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Optimization & Theory

43,292 papers (3 classified directly here)

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

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

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52
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828
3,646
5,854
2000
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Papers (including subtopics)

Cost-Aware Optimized Front-Door Experimental Design CLeaR 2026 Cost-Minimized Label-Flipping Poisoning Attack to LLM Alignment AAAI 2026 Cost-Sensitive Conformal Training with Provably Controllable Learning Bounds AAAI 2026 COT-FM: Cluster-wise Optimal Transport Flow Matching CVPR 2026 Counterfactual eXplainable AI (XAI) Method for Deep Learning-Based Multivariate Time Series Classification AAAI 2026 Covariate-dependent Hierarchical Dirichlet Processes JMLR 2026 CP-Router: An Uncertainty-Aware Router Between LLM and LRM AAAI 2026 Crafting Adversarial Inputs for Large Vision-Language Models Using Black-Box Optimization EACL 2026 Credal Ensemble Distillation for Uncertainty Quantification AAAI 2026 Cross-Field Interface-Aware Neural Operators for Multiphase Flow Simulation AAAI 2026 Cross-Space Synergy: A Unified Framework for Multimodal Emotion Recognition in Conversation AAAI 2026 CSP4SDG: Constraint and Information-Theory Based Role Identification in Social Deduction Games with LLM-Enhanced Inference AAAI 2026 CTC Regularization for Low-Resource Speech-to-Text Translation EACL 2026 Cubing for Tuning AAAI 2026 CultureRL: Internalizing Cultural Principles in Large Language Models via Norm-Driven Reinforcement Learning AAAI 2026 Cumulant Attention in Vision Transformers (Student Abstract) AAAI 2026 Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation CVPR 2026 Cycle-Consistent Multi-Graph Matching for Self-Supervised Annotation of C. Elegans WACV 2026 CycleSL: Server-Client Cyclical Update Driven Scalable Split Learning WACV 2026 Cylindrical Lattice Embedding for Program Induction AAAI 2026 Data Augmentation: A Fourier Analysis Perspective COLT 2026 Data-Driven Lipschitz Continuity: A Cost-Effective Approach to Improve Adversarial Robustness WACV 2026 Data-Driven Loss Functions for Inference-Time Optimization in Text-to-Image WACV 2026 DCAC: Dynamic Class-Aware Cache Creates Stronger Out-of-Distribution Detectors AAAI 2026 DCatalyst: A Unified Accelerated Framework for Decentralized Optimization JMLR 2026