Co-occurring keywords · papers mentioning both
Papers
Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization
ICML 2023
Fast Objective & Duality Gap Convergence for Non-Convex Strongly-Concave Min-Max Problems with PL Condition
JMLR 2023
Finding Local Minima Efficiently in Decentralized Optimization
NeurIPS 2023
Generalized-Smooth Nonconvex Optimization is As Efficient As Smooth Nonconvex Optimization
ICML 2023
Global Convergence Analysis of Local SGD for Two-layer Neural Network without Overparameterization
NeurIPS 2023
Global Optimality in Bivariate Gradient-based DAG Learning
NeurIPS 2023
GloptiNets: Scalable Non-Convex Optimization with Certificates
NeurIPS 2023
GradMA: A Gradient-Memory-Based Accelerated Federated Learning With Alleviated Catastrophic Forgetting
CVPR 2023
HeteRSGD: Tackling Heterogeneous Sampling Costs via Optimal Reweighted Stochastic Gradient Descent
AISTATS 2023
High-Probability Bounds for Stochastic Optimization and Variational Inequalities: the Case of Unbounded Variance
ICML 2023
High Probability Convergence of Stochastic Gradient Methods
ICML 2023
IKOL: Inverse Kinematics Optimization Layer for 3D Human Pose and Shape Estimation via Gauss-Newton Differentiation
AAAI 2023
Improving the Model Consistency of Decentralized Federated Learning
ICML 2023
Insights into Ordinal Embedding Algorithms: A Systematic Evaluation
JMLR 2023
Learning Conditional Generative Models for Phase Retrieval
JMLR 2023
Learning Proximal Operators to Discover Multiple Optima
ICLR 2023
Linear Regularizers Enforce the Strict Saddle Property
AAAI 2023
Loss Balancing for Fair Supervised Learning
ICML 2023
Measuring Forgetting of Memorized Training Examples
ICLR 2023
Near Optimal Heteroscedastic Regression with Symbiotic Learning
COLT 2023
Non-Convex Bilevel Optimization with Time-Varying Objective Functions
NeurIPS 2023
Nonconvex stochastic scaled gradient descent and generalized eigenvector problems
UAI 2023
On Learning Rates and Schrödinger Operators
JMLR 2023
Online Control for Meta-optimization
NeurIPS 2023
Online Stochastic Gradient Descent with Arbitrary Initialization Solves Non-smooth, Non-convex Phase Retrieval
JMLR 2023