conftrace_

Optimization

14,850 papers (55 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Continuous Optimization (4,424) Stochastic Methods (2,991) Combinatorial Optimization (2,615) Online Algorithms (2,404) Optimization (1,521) Game Theory (1,046) Convex Optimization (864) Discrete Optimization (721) Optimal Transport (474) Sparse Optimization (416) Optimal Control (271) Global Optimization (200) Non-Convex Optimization (182) Distributed Learning (164) Approximation Algorithms (162) Multi-Objective Optimization (151) Distributed Optimization (136) Bayesian Optimization (132) Theory (109) Compressed Sensing (102) Algorithms (89) Robust Optimization (86) Submodular Optimization (77) Kernel Methods (75) Evolutionary Algorithm (72) Linear Programming (54) Tensor Decomposition (48) Bilevel Optimization (42) Integer Programming (38) Matrix Completion (33) Algorithm (21) Regularization (11)

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Papers (including subtopics)

LBM: Latent Bridge Matching for Fast Image-to-Image Translation ICCV 2025 Learn2Aggregate: Supervised Generation of Chvatal-Gomory Cuts Using Graph Neural Networks AAAI 2025 Learning Adversarial MDPs with Stochastic Hard Constraints ICML 2025 Learning and steering game dynamics towards desirable outcomes L4DC 2025 Learning-Augmented Algorithms for MTS with Bandit Access to Multiple Predictors ICML 2025 Learning-Augmented Frequent Directions ICLR 2025 Learning Bayesian Nash Equilibrium in Auction Games via Approximate Best Response ICML 2025 Learning Biomolecular Models using Signal Temporal Logic L4DC 2025 Learning Classifiers That Induce Markets ICML 2025 Learning Complexity of Gradient Descent and Conjugate Gradient Algorithms AAAI 2025 Learning Configurations for Data-Driven Multi-Objective Optimization ICML 2025 Learning Dynamical Coupled Operator For High-dimensional Black-box Partial Differential Equations IJCAI 2025 Learning-enabled Polynomial Lyapunov Function Synthesis via High-Accuracy Counterexample-Guided Framework CVPR 2025 Learning Global Nash Equilibrium in Team Competitive Games with Generalized Fictitious Cross-Play JMLR 2025 Learning Imperfect Information Extensive-form Games with Last-iterate Convergence under Bandit Feedback ICML 2025 Learning Initial Basis Selection for Linear Programming via Duality-Inspired Tripartite Graph Representation and Comprehensive Supervision ICML 2025 Learning Intersections of Two Margin Halfspaces under Factorizable Distributions COLT 2025 Learning Kolmogorov-Arnold Neural Activation Functions by Infinite-Dimensional Optimization L4DC 2025 Learning Mixtures of Experts with EM: A Mirror Descent Perspective ICML 2025 Learning Nash Equilibrium of Markov Potential Games with a Shared Constraint via Primal-Dual Optimization AAAI 2025 Learning Optimal Oblique Decision Trees with (Max)SAT IJCAI 2025 Learning Pareto manifolds in high dimensions: How can regularization help? AISTATS 2025 Learning Partitions with Optimal Query and Round Complexities COLT 2025 Learning Physics Informed Neural ODEs with Partial Measurements AAAI 2025 Learning Robust Neural Processes with Risk-Averse Stochastic Optimization ICML 2025