conftrace_

gradient-free optimization

43 papers

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Co-occurring keywords

large language model (13587) black-box optimization (183) stochastic optimization (1060) prompt tuning (391) zeroth-order optimization (102) prompt engineering (1135) few-shot learning (3398) black-box model (90) zero-order optimization (25) derivative-free optimization (44)

Papers

TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning NIPS 2022
ZARTS: On Zero-order Optimization for Neural Architecture Search NIPS 2022
Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization NIPS 2022
Black-Box Detection of Backdoor Attacks With Limited Information and Data ICCV 2021
Learning a Gradient-free Riemannian Optimizer on Tangent Spaces AAAI 2021
Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks ICML 2020
Improving Black-box Adversarial Attacks with a Transfer-based Prior NIPS 2019
ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization NIPS 2019
Fast Efficient Hyperparameter Tuning for Policy Gradient Methods NIPS 2019
Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization AAAI 2019
Monte Carlo Tree Search for Policy Optimization IJCAI 2019
Stein Variational Gradient Descent Without Gradient ICML 2018
Genetic-Gated Networks for Deep Reinforcement Learning NIPS 2018
Adversarial Risk and the Dangers of Evaluating Against Weak Attacks ICML 2018
Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization NIPS 2018
Efficient Gradient-Free Variational Inference using Policy Search ICML 2018
Gradient-free Policy Architecture Search and Adaptation CORL 2017
Learning Supervised PageRank with Gradient-Based and Gradient-Free Optimization Methods NIPS 2016