gradient estimation

Improving Black-box Adversarial Attacks with a Transfer-based Prior NeurIPS 2019 Learning Low-precision Neural Networks without Straight-Through Estimator (STE) IJCAI 2019 Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization ICML 2019 Sampled Softmax with Random Fourier Features NeurIPS 2019 Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks NeurIPS 2019 Taming MAML: Efficient unbiased meta-reinforcement learning ICML 2019 Towards closing the gap between the theory and practice of SVRG NeurIPS 2019 Variance reduction properties of the reparameterization trick AISTATS 2019 A Spectral Approach to Gradient Estimation for Implicit Distributions ICML 2018 Backpropagating through Structured Argmax using a SPIGOT ACL 2018 Backpropagation through the Void: Optimizing control variates for black-box gradient estimation ICLR 2018 DiCE: The Infinitely Differentiable Monte Carlo Estimator ICML 2018 Gradient Estimation with Simultaneous Perturbation and Compressive Sensing JMLR 2018 Learning in Integer Latent Variable Models with Nested Automatic Differentiation ICML 2018 PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos ICML 2018 Structured Evolution with Compact Architectures for Scalable Policy Optimization ICML 2018 Adaptive Batch Size for Safe Policy Gradients NeurIPS 2017 End-to-End Differentiable Adversarial Imitation Learning ICML 2017 Less than a Single Pass: Stochastically Controlled Stochastic Gradient AISTATS 2017 Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms AISTATS 2017 Understanding Synthetic Gradients and Decoupled Neural Interfaces ICML 2017 ERRATA: On the Estimation of the Gradient Lines of a Density and the Consistency of the Mean-Shift Algorithm JMLR 2016 On the Estimation of the Gradient Lines of a Density and the Consistency of the Mean-Shift Algorithm JMLR 2016 Gradient Estimation Using Stochastic Computation Graphs NeurIPS 2015 Sufficient Dimension Reduction via Direct Estimation of the Gradients of Logarithmic Conditional Densities ACML 2015