Continuous Optimization

Revisiting Global Translation Estimation with Feature Tracks CVPR 2024 Rhythm Inference Helping Writing Music Scores IJCAI 2024 Riemannian Accelerated Zeroth-order Algorithm: Improved Robustness and Lower Query Complexity ICML 2024 Riemannian coordinate descent algorithms on matrix manifolds ICML 2024 Risk Estimation in a Markov Cost Process: Lower and Upper Bounds ICML 2024 Robust Beamforming for Downlink Multi-Cell Systems: A Bilevel Optimization Perspective AAAI 2024 Robust Blind Text Image Deblurring via Maximum Consensus Framework AAAI 2024 Robust Data-driven Prescriptiveness Optimization ICML 2024 Robust Losses for Decision-Focused Learning IJCAI 2024 Robustly Learning Single-Index Models via Alignment Sharpness ICML 2024 Robust Non-linear Normalization of Heterogeneous Feature Distributions with Adaptive Tanh-Estimators AISTATS 2024 Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination ICML 2024 Safe and Sparse Newton Method for Entropic-Regularized Optimal Transport NeurIPS 2024 Sample-Efficient Geometry Reconstruction from Euclidean Distances using Non-Convex Optimization NeurIPS 2024 Sarah Frank-Wolfe: Methods for Constrained Optimization with Best Rates and Practical Features ICML 2024 SaVeR: Optimal Data Collection Strategy for Safe Policy Evaluation in Tabular MDP ICML 2024 Scalable Distance-based Multi-Agent Relative State Estimation via Block Multiconvex Optimization RSS 2024 Scalable Kernel Inverse Optimization NeurIPS 2024 Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport ICML 2024 Scaling Exponents Across Parameterizations and Optimizers ICML 2024 SchurVINS: Schur Complement-Based Lightweight Visual Inertial Navigation System CVPR 2024 SDEs for Minimax Optimization AISTATS 2024 Semidefinite Relaxations of the Gromov-Wasserstein Distance NeurIPS 2024 Sharpened Lazy Incremental Quasi-Newton Method AISTATS 2024 Shuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization NeurIPS 2024