conftrace_

gradient flow

142 papers

Explore in graph

Also known as

GF

Co-occurring keywords

neural network (6616) gradient descent (1144) optimal transport (948) implicit bia (107) relu network (143) neural network optimization (1293) stochastic gradient descent (1091) convergence analysis (395) variational inference (2069) wasserstein distance (417)

Papers

KALE Flow: A Relaxed KL Gradient Flow for Probabilities with Disjoint Support NIPS 2021
Understanding Deflation Process in Over-parametrized Tensor Decomposition NIPS 2021
Continuous vs. Discrete Optimization of Deep Neural Networks NIPS 2021
Skew-symmetrically perturbed gradient flow for convex optimization ACML 2021
Curriculum Learning by Optimizing Learning Dynamics AISTATS 2021
Path Length Bounds for Gradient Descent and Flow JMLR 2021
Understanding the Dynamics of Gradient Flow in Overparameterized Linear models ICML 2021
Training Linear Neural Networks: Non-Local Convergence and Complexity Results ICML 2020
On the Multiple Descent of Minimum-Norm Interpolants and Restricted Lower Isometry of Kernels COLT 2020
Approximate Inference with Wasserstein Gradient Flows AISTATS 2020
Black-Box Variational Inference as a Parametric Approximation to Langevin Dynamics ICML 2020
Why and when should you pool? Analyzing Pooling in Recurrent Architectures EMNLP 2020
Revisiting the Landscape of Matrix Factorization AISTATS 2020
Complex Dynamics in Simple Neural Networks: Understanding Gradient Flow in Phase Retrieval NIPS 2020
Finite-Time Convergence in Continuous-Time Optimization ICML 2020
On the training dynamics of deep networks with $L_2$ regularization NIPS 2020
MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks CVPR 2020
SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence NIPS 2020
Implicit Bias in Deep Linear Classification: Initialization Scale vs Training Accuracy NIPS 2020
Ode to an ODE NIPS 2020
Directional convergence and alignment in deep learning NIPS 2020
Gradient Dynamics of Shallow Univariate ReLU Networks NIPS 2019
Self-Teaching Networks INTERSPEECH 2019
Understanding MCMC Dynamics as Flows on the Wasserstein Space ICML 2019
Deep Generative Learning via Variational Gradient Flow ICML 2019