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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
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2000
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Papers (including subtopics)

Impute Missing Entries with Uncertainty AAAI 2026 Incomplete Multi-View Unsupervised Federated Feature Selection via Cooperative Particle Swarm Optimization and Tensor-Aligned Learning AAAI 2026 Inconsistency-aware Multimodal Schrodinger Bridge for Deepfake Localization CVPR 2026 Incorporating Self-Rewriting into Large Language Model Reasoning Reinforcement AAAI 2026 Incremental Maintenance of DatalogMTL Materialisations AAAI 2026 Inference-Aware Prompt Optimization for Aligning Black-Box Large Language Models AAAI 2026 Inference for quantile-parametrized families via CDF confidence bands UAI 2026 Inference Scaling Law for Retrieval Augmented Generation AAAI 2026 Inference-time Scaling for Diffusion-based Audio Super-resolution AAAI 2026 Inference with non-differentiable surrogate loss in a general high-dimensional classification framework JMLR 2026 Inferring Heterogeneous Private Valuations from Offline Market Data via Entropic Risk-Sensitive Utility Maximization AAAI 2026 InfoCom: Kilobyte-Scale Communication-Efficient Collaborative Perception with Information Bottleneck AAAI 2026 InfoDecom: Decomposing Information for Defending Against Privacy Leakage in Split Inference AAAI 2026 InfoQ: Mixed-Precision Quantization via Global Information Flow AAAI 2026 Information-computation gaps in quantum learning via low-degree likelihood COLT 2026 Information-Theoretic Bayesian Optimization for Bilevel Optimization Problems UAI 2026 Information-Theoretic Causal Bounds under Unmeasured Confounding CLeaR 2026 Information-Theoretic Decomposition for Multimodal Interaction Learning CVPR 2026 Information Theoretic Optimal Surveillance for Epidemic Prevalence in Networks AAAI 2026 Information-Theoretic Storage Cost in Sentence Comprehension CoNLL 2026 Information-Theoretic Thresholds for Bipartite Latent-Space Graphs Under Noisy Observations COLT 2026 Injection, Attack and Erasure: Revocable Backdoor Attacks via Machine Unlearning AAAI 2026 Instance Generation for Meta-Black-Box Optimization Through Latent Space Reverse Engineering AAAI 2026 Instance-optimal high-precision shadow tomography with few-copy measurements: A metrological approach COLT 2026 Instrumental variables system identification with L^p consistency L4DC 2026