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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
352
828
3,646
5,854
2000
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Papers (including subtopics)

BayesVQA: Energy-Guided Bayesian Debiasing for Language-Bias-Robust Visual Question Answering AAAI 2026 BCE3S: Binary Cross-Entropy Based Tripartite Synergistic Learning for Long-Tailed Recognition AAAI 2026 Behavior Regularization with Flow Latent Policy for Offline Reinforcement Learning AAAI 2026 Benchmarking LLMs’ Mathematical Reasoning with Unseen Random Variables Questions AAAI 2026 Benchmarking the Energy Savings with Speculative Decoding Strategies EACL 2026 Benign Overfitting with Quantum Kernels UAI 2026 Best Arm Identification with Biased Contexts AAAI 2026 Best Arm Identification with Minimal Regret JMLR 2026 Best-Effort Policies for Robust Markov Decision Processes AAAI 2026 Better Datasets Start from RefineLab: Automatic Optimization for High-Quality Dataset Refinement AAAI 2026 Beyond Adapter Retrieval: Latent Geometry-Preserving Composition via Sparse Task Projection AAAI 2026 Beyond Binary Classification: A Semi-supervised Approach to Generalized AI-generated Image Detection AAAI 2026 Beyond Binary Erasure: Soft-Weighted Unlearning for Fairness and Robustness AAAI 2026 Beyond Discrepancy: A Closer Look at the Theory of Distribution Shift ALT 2026 Beyond Euclidean Gossip: KL-Barycentric Consensus on Heterogeneous and Imbalanced Images CVPR 2026 Beyond Grid Search: Leveraging Bayesian Optimization for Accelerating RAG Pipeline Optimization EACL 2026 Beyond Mixtures and Products for Ensemble Aggregation: A Likelihood Perspective on Generalized Means UAI 2026 Beyond Monotonicity: Revisiting Factorization Principles in Multi-Agent Q-Learning AAAI 2026 Beyond MSE: Ordinal Cross-Entropy for Probabilistic Time Series Forecasting AAAI 2026 Beyond Random Sampling: Efficient Language Model Pretraining via Curriculum Learning EACL 2026 Beyond Sharpness: A Flatness Decomposition Framework for Efficient Continual Learning AAAI 2026 Beyond Sharpness: The Role of Nonuniformity in Generalization AAAI 2026 Beyond Step Pruning: Information Theory Based Step-level Optimization for Self-Refining Large Language Models AAAI 2026 Beyond the Lower Bound: Bridging Regret Minimization and Best Arm Identification in Lexicographic Bandits AAAI 2026 Beyond the Mean: Fisher-Orthogonal Projection for Natural Gradient Descent in Large Batch Training AAAI 2026