Continuous Optimization

An Effective Dynamic Gradient Calibration Method for Continual Learning ICML 2024 An Embedding Framework for the Design and Analysis of Consistent Polyhedral Surrogates JMLR 2024 A New Guaranteed Outlier Removal Method Based on Plane Constraints for Large-Scale LiDAR Point Cloud Registration IJCAI 2024 A New Robust Partial p-Wasserstein-Based Metric for Comparing Distributions ICML 2024 A New Theoretical Perspective on Data Heterogeneity in Federated Optimization ICML 2024 An Online Optimization Perspective on First-Order and Zero-Order Decentralized Nonsmooth Nonconvex Stochastic Optimization ICML 2024 An Optimal Transport Approach for Computing Adversarial Training Lower Bounds in Multiclass Classification JMLR 2024 A Note on Entrywise Consistency for Mixed-data Matrix Completion JMLR 2024 A Novel Skip Orthogonal List for Dynamic Optimal Transport Problem AAAI 2024 Ansatz-Agnostic Exponential Resource Saving in Variational Quantum Algorithms Using Shallow Shadows IJCAI 2024 Approximate Algorithms for k-Sparse Wasserstein Barycenter with Outliers IJCAI 2024 Approximation Scheme for Weighted Metric Clustering via Sherali-Adams AAAI 2024 A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints NeurIPS 2024 A projected semismooth Newton method for a class of nonconvex composite programs with strong prox-regularity JMLR 2024 A robust inlier identification algorithm for point cloud registration via ℓ_0-minimization NeurIPS 2024 A Single-Loop Robust Policy Gradient Method for Robust Markov Decision Processes ICML 2024 A Specialized Semismooth Newton Method for Kernel-Based Optimal Transport AISTATS 2024 Aspect Variability and the Annotation of Aspect in the IMAGACT Ontology of Action COLING 2024 A Study of First-Order Methods with a Deterministic Relative-Error Gradient Oracle ICML 2024 A Subquadratic Time Algorithm for Robust Sparse Mean Estimation ICML 2024 Asymptotically Optimal and Computationally Efficient Average Treatment Effect Estimation in A/B testing ICML 2024 A Universal Class of Sharpness-Aware Minimization Algorithms ICML 2024 Automatic Outlier Rectification via Optimal Transport NeurIPS 2024 Backward Filtering Forward Deciding in Linear Non-Gaussian State Space Models AISTATS 2024 Bagged Deep Image Prior for Recovering Images in the Presence of Speckle Noise ICML 2024