian Model-Agnostic Meta Learning Better than Model-Agnostic Meta Learning, Provably? Lisha Chen, Tianyi Chen

ICML 2022 Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning Momin Abbas, Quan Xiao, Lisha Chen, Pin-Yu Chen, Tianyi Chen

NeurIPS 2022 Understanding Benign Overfitting in Gradient-Based Meta Learning Lisha Chen, Songtao Lu, Tianyi Chen

AAAI 2021 Uncertain Graph Neural Networks for Facial Action Unit Detection Tengfei Song, Lisha Chen, Wenming Zheng, Qiang Ji

NeurIPS 2019 Deep Structured Prediction for Facial Landmark Detection Lisha Chen, Hui Su, Qiang Ji

IJCAI 2019 Embodied Conversational AI Agents in a Multi-Modal Multi-Agent Competitive Dialogue Rahul R. Divekar, Xiangyang Mou, Lisha Chen, Maíra Gatti de Bayser, Melina Alberio Guerra, Hui Su

JMLR 2013 Stress Functions for Nonlinear Dimension Reduction, Proximity Analysis, and Graph Drawing Lisha Chen, Andreas Buja