frank-wolfe algorithm

CoRiM: Conflict-driven Risk Minimization for Dynamic Multimodal Fusion CVPR 2026 Efficient Decentralized Learning of Generalized Quantal Response Equilibrium UAI 2026 dEBORA: Efficient Bilevel Optimization-based low-Rank Adaptation ICLR 2025 Densest k-Subgraph Mining via a Provably Tight Relaxation AAAI 2025 Eliciting Language Model Behaviors with Investigator Agents ICML 2025 Logic-Logit: A Logic-Based Approach to Choice Modeling ICLR 2025 Partial Gromov-Wasserstein Metric ICLR 2025 Revisiting Projection-Free Online Learning with Time-Varying Constraints AAAI 2025 Secant Line Search for Frank-Wolfe Algorithms ICML 2025 The Pivoting Framework: Frank-Wolfe Algorithms with Active Set Size Control AISTATS 2025 Convergence to Nash Equilibrium and No-regret Guarantee in (Markov) Potential Games AISTATS 2024 Efficient Learning in Polyhedral Games via Best-Response Oracles AAAI 2024 Fast Rates for Bandit PAC Multiclass Classification NeurIPS 2024 Last-Iterate Convergence for Generalized Frank-Wolfe in Monotone Variational Inequalities NeurIPS 2024 Stochastic Frank-Wolfe: Unified Analysis and Zoo of Special Cases AISTATS 2024 Unified Projection-Free Algorithms for Adversarial DR-Submodular Optimization ICLR 2024 Acceleration of Frank-Wolfe Algorithms with Open-Loop Step-Sizes AISTATS 2023 A Scalable Frank-Wolfe-Based Algorithm for the Max-Cut SDP ICML 2023 A Unified Approach for Maximizing Continuous DR-submodular Functions NeurIPS 2023 Closing the Computational-Statistical Gap in Best Arm Identification for Combinatorial Semi-bandits NeurIPS 2023 Distributionally Robust Linear Quadratic Control NeurIPS 2023 Improved Dynamic Regret for Online Frank-Wolfe COLT 2023 Learning Cuts via Enumeration Oracles NeurIPS 2023 Reducing Discretization Error in the Frank-Wolfe Method AISTATS 2023 Scaling Up Differentially Private LASSO Regularized Logistic Regression via Faster Frank-Wolfe Iterations NeurIPS 2023