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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
5,854
2000
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Papers (including subtopics)

ProRefine: Inference-Time Prompt Refinement with Textual Feedback (Student Abstract) AAAI 2026 Provable Guarantees For Robust Feature Selection in Sparse Linear Models in High-Dimensions UAI 2026 Provable Learning of Random Hierarchy Models and Hierarchical Shallow-to-Deep Chaining COLT 2026 Provable Subspace Identification of Nonlinear Multi-view CCA UAI 2026 Provably Correct k-Means Clustering of Persistence Diagrams UAI 2026 Provably Data-Driven Projection Method for Quadratic Programming AAAI 2026 Provably Efficient Reinforcement Learning in Continuous-Time Episodic MDPs with Poisson Decision Epochs UAI 2026 Prune&Comp: Free Lunch for Layer-Pruned LLMs via Iterative Pruning with Magnitude Compensation AAAI 2026 PSEO: Optimizing Post-hoc Stacking Ensemble Through Hyperparameter Tuning AAAI 2026 Pseudo-Spiking Neurons: A Noise-Based Training Framework for Heterogeneous-Latency Spiking Neural Networks AAAI 2026 PSPO: Prompt-Level Prioritization and Experience-Weighted Smoothing for Efficient Policy Optimization AAAI 2026 PT-DCFR: Accelerating and Improving Deep CFR Using Population Based Training (Student Abstract) AAAI 2026 PUFM: Efficient Point Cloud Upsampling via Flow Matching AAAI 2026 Put the Space of LoRA Initialization to the Extreme to Preserve Pre-trained Knowledge AAAI 2026 PVeRA: Probabilistic Vector-Based Random Matrix Adaptation WACV 2026 py/cuTAGI: An Open-Source Library for Tractable Approximate Gaussian Inference in Bayesian Neural Networks JMLR 2026 qa-FLoRA: Data-free query-adaptive Fusion of LoRAs for LLMs AAAI 2026 QAL : A Loss for Recall-Precision Balance in 3D Reconstruction WACV 2026 Q Cache: Visual Attention Is Valuable in Less than Half of Decode Layers for Multimodal Large Language Model AAAI 2026 QCFace: Image Quality Control for boosting Face Representation & Recognition WACV 2026 QiMeng-Kernel: Macro-Thinking Micro-Coding Paradigm for LLM-Based High-Performance GPU Kernel Generation AAAI 2026 QuadraNet V2: Efficient and Sustainable Training of High-Order Neural Networks with Quadratic Adaptation WACV 2026 QuanTaxo: A Quantum Approach to Self-Supervised Taxonomy Expansion AAAI 2026 Quantifying and Improving Adaptivity in Conformal Prediction Through Input Transformations AAAI 2026 Quantifying the Limits of Segmentation Foundation Models: Modeling Challenges in Segmenting Tree-Like and Low-Contrast Objects WACV 2026