Topic: zeroth-order-optimization Goto Github
Some thing interesting about zeroth-order-optimization
Some thing interesting about zeroth-order-optimization
zeroth-order-optimization,This repository contains the PyTorch implementation of Zeroth Order Optimization Based Adversarial Black Box Attack (https://arxiv.org/abs/1708.03999)
User: as791
zeroth-order-optimization,Blockwise Direct Search
Organization: blockwise-direct-search
zeroth-order-optimization,SCOBO: Sparsity-aware Comparison Oracle Based Optimization
User: caesarcai
zeroth-order-optimization,Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling
User: caesarcai
zeroth-order-optimization,Robustify Black-Box Models (ICLR'22 - Spotlight)
User: damon-demon
zeroth-order-optimization,PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants (evolutionary algorithms/swarm-based optimizers/pattern search/...). [https://pypop.rtfd.io/]
User: evolutionary-intelligence
Home Page: https://pypop.readthedocs.io/
zeroth-order-optimization,Hard-Thresholding Meets Evolution Strategies in Reinforcement Learning
User: glorgao
zeroth-order-optimization,Code for IEEE MLSP 2021 paper titled "Model-Free Learning of Optimal Deterministic Resource Allocations in Wireless Systems via Action-Space Exploration"
User: hassaanhashmi
zeroth-order-optimization,0th order optimizers, gradient chaining, random gradient approximation
User: inikishev
zeroth-order-optimization,Official implementation for the paper "CoVO-MPC: Theoretical Analysis of Sampling-based MPC and Optimal Covariance Design" accepted by L4DC 2024. CoVO-MPC is an optimal sampling-based MPC algorithm.
Organization: lecar-lab
Home Page: https://lecar-lab.github.io/CoVO-MPC/
zeroth-order-optimization,Official implementation for the paper "Model-based Diffusion for Trajectory Optimization". Model-based diffusion (MBD) is a novel diffusion-based trajectory optimization framework that employs a dynamics model to run the reverse denoising process to generate high-quality trajectories.
Organization: lecar-lab
Home Page: https://lecar-lab.github.io/mbd/
zeroth-order-optimization,PRIMA: Reference Implementation for Powell's methods with Modernization and Amelioration
Organization: libprima
zeroth-order-optimization,Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]
User: max-andr
Home Page: https://arxiv.org/abs/1912.00049
zeroth-order-optimization,Elo ratings for global black box derivative-free optimizers
User: microprediction
zeroth-order-optimization,Benchmarking optimization solvers.
Organization: optiprofiler
Home Page: https://www.optiprofiler.com
zeroth-order-optimization,[ICLR'24] "DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training" by Aochuan Chen*, Yimeng Zhang*, Jinghan Jia, James Diffenderfer, Jiancheng Liu, Konstantinos Parasyris, Yihua Zhang, Zheng Zhang, Bhavya Kailkhura, Sijia Liu
Organization: optml-group
zeroth-order-optimization,Powell's Derivative-Free Optimization solvers.
Organization: pdfo
Home Page: https://www.pdfo.net
zeroth-order-optimization,A pure-MATLAB library for POPulation-based Large-Scale Black-Box Optimization (pop-lsbbo).
User: qiqiduan257
zeroth-order-optimization,Implementation of the algorithms described in the papers "ZO-AdaMM: Zeroth Order Adaptive Momentum" by Chen et al., "Stochastic first- and zeroth-order methods" by Ghadimi et al. and "SignSGD via zeroth- order oracle" by Liu et al.
User: rebeccadf
zeroth-order-optimization,Sparse Perturbations for Improved Convergence in Stochastic Zeroth-Order Optimization
Organization: statnlp
Home Page: https://arxiv.org/abs/2006.01759
zeroth-order-optimization,[NeurIPS 2023] “SODA: Robust Training of Test-Time Data Adaptors”
User: zigew
zeroth-order-optimization,[ICML 2024] Official code for the paper "Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ".
Organization: zo-bench
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