conftrace_

gradient flow

142 papers

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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

Accelerated Flow for Probability Distributions ICML 2019
Sobolev Descent AISTATS 2019
A Continuous-Time View of Early Stopping for Least Squares Regression AISTATS 2019
Sliced-Wasserstein Flows: Nonparametric Generative Modeling via Optimal Transport and Diffusions ICML 2019
Who is Afraid of Big Bad Minima? Analysis of gradient-flow in spiked matrix-tensor models NIPS 2019
Sampling as optimization in the space of measures: The Langevin dynamics as a composite optimization problem COLT 2018
SobolevFusion: 3D Reconstruction of Scenes Undergoing Free Non-Rigid Motion CVPR 2018
Algorithmic Regularization in Learning Deep Homogeneous Models: Layers are Automatically Balanced NIPS 2018
Convergence of Langevin MCMC in KL-divergence ALT 2018
Language Modeling with Recurrent Highway Hypernetworks NIPS 2017
Mean Field Residual Networks: On the Edge of Chaos NIPS 2017
Stein Variational Gradient Descent as Gradient Flow NIPS 2017
Integration Methods and Optimization Algorithms NIPS 2017
Residual Networks Behave Like Ensembles of Relatively Shallow Networks NIPS 2016
Noisy Activation Functions ICML 2016
Sketching the Support of a Probability Measure AISTATS 2014
Understanding the difficulty of training deep feedforward neural networks AISTATS 2010