conftrace_

gradient estimation

150 papers

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Co-occurring keywords

variance reduction (523) reinforcement learning (4352) zeroth-order optimization (102) policy gradient (520) adversarial attack (1621) stochastic optimization (1060) variational inference (2069) generative model (2892) large language model (13587) black-box attack (237)

Papers

Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE ICML 2020
Coresets for Data-efficient Training of Machine Learning Models ICML 2020
Self-Guided Evolution Strategies with Historical Estimated Gradients IJCAI 2020
Low-Variance Black-Box Gradient Estimates for the Plackett-Luce Distribution AAAI 2020
QEBA: Query-Efficient Boundary-Based Blackbox Attack CVPR 2020
Low Bias Low Variance Gradient Estimates for Boolean Stochastic Networks ICML 2020
Gradient Estimation with Stochastic Softmax Tricks NIPS 2020
Improving the Sample and Communication Complexity for Decentralized Non-Convex Optimization: Joint Gradient Estimation and Tracking ICML 2020
Path Sample-Analytic Gradient Estimators for Stochastic Binary Networks NIPS 2020
Variance Reduction for Evolution Strategies via Structured Control Variates AISTATS 2020
Communication Learning via Backpropagation in Discrete Channels with Unknown Noise AAAI 2020
Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks NIPS 2019
Variance reduction properties of the reparameterization trick AISTATS 2019
A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs ICML 2019
Sampled Softmax with Random Fourier Features NIPS 2019
Taming MAML: Efficient unbiased meta-reinforcement learning ICML 2019
Generative Modeling by Estimating Gradients of the Data Distribution NIPS 2019
Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization ICML 2019
Fast and Accurate Stochastic Gradient Estimation NIPS 2019
Learning Low-precision Neural Networks without Straight-Through Estimator (STE) IJCAI 2019
Improving Black-box Adversarial Attacks with a Transfer-based Prior NIPS 2019
Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds AISTATS 2019
Towards closing the gap between the theory and practice of SVRG NIPS 2019
PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos ICML 2018
Backpropagating through Structured Argmax using a SPIGOT ACL 2018