Co-occurring keywords · papers mentioning both
Papers
Private Geometric Median
NeurIPS 2024
Proving Linear Mode Connectivity of Neural Networks via Optimal Transport
AISTATS 2024
Revisiting Convergence of AdaGrad with Relaxed Assumptions
UAI 2024
Revisiting the Last-Iterate Convergence of Stochastic Gradient Methods
ICLR 2024
Revisiting the Noise Model of Stochastic Gradient Descent
AISTATS 2024
SAMPa: Sharpness-aware Minimization Parallelized
NeurIPS 2024
Scalable DP-SGD: Shuffling vs. Poisson Subsampling
NeurIPS 2024
Scaling Laws in Linear Regression: Compute, Parameters, and Data
NeurIPS 2024
SGD Finds then Tunes Features in Two-Layer Neural Networks with near-Optimal Sample Complexity: A Case Study in the XOR problem
ICLR 2024
SGD vs GD: Rank Deficiency in Linear Networks
NeurIPS 2024
Shuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization
NeurIPS 2024
Sliding Down the Stairs: How Correlated Latent Variables Accelerate Learning with Neural Networks
ICML 2024
SLowcalSGD : Slow Query Points Improve Local-SGD for Stochastic Convex Optimization
NeurIPS 2024
Small steps no more: Global convergence of stochastic gradient bandits for arbitrary learning rates
NeurIPS 2024
Sparse Variational Student-t Processes
AAAI 2024
Stability and Generalization of Asynchronous SGD: Sharper Bounds Beyond Lipschitz and Smoothness
NeurIPS 2024
Stochastic Fine-Tuning of Language Models Using Masked Gradients
EMNLP 2024
Stochastic Gradient Descent for Gaussian Processes Done Right
ICLR 2024
Stochastic Modified Flows, Mean-Field Limits and Dynamics of Stochastic Gradient Descent
JMLR 2024
Stochastic Optimization Schemes for Performative Prediction with Nonconvex Loss
NeurIPS 2024
Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model
JMLR 2024
Symmetries in Overparametrized Neural Networks: A Mean Field View
NeurIPS 2024
The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank
AAAI 2024
The High Line: Exact Risk and Learning Rate Curves of Stochastic Adaptive Learning Rate Algorithms
NeurIPS 2024
The Implicit Bias of Adam on Separable Data
NeurIPS 2024