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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)

PoseAnchor: Robust Root Position Estimation for 3D Human Pose Estimation ICCV 2025 Pose Magic: Efficient and Temporally Consistent Human Pose Estimation with a Hybrid Mamba-GCN Network AAAI 2025 PoseMamba: Monocular 3D Human Pose Estimation with Bidirectional Global-Local Spatio-Temporal State Space Model AAAI 2025 Position: AI Competitions Provide the Gold Standard for Empirical Rigor in GenAI Evaluation ICML 2025 Positional Attention: Expressivity and Learnability of Algorithmic Computation ICML 2025 Position: All Current Generative Fidelity and Diversity Metrics are Flawed ICML 2025 Positional Overload: Positional Debiasing and Context Window Extension for Large Language Models using Set Encoding ACL 2025 Position: An Empirically Grounded Identifiability Theory Will Accelerate Self Supervised Learning Research ICML 2025 Position: A Theory of Deep Learning Must Include Compositional Sparsity ICML 2025 Position: Constants are Critical in Regret Bounds for Reinforcement Learning ICML 2025 Position: Deep Learning is Not So Mysterious or Different ICML 2025 Position: Don’t Use the CLT in LLM Evals With Fewer Than a Few Hundred Datapoints ICML 2025 Position: Graph Matching Systems Deserve Better Benchmarks ICML 2025 Position Information Emerges in Causal Transformers Without Positional Encodings via Similarity of Nearby Embeddings COLING 2025 Position: Lifetime tuning is incompatible with continual reinforcement learning ICML 2025 Position: The Future of Bayesian Prediction Is Prior-Fitted ICML 2025 Positive Text Reframing under Multi-strategy Optimization COLING 2025 Positive-unlabeled AUC Maximization under Covariate Shift ICML 2025 PossLoss: A Reliable and Sensitive Facial Landmark Detection Loss Function ICCV 2025 Posterior and Variational Inference for Deep Neural Networks with Heavy-Tailed Weights JMLR 2025 Posterior Concentrations of Fully-Connected Bayesian Neural Networks with General Priors on the Weights JMLR 2025 posteriordb: Testing, Benchmarking and Developing Bayesian Inference Algorithms AISTATS 2025 Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization ICML 2025 Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration ICLR 2025 Post-hoc Reward Calibration: A Case Study on Length Bias ICLR 2025