conftrace_

global minimum

20 papers

Explore in graph

Co-occurring keywords

local minimum (61) stochastic gradient descent (1091) neural network (6616) gradient descent (1144) neural network optimization (1293) non-convex optimization (547) deep neural network (1803) loss landscape (149) deep linear network (25) dynamical stability (5)

Papers

Characterizing Dynamical Stability of Stochastic Gradient Descent in Overparameterized Learning JMLR 2025
Interpretable Global Minima of Deep ReLU Neural Networks on Sequentially Separable Data JMLR 2025
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks NIPS 2024
S-SOS: Stochastic Sum-Of-Squares for Parametric Polynomial Optimization NIPS 2024
Understanding the difficulty of solving Cauchy problems with PINNs L4DC 2024
Local to Global: Learning Dynamics and Effect of Initialization for Transformers NIPS 2024
Special Properties of Gradient Descent with Large Learning Rates ICML 2023
Replica Exchange for Non-Convex Optimization JMLR 2021
Elimination of All Bad Local Minima in Deep Learning AISTATS 2020
A Convergence Theory for Deep Learning via Over-Parameterization ICML 2019
Width Provably Matters in Optimization for Deep Linear Neural Networks ICML 2019
Gradient Descent Finds Global Minima of Deep Neural Networks ICML 2019
Adding One Neuron Can Eliminate All Bad Local Minima NIPS 2018
How SGD Selects the Global Minima in Over-parameterized Learning: A Dynamical Stability Perspective NIPS 2018
Optimization Landscape and Expressivity of Deep CNNs ICML 2018
Deep Linear Networks with Arbitrary Loss: All Local Minima Are Global ICML 2018
Optimization, fast and slow: optimally switching between local and Bayesian optimization ICML 2018
Convergence Analysis of Two-layer Neural Networks with ReLU Activation NIPS 2017
On the Quality of the Initial Basin in Overspecified Neural Networks ICML 2016
Deep Learning without Poor Local Minima NIPS 2016