Optimization

Optimal Multi-Fidelity Best-Arm Identification NeurIPS 2024 Optimal Non-Redundant Manipulator Surface Coverage with Rank-Deficient Manipulability Constraints RSS 2024 Optimal Parallelization of Boosting NeurIPS 2024 Optimal Recurrent Network Topologies for Dynamical Systems Reconstruction ICML 2024 Optimal Ridge Regularization for Out-of-Distribution Prediction ICML 2024 Optimal Scalarizations for Sublinear Hypervolume Regret NeurIPS 2024 Optimal Scaling for the Proximal Langevin Algorithm in High Dimensions JMLR 2024 Optimal Top-Two Method for Best Arm Identification and Fluid Analysis NeurIPS 2024 Optimal transport based adversarial patch to leverage large scale attack transferability ICLR 2024 Optimal Transport Guided Correlation Assignment for Multimodal Entity Linking ACL 2024 Optimal Transport with Tempered Exponential Measures AAAI 2024 Optimised Storage for Datalog Reasoning AAAI 2024 Optimising Distributions with Natural Gradient Surrogates AISTATS 2024 Optimistic Information Directed Sampling COLT 2024 Optimistic Multi-Agent Policy Gradient ICML 2024 Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization JMLR 2024 Optimistic Search: Change Point Estimation for Large-scale Data via Adaptive Logarithmic Queries JMLR 2024 Optimistic Verifiable Training by Controlling Hardware Nondeterminism NeurIPS 2024 Optimization Algorithm Design via Electric Circuits NeurIPS 2024 Optimization-based Causal Estimation from Heterogeneous Environments JMLR 2024 Optimization-based Uncertainty Attribution Via Learning Informative Perturbations ECCV 2024 Optimization Can Learn Johnson Lindenstrauss Embeddings NeurIPS 2024 Optimization Framework for Semi-supervised Attributed Graph Coarsening UAI 2024 Optimization Under Epistemic Uncertainty Using Prediction IJCAI 2024 Optimization without Retraction on the Random Generalized Stiefel Manifold ICML 2024