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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)

Beyond Tokens: Dynamic Latent Reasoning via Semantic Residual Refinement AAAI 2026 Beyond Top Activations: Efficient and Reliable Crowdsourced Evaluation of Automated Interpretability CVPR 2026 Beyond Unconstrained Features: Neural Collapse for Shallow Neural Networks with General Data JMLR 2026 BiCycle: Group-wise Recursive Transformer Based on ASR Mechanism AAAI 2026 BidMatch: Boosting Semi-Supervised Learning by Bi-Dimensional Sample Weight Guidance AAAI 2026 Bi-Level Contextual Bandits for Individualized Resource Allocation Under Delayed Feedback AAAI 2026 Bi-Level Preference Optimization for Retrieval-Augmented Generation (Student Abstract) AAAI 2026 BiO-HMC: Dynamic Human-Machine Collaboration for Consensus Decision-Making via Bilevel Optimization AAAI 2026 BIQ: Bisection Interval Quantization for Communication-efficient Federated Learning AAAI 2026 BitDP: Ultra-low-bit Communication for Data Parallelism in LLM Training AAAI 2026 Blackwell Approachability and Gradient Equilibrium are Equivalent COLT 2026 BLEnD-Vis: Benchmarking Multimodal Cultural Understanding in Vision Language Models EACL 2026 Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds AAAI 2026 BLUR: A Bi-Level Optimization Approach for LLM Unlearning EACL 2026 Boomda: Balanced Multi-objective Optimization for Multimodal Domain Adaptation AAAI 2026 Boosted Control Functions: Distribution Generalization and Invariance in Confounded Models JMLR 2026 Boosting Adversarial Transferability via Ensemble Non-Attention AAAI 2026 Boosting Cross-problem Generalization in Diffusion-Based Neural Combinatorial Solver via Inference Time Adaptation AAAI 2026 Boosting Fine-Grained Urban Flow Inference via Lightweight Architecture and Focalized Optimization AAAI 2026 Boosting with List-Decodable Codes COLT 2026 Bootstrapping LLMs via Preference-Based Policy Optimization AAAI 2026 BOP-Distrib: Revisiting 6D Pose Estimation Benchmarks for Better Evaluation under Visual Ambiguities WACV 2026 Bound to Disagree: Generalization Bounds via Certifiable Surrogates UAI 2026 Branch, or Layer? Zeroth-Order Optimization for Continual Learning of Vision-Language Models AAAI 2026 Breaking Cross-View Associations: Byzantine Model Poisoning Attack against Vertical Federated Learning AAAI 2026