Co-occurring keywords · papers mentioning both
Papers
Nonconvex Theory of M-estimators with Decomposable Regularizers
ICML 2025
Online Non-convex Learning in Dynamic Environments
NeurIPS 2024
Born-Infeld (BI) for AI: Energy-Conserving Descent (ECD) for Optimization
ICML 2022
Multiplicative Noise and Heavy Tails in Stochastic Optimization
ICML 2021
Personalized Federated Learning with Theoretical Guarantees: A Model-Agnostic Meta-Learning Approach
NeurIPS 2020
Differentially Private Empirical Risk Minimization with Smooth Non-Convex Loss Functions: A Non-Stationary View
AAAI 2019
Overparameterized Nonlinear Learning: Gradient Descent Takes the Shortest Path?
ICML 2019
Scalable Robust Matrix Factorization with Nonconvex Loss
NeurIPS 2018