 Gradient-Free Method for Heavily Constrained Nonconvex OptimizationInternational Conference on Machine Learning (ICML), 2024 |
 A Primer on Zeroth-Order Optimization in Signal Processing and Machine
LearningIEEE Signal Processing Magazine (IEEE Signal Process. Mag.), 2020 |
 Efficiently avoiding saddle points with zero order methods: No gradients
requiredNeural Information Processing Systems (NeurIPS), 2019 |
 Learning to Learn by Zeroth-Order OracleInternational Conference on Learning Representations (ICLR), 2019 |
 ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box
OptimizationNeural Information Processing Systems (NeurIPS), 2019 |
