Co-occurring keywords · papers mentioning both
Papers
A Multi-Document Coverage Reward for RELAXed Multi-Document Summarization
ACL 2022
Multi-Sample Training for Neural Image Compression
NeurIPS 2022
On Biased Stochastic Gradient Estimation
JMLR 2022
Robust SDE-Based Variational Formulations for Solving Linear PDEs via Deep Learning
ICML 2022
ARMS: Antithetic-REINFORCE-Multi-Sample Gradient for Binary Variables
ICML 2021
CARMS: Categorical-Antithetic-REINFORCE Multi-Sample Gradient Estimator
NeurIPS 2021
Coupled Gradient Estimators for Discrete Latent Variables
NeurIPS 2021
Differentiable Greedy Algorithm for Monotone Submodular Maximization: Guarantees, Gradient Estimators, and Applications
AISTATS 2021
Efficient Neural Network Training via Forward and Backward Propagation Sparsification
NeurIPS 2021
MARINA: Faster Non-Convex Distributed Learning with Compression
ICML 2021
Multilevel Monte Carlo Variational Inference
JMLR 2021
On Signal-to-Noise Ratio Issues in Variational Inference for Deep Gaussian Processes
ICML 2021
On the difficulty of unbiased alpha divergence minimization
ICML 2021
PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization
ICML 2021
Settling the Variance of Multi-Agent Policy Gradients
NeurIPS 2021
All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference
ICML 2020
A Rule for Gradient Estimator Selection, with an Application to Variational Inference
AISTATS 2020
Comparator-Adaptive Convex Bandits
NeurIPS 2020
DisARM: An Antithetic Gradient Estimator for Binary Latent Variables
NeurIPS 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
NeurIPS 2020
Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator
UAI 2020
Quantized Variational Inference
NeurIPS 2020
VarGrad: A Low-Variance Gradient Estimator for Variational Inference
NeurIPS 2020
Variational Inference for Sequential Data with Future Likelihood Estimates
ICML 2020