gradient estimation

Variance-reduced First-order Meta-learning for Natural Language Processing Tasks NAACL 2021 WaveGrad: Estimating Gradients for Waveform Generation ICLR 2021 Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE ICML 2020 Communication Learning via Backpropagation in Discrete Channels with Unknown Noise AAAI 2020 Coresets for Data-efficient Training of Machine Learning Models ICML 2020 Estimating Gradients for Discrete Random Variables by Sampling without Replacement ICLR 2020 Gradient Estimation with Stochastic Softmax Tricks NeurIPS 2020 Improving the Sample and Communication Complexity for Decentralized Non-Convex Optimization: Joint Gradient Estimation and Tracking ICML 2020 Kernelized Wasserstein Natural Gradient ICLR 2020 Low Bias Low Variance Gradient Estimates for Boolean Stochastic Networks ICML 2020 Low-Variance Black-Box Gradient Estimates for the Plackett-Luce Distribution AAAI 2020 Mutual Information Gradient Estimation for Representation Learning ICLR 2020 Optimizing Black-box Metrics with Adaptive Surrogates ICML 2020 Path Sample-Analytic Gradient Estimators for Stochastic Binary Networks NeurIPS 2020 QEBA: Query-Efficient Boundary-Based Blackbox Attack CVPR 2020 Self-Guided Evolution Strategies with Historical Estimated Gradients IJCAI 2020 Sign Bits Are All You Need for Black-Box Attacks ICLR 2020 Sign-OPT: A Query-Efficient Hard-label Adversarial Attack ICLR 2020 Super-efficiency of automatic differentiation for functions defined as a minimum ICML 2020 Unbiased Risk Estimators Can Mislead: A Case Study of Learning with Complementary Labels ICML 2020 Variance Reduction for Evolution Strategies via Structured Control Variates AISTATS 2020 A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs ICML 2019 Fast and Accurate Stochastic Gradient Estimation NeurIPS 2019 Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds AISTATS 2019 Generative Modeling by Estimating Gradients of the Data Distribution NeurIPS 2019