Co-occurring keywords · papers mentioning both
Papers
Scan and Snap: Understanding Training Dynamics and Token Composition in 1-layer Transformer
NeurIPS 2023
Semi Bandit dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees.
ICML 2023
SGD learning on neural networks: leap complexity and saddle-to-saddle dynamics
COLT 2023
(S)GD over Diagonal Linear Networks: Implicit bias, Large Stepsizes and Edge of Stability
NeurIPS 2023
SGD with AdaGrad Stepsizes: Full Adaptivity with High Probability to Unknown Parameters, Unbounded Gradients and Affine Variance
ICML 2023
SGD with Large Step Sizes Learns Sparse Features
ICML 2023
Sharper Bounds for Uniformly Stable Algorithms with Stationary Mixing Process
ICLR 2023
Smoothing the Landscape Boosts the Signal for SGD: Optimal Sample Complexity for Learning Single Index Models
NeurIPS 2023
Special Properties of Gradient Descent with Large Learning Rates
ICML 2023
Spectral Evolution and Invariance in Linear-width Neural Networks
NeurIPS 2023
spred: Solving L1 Penalty with SGD
ICML 2023
Stability and Generalization of Stochastic Optimization with Nonconvex and Nonsmooth Problems
COLT 2023
Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm
NeurIPS 2023
Stability-Based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning
AAAI 2023
Stability-Based Generalization Analysis of the Asynchronous Decentralized SGD
AAAI 2023
Stochastic Collapse: How Gradient Noise Attracts SGD Dynamics Towards Simpler Subnetworks
NeurIPS 2023
Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods
AISTATS 2023
Stochastic Gradient Descent-Induced Drift of Representation in a Two-Layer Neural Network
ICML 2023
Stochastic Gradient Descent under Markovian Sampling Schemes
ICML 2023
The Implicit Bias of Minima Stability in Multivariate Shallow ReLU Networks
ICLR 2023
The Implicit Regularization of Dynamical Stability in Stochastic Gradient Descent
ICML 2023
TiDAL: Learning Training Dynamics for Active Learning
ICCV 2023
Tighter Analysis for ProxSkip
ICML 2023
Tighter Lower Bounds for Shuffling SGD: Random Permutations and Beyond
ICML 2023
Toward Better PAC-Bayes Bounds for Uniformly Stable Algorithms
NeurIPS 2023