Optimization

Newton Meets Marchenko-Pastur: Massively Parallel Second-Order Optimization with Hessian Sketching and Debiasing ICLR 2025 Nonconvex Stochastic Bregman Proximal Gradient Method with Application to Deep Learning JMLR 2025 Non-Equilibrium Dynamics of Hybrid Continuous-Discrete Ground-State Sampling ICLR 2025 Number Theoretic Accelerated Learning of Physics-Informed Neural Networks AAAI 2025 On Shallow Planning Under Partial Observability AAAI 2025 On the Almost Sure Convergence of the Stochastic Three Points Algorithm ICLR 2025 On the Convergence of Tâtonnement for Linear Fisher Markets AAAI 2025 On the Design of a Robust Superdirective Beamformer and Topology Parameter Optimization with Frustum-Shaped Microphone Arrays Featuring Multiple Rings Interspeech 2025 OPTAMI: Global Superlinear Convergence of High-order Methods ICLR 2025 OptiBench Meets ReSocratic: Measure and Improve LLMs for Optimization Modeling ICLR 2025 Optimal Control Operator Perspective and a Neural Adaptive Spectral Method AAAI 2025 Optimization by Parallel Quasi-Quantum Annealing with Gradient-Based Sampling ICLR 2025 Optimization Over a Probability Simplex JMLR 2025 Optimizing $(L_0, L_1)$-Smooth Functions by Gradient Methods ICLR 2025 ORMind: A Cognitive-Inspired End-to-End Reasoning Framework for Operations Research ACL 2025 PCR-GS: COLMAP-Free 3D Gaussian Splatting via Pose Co-Regularizations ICCV 2025 Per-Pixel Solution of Multispectral Photometric Stereo WACV 2025 p-Mean Regret for Stochastic Bandits AAAI 2025 Proactive Data-driven Scheduling of Business Processes IJCAI 2025 Proper losses regret at least 1/2-order JMLR 2025 Provable Convergence Bounds for Hybrid Dynamical Sampling and Optimization ICLR 2025 Radiance Field-Based Pose Estimation via Decoupled Optimization Under Challenging Initial Conditions WACV 2025 Relation-Augmented Dueling Bayesian Optimization via Preference Propagation IJCAI 2025 Representation Preserving Multiclass Agnostic to Realizable Reduction ICML 2025 Representer Theorems for Metric and Preference Learning: Geometric Insights and Algorithms AISTATS 2025