multiplicative weight

Forecasting Competitions with Correlated Events AAAI 2025 Langevin Multiplicative Weights Update with Applications in Polynomial Portfolio Management AAAI 2025 Accelerated Regularized Learning in Finite N-Person Games NeurIPS 2024 Adversarial Causal Bayesian Optimization ICLR 2024 Multiclass Online Learning and Uniform Convergence COLT 2023 Beyond Time-Average Convergence: Near-Optimal Uncoupled Online Learning via Clairvoyant Multiplicative Weights Update NeurIPS 2022 Efficient and Optimal Fixed-Time Regret with Two Experts ALT 2022 Kernelized Multiplicative Weights for 0/1-Polyhedral Games: Bridging the Gap Between Learning in Extensive-Form and Normal-Form Games ICML 2022 Learning what to remember ALT 2022 Learning Gaussian Graphical Models via Multiplicative Weights AISTATS 2020 Prediction with Corrupted Expert Advice NeurIPS 2020 Differential Privacy for Growing Databases NeurIPS 2018 Multiplicative Weights Updates with Constant Step-Size in Graphical Constant-Sum Games NeurIPS 2018 On preserving non-discrimination when combining expert advice NeurIPS 2018 Tight Bounds for Collaborative PAC Learning via Multiplicative Weights NeurIPS 2018 Coordinated Versus Decentralized Exploration In Multi-Agent Multi-Armed Bandits IJCAI 2017 A Simple and Practical Algorithm for Differentially Private Data Release NeurIPS 2012 A Game-Theoretic Approach to Apprenticeship Learning NeurIPS 2007