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

CASN:Class-Aware Score Network for Textual Adversarial Detection ACL 2023
CAME: Confidence-guided Adaptive Memory Efficient Optimization ACL 2023
A Generalizable Physics-informed Learning Framework for Risk Probability Estimation L4DC 2023
Optimal Clipping and Magnitude-aware Differentiation for Improved Quantization-aware Training ICML 2022
Local Bayesian optimization via maximizing probability of descent NIPS 2022
Gradient Estimation with Discrete Stein Operators NIPS 2022
Double Control Variates for Gradient Estimation in Discrete Latent Variable Models AISTATS 2022
Differentiable Analog Quantum Computing for Optimization and Control NIPS 2022
Biased Gradient Estimate with Drastic Variance Reduction for Meta Reinforcement Learning ICML 2022
A contrastive rule for meta-learning NIPS 2022
Generalizing Gaussian Smoothing for Random Search ICML 2022
Do Differentiable Simulators Give Better Policy Gradients? ICML 2022
Path-Gradient Estimators for Continuous Normalizing Flows ICML 2022
DiPS: Differentiable Policy for Sketching in Recommender Systems AAAI 2022
Large Batch Experience Replay ICML 2022
DNNR: Differential Nearest Neighbors Regression ICML 2022
Proppo: a Message Passing Framework for Customizable and Composable Learning Algorithms NIPS 2022
Hindsight Network Credit Assignment: Efficient Credit Assignment in Networks of Discrete Stochastic Units AAAI 2022
PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation ICML 2022
A gradient estimator via L1-randomization for online zero-order optimization with two point feedback NIPS 2022
Computationally Efficient Optimization of Plackett-Luce Ranking Models for Relevance and Fairness (Extended Abstract) IJCAI 2022
Variational Sparse Coding with Learned Thresholding ICML 2022
Distributed Learning with Strategic Users: A Repeated Game Approach AAAI 2022
Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscillations NIPS 2022
Automatic Differentiation of Programs with Discrete Randomness NIPS 2022