simulated annealing

What Can We Learn Even from the Weakest? Learning Sketches for Programmatic Strategies AAAI 2022 BESA: BERT-based Simulated Annealing for Adversarial Text Attacks IJCAI 2021 Learning Complexity of Simulated Annealing AISTATS 2021 Towards Understanding the Behaviors of Optimal Deep Active Learning Algorithms AISTATS 2021 Learning Optimal Temperature Region for Solving Mixed Integer Functional DCOPs IJCAI 2020 Neural Gibbs Sampling for Joint Event Argument Extraction AACL 2020 Unsupervised Paraphrasing by Simulated Annealing ACL 2020 Unsupervised Text Generation by Learning from Search NeurIPS 2020 Canonical Soft Time Warping ACML 2019 Convergence Rate of a Simulated Annealing Algorithm with Noisy Observations JMLR 2019 DynTypo: Example-Based Dynamic Text Effects Transfer CVPR 2019 Sample Efficient Graph-Based Optimization with Noisy Observations AISTATS 2019 Sampling and Optimization on Convex Sets in Riemannian Manifolds of Non-Negative Curvature COLT 2019 Convex Optimization with Unbounded Nonconvex Oracles using Simulated Annealing COLT 2018 A Simulated Annealing Based Inexact Oracle for Wasserstein Loss Minimization ICML 2017 Identifying a Minimal Class of Models for High--dimensional Data JMLR 2017 Metaheuristic Approaches to Lexical Substitution and Simplification EACL 2017 Bridging the Gap between Stochastic Gradient MCMC and Stochastic Optimization AISTATS 2016 Faster Convex Optimization: Simulated Annealing with an Efficient Universal Barrier ICML 2016 Learning Using Anti-Training with Sacrificial Data JMLR 2016 Noisy Activation Functions ICML 2016 Scalable MAP inference in Bayesian networks based on a Map-Reduce approach PGM 2016 Escaping the Local Minima via Simulated Annealing: Optimization of Approximately Convex Functions COLT 2015 Scaling Nonparametric Bayesian Inference via Subsample-Annealing AISTATS 2014 Clustering Aggregation as Maximum-Weight Independent Set NeurIPS 2012