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)

Papers per year

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102

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Papers (including subtopics)

A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization ICML 2025 A Unified Framework for Generalization Error Analysis of Learning with Arbitrary Discrete Weak Features ICML 2025 A Unified Model of Direct and Indirect Reciprocity in Multichannel Games AAAI 2025 A Unified Theory of Supervised Online Learnability ALT 2025 A Unified View on Learning Unnormalized Distributions via Noise-Contrastive Estimation ICML 2025 AutoCATE: End-to-End, Automated Treatment Effect Estimation ICML 2025 Automated Proof of Polynomial Inequalities via Reinforcement Learning CVPR 2025 Automatic Differentiation of Optimization Algorithms with Time-Varying Updates ICML 2025 Automatic Selection of Macro-Events for Heuristic-Search Temporal Planning AAAI 2025 Automating the loop in traffic incident management on highway L4DC 2025 AutoML Algorithms for Online Generalized Additive Model Selection: Application to Electricity Demand Forecasting AutoML 2025 AutoStep: Locally adaptive involutive MCMC ICML 2025 Avoiding Catastrophe in Online Learning by Asking for Help ICML 2025 A Weighted-Based Fast Local Search for α-Neighbor p-Center Problem IJCAI 2025 Axiomatic Explainer Globalness via Optimal Transport AISTATS 2025 Axioms for AI Alignment from Human Feedback AAAI 2025 B2Opt: Learning to Optimize Black-box Optimization with Little Budget AAAI 2025 Backward Filtering Forward Guiding JMLR 2025 Balanced Adaptive Subspace Collaboration for Mixed Pareto-Lexicographic Multi-Objective Problems with Priority Levels AAAI 2025 Balanced and Fair Partitioning of Friends AAAI 2025 Balanced Rate-Distortion Optimization in Learned Image Compression CVPR 2025 Balancing Bias in Two-sided Markets for Fair Stable Matchings ICLR 2025 Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach ICML 2025 Balans: Multi-Armed Bandits-based Adaptive Large Neighborhood Search for Mixed-Integer Programming Problems IJCAI 2025 BARK: A Fully Bayesian Tree Kernel for Black-box Optimization ICML 2025