Co-occurring keywords · papers mentioning both
Papers
Convex and Non-convex Optimization Under Generalized Smoothness
NeurIPS 2023
Decentralized Matrix Sensing: Statistical Guarantees and Fast Convergence
NeurIPS 2023
Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained Features Model
NeurIPS 2023
DIFF2: Differential Private Optimization via Gradient Differences for Nonconvex Distributed Learning
ICML 2023
Differentiable Clustering with Perturbed Spanning Forests
NeurIPS 2023
Differentiable Instruction Optimization for Cross-Task Generalization
ACL 2023
DiffTune$^+$: Hyperparameter-Free Auto-Tuning using Auto-Differentiation
L4DC 2023
Direction-oriented Multi-objective Learning: Simple and Provable Stochastic Algorithms
NeurIPS 2023
Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters
ICCV 2023
Don’t blame Dataset Shift! Shortcut Learning due to Gradients and Cross Entropy
NeurIPS 2023
DOT: A Distillation-Oriented Trainer
ICCV 2023
DoWG Unleashed: An Efficient Universal Parameter-Free Gradient Descent Method
NeurIPS 2023
Efficient Convex Optimization Requires Superlinear Memory (Extended Abstract)
IJCAI 2023
Elastic Gradient Descent, an Iterative Optimization Method Approximating the Solution Paths of the Elastic Net
JMLR 2023
Explicit Regularization in Overparametrized Models via Noise Injection
AISTATS 2023
Exploiting hidden structures in non-convex games for convergence to Nash equilibrium
NeurIPS 2023
Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms
ICML 2023
FAMO: Fast Adaptive Multitask Optimization
NeurIPS 2023
Fast Federated Machine Unlearning with Nonlinear Functional Theory
ICML 2023
Fast Optimal Transport through Sliced Generalized Wasserstein Geodesics
NeurIPS 2023
Federated Compositional Deep AUC Maximization
NeurIPS 2023
Federated Multi-Objective Learning
NeurIPS 2023
FedMDFG: Federated Learning with Multi-Gradient Descent and Fair Guidance
AAAI 2023
Fisher-Legendre (FishLeg) optimization of deep neural networks
ICLR 2023
Fix-A-Step: Semi-supervised Learning From Uncurated Unlabeled Data
AISTATS 2023