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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)

Can Transformers Learn Full Bayesian Inference in Context? ICML 2025 Can Unconfident LLM Annotations Be Used for Confident Conclusions? NAACL 2025 Can We Afford The Perfect Prompt? Balancing Cost and Accuracy with the Economical Prompting Index COLING 2025 Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies RSS 2025 Can We Predict Performance of Large Models across Vision-Language Tasks? ICML 2025 CaO2: Rectifying Inconsistencies in Diffusion-Based Dataset Distillation ICCV 2025 Capability Salience Vector: Fine-grained Alignment of Loss and Capabilities for Downstream Task Scaling Law ACL 2025 Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data ACL 2025 CAP: A General Algorithm for Online Selective Conformal Prediction with FCR Control JMLR 2025 CAPO: Cost-Aware Prompt Optimization AutoML 2025 CAPrompt: Cyclic Prompt Aggregation for Pre-Trained Model Based Class Incremental Learning AAAI 2025 CAPTURE: Evaluating Spatial Reasoning in Vision Language Models via Occluded Object Counting ICCV 2025 Capture Global Feature Statistics for One-Shot Federated Learning AAAI 2025 Capturing the Temporal Dependence of Training Data Influence ICLR 2025 CARFT: Boosting LLM Reasoning via Contrastive Learning with Annotated Chain-of-Thought-based Reinforced Fine-Tuning EMNLP 2025 CARL: A Framework for Equivariant Image Registration CVPR 2025 CARL: Causality-guided Architecture Representation Learning for an Interpretable Performance Predictor ICCV 2025 CARMA: Enhanced Compositionality in LLMs via Advanced Regularisation and Mutual Information Alignment EMNLP 2025 CARMO: Dynamic Criteria Generation for Context Aware Reward Modelling ACL 2025 CARP: Visuomotor Policy Learning via Coarse-to-Fine Autoregressive Prediction ICCV 2025 Cascaded Information Disclosure for Generalized Evaluation of Problem Solving Capabilities IJCNLP 2025 Case2Code: Scalable Synthetic Data for Code Generation COLING 2025 Case-Based Decision-Theoretic Decoding with Quality Memories EMNLP 2025 CASE: Large Scale Topic Exploitation for Decision Support Systems COLING 2025 Cassic: Towards Content-Adaptive State-Space Models for Learned Image Compression ICCV 2025