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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

1
52
352
828
3,646
5,854
2000
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'25

Papers (including subtopics)

Competition Dynamics Shape Algorithmic Phases of In-Context Learning ICLR 2025 Competitive Fair Scheduling with Predictions ICLR 2025 CompileAgent: Automated Real-World Repo-Level Compilation with Tool-Integrated LLM-based Agent System ACL 2025 Complementarity-Free Multi-Contact Modeling and Optimization for Dexterous Manipulation RSS 2025 Complete Symmetry Breaking for Finite Models AAAI 2025 Complexity Experts are Task-Discriminative Learners for Any Image Restoration CVPR 2025 Complexity Lower Bounds of Adaptive Gradient Algorithms for Non-convex Stochastic Optimization under Relaxed Smoothness ICLR 2025 Complexity of Injectivity and Verification of ReLU Neural Networks (Extended Abstract) COLT 2025 Composite Goodness-of-fit Tests with Kernels JMLR 2025 Compositional simulation-based inference for time series ICLR 2025 Compositional Targeted Multi-Label Universal Perturbations CVPR 2025 Compound AI Systems Optimization: A Survey of Methods, Challenges, and Future Directions EMNLP 2025 Comprehensive Information Bottleneck for Unveiling Universal Attribution to Interpret Vision Transformers CVPR 2025 Comprehensive Review of Neural Differential Equations for Time Series Analysis IJCAI 2025 Compressing Streamable Free-Viewpoint Videos to 0.1 MB per Frame AAAI 2025 Compressing tree ensembles through Level-wise Optimization and Pruning ICML 2025 Computable learning of natural hypothesis classes COLT 2025 Computationally Efficient Methods for Invariant Feature Selection with Sparsity UAI 2025 Computationally efficient reductions between some statistical models ALT 2025 Computationally Efficient RL under Linear Bellman Completeness for Deterministic Dynamics ICLR 2025 Computationally Hard Problems Are Hard for QBF Proof Systems Too AAAI 2025 Computation-Aware Kalman Filtering and Smoothing AISTATS 2025 Compute-Constrained Data Selection ICLR 2025 Compute-Optimal LLMs Provably Generalize Better with Scale ICLR 2025 Compute Optimal Scaling of Skills: Knowledge vs Reasoning ACL 2025