Continuous Optimization
4,424 papers
Papers per year
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Papers
Addressing Misspecification in Simulation-based Inference through Data-driven Calibration
ICML 2025
A Decentralized Proximal Gradient Tracking Algorithm for Composite Optimization on Riemannian Manifolds
JMLR 2025
Affine Rank Minimization via Asymptotic Log-Det Iteratively Reweighted Least Squares
JMLR 2025
A Generalization Result for Convergence in Learning-to-Optimize
ICML 2025
AKORN: Adaptive Knots generated Online for RegressioN splines
ICML 2025
An Adaptive Parameter-free and Projection-free Restarting Level Set Method for Constrained Convex Optimization Under the Error Bound Condition
JMLR 2025
An Elite-guided Weighted Simulated Annealing Algorithm for the Clique Partitioning Problem
AAAI 2025
An Enhanced Levenberg--Marquardt Method via Gram Reduction
AAAI 2025
An Error Analysis of Flow Matching for Deep Generative Modeling
ICML 2025
A New Random Reshuffling Method for Nonsmooth Nonconvex Finite-sum Optimization
JMLR 2025
An Inverse Optimization Approach to Contextual Inverse Optimization
IJCAI 2025
Annealing Flow Generative Models Towards Sampling High-Dimensional and Multi-Modal Distributions
ICML 2025
An Online Adaptive Sampling Algorithm for Stochastic Difference-of-convex Optimization with Time-varying Distributions
ICML 2025
Anytime Acceleration of Gradient Descent
COLT 2025
A Plug-and-Play Bregman ADMM Module for Inferring Event Branches in Temporal Point Processes
AAAI 2025
Approximate Differential Privacy of the ℓ_2 Mechanism
ICML 2025
Approximating Metric Magnitude of Point Sets
AAAI 2025
Are all models wrong? Fundamental limits in distribution-free empirical model falsification
COLT 2025
Armijo Line-search Can Make (Stochastic) Gradient Descent Provably Faster
ICML 2025
ASTRA: A Negotiation Agent with Adaptive and Strategic Reasoning via Tool-integrated Action for Dynamic Offer Optimization
EMNLP 2025
Augmented Mass-Spring Model for Real-Time Dense Hair Simulation
ICCV 2025
A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization
ICML 2025
AutoCATE: End-to-End, Automated Treatment Effect Estimation
ICML 2025
Automatic Differentiation of Optimization Algorithms with Time-Varying Updates
ICML 2025
Balanced Rate-Distortion Optimization in Learned Image Compression
CVPR 2025