conftrace_

gradient estimator

59 papers

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Also known as

GE

Co-occurring keywords

variance reduction (523) variational inference (2069) stochastic optimization (1060) generative model (2892) gradient estimation (150) stochastic gradient (296) discrete latent variable (43) control variate (54) stochastic gradient descent (1091) evidence lower bound (68)

Papers

ARMS: Antithetic-REINFORCE-Multi-Sample Gradient for Binary Variables ICML 2021
Multilevel Monte Carlo Variational Inference JMLR 2021
On the difficulty of unbiased alpha divergence minimization ICML 2021
MARINA: Faster Non-Convex Distributed Learning with Compression ICML 2021
PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization ICML 2021
On Signal-to-Noise Ratio Issues in Variational Inference for Deep Gaussian Processes ICML 2021
VarGrad: A Low-Variance Gradient Estimator for Variational Inference NIPS 2020
Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator UAI 2020
All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference ICML 2020
Variational Inference for Sequential Data with Future Likelihood Estimates ICML 2020
A Rule for Gradient Estimator Selection, with an Application to Variational Inference AISTATS 2020
DisARM: An Antithetic Gradient Estimator for Binary Latent Variables NIPS 2020
Comparator-Adaptive Convex Bandits NIPS 2020
Quantized Variational Inference NIPS 2020
Efficient Projection-Free Online Methods with Stochastic Recursive Gradient AAAI 2020
Optimal Variance Control of the Score-Function Gradient Estimator for Importance-Weighted Bounds NIPS 2020
Stochastic Gradient Hamiltonian Monte Carlo Methods with Recursive Variance Reduction NIPS 2019
ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables ICML 2019
Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Gradient Estimators for Reinforcement Learning NIPS 2019
Variance Reduction for Matrix Games NIPS 2019
Calibrated Stochastic Gradient Descent for Convolutional Neural Networks AAAI 2019
Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization IJCAI 2019
Pathwise Derivatives for Multivariate Distributions AISTATS 2019
Efficient optimization of loops and limits with randomized telescoping sums ICML 2019
Complexities in Projection-Free Stochastic Non-convex Minimization AISTATS 2019