January 23, 2005 conference-paper Online convex optimization in the bandit setting: gradient descent without a gradient Symposium on Discrete Algorithms DOI: 10.5555/1070432.1070486 OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 568 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Gradient Approximation and Multivariable Derivative-Free Optimization Based on Noncommutative Maps 2021 IEEE Transactions on Automatic Control article Mathematics Advanced Optimization Algorithms Research Open access 4 citations Comparator-adaptive Convex Bandits 2020 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access 2 citations 2 results References 0