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Continuous Optimization

3907 directly classified papers

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Papers

Fast Computation of Superquantile-Constrained Optimization Through Implicit Scenario Reduction JMLR 2025
A Bayesian Optimization Approach to Machine Translation Reranking NAACL 2025
Mitigating Heterogeneity among Factor Tensors via Lie Group Manifolds for Tensor Decomposition Based Temporal Knowledge Graph Embedding NAACL 2025
Decentralized Asynchronous Optimization with DADAO allows Decoupling and Acceleration JMLR 2025
Efficient Differentiable Approximation of Generalized Low-rank Regularization IJCAI 2025
Α Descent-based Method on the Duality Gap for Solving Zero-sum Games IJCAI 2025
Linear Trading Position with Sparse Spectrum IJCAI 2025
Learning Reduced Fluid Dynamics AAAI 2024
Efficient Minimum Bayes Risk Decoding using Low-Rank Matrix Completion Algorithms NIPS 2024
Optimal Transport with Cyclic Symmetry AAAI 2024
John Ellipsoids via Lazy Updates NIPS 2024
Bayesian Adaptive Calibration and Optimal Design NIPS 2024
Online Markov Decision Processes Configuration with Continuous Decision Space AAAI 2024
An Effective Augmented Lagrangian Method for Fine-Grained Multi-View Optimization AAAI 2024
Multi-View Randomized Kernel Classification via Nonconvex Optimization AAAI 2024
Single-Loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions NIPS 2024
TMPNN: High-Order Polynomial Regression Based on Taylor Map Factorization AAAI 2024
Dynamic Conditional Optimal Transport through Simulation-Free Flows NIPS 2024
Tensor-Based Synchronization and the Low-Rankness of the Block Trifocal Tensor NIPS 2024
A Specialized Semismooth Newton Method for Kernel-Based Optimal Transport AISTATS 2024
Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates AAAI 2024
Efficient Nonparametric Tensor Decomposition for Binary and Count Data AAAI 2024
Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems AAAI 2024
Inferring Neural Signed Distance Functions by Overfitting on Single Noisy Point Clouds through Finetuning Data-Driven based Priors NIPS 2024
A Generalized Neural Diffusion Framework on Graphs AAAI 2024