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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)

A Reductions Approach to Risk-Sensitive Reinforcement Learning with Optimized Certainty Equivalents ICML 2025 Are Ensembles Getting Better All the Time? JMLR 2025 Are Large Language Models Fluent in Declarative Process Mining? IJCAI 2025 Arena-lite: Efficient and Reliable Large Language Model Evaluation via Tournament-Based Direct Comparisons EMNLP 2025 A Renormalization Group Framework for Scale-Invariant Feature Learning in Deep Neural Networks (Student Abstract) AAAI 2025 Are Optimal Algorithms Still Optimal? Rethinking Sorting in LLM-Based Pairwise Ranking with Batching and Caching ACL 2025 A Reproduction Study: The Kernel PCA Interpretation of Self-Attention Fails Under Scrutiny ACL 2025 A Rescaling-Invariant Lipschitz Bound Based on Path-Metrics for Modern ReLU Network Parameterizations ICML 2025 Are You Doing Better Than Random Guessing? A Call for Using Negative Controls When Evaluating Causal Discovery Algorithms UAI 2025 Are you sure? Measuring models bias in content moderation through uncertainty EMNLP 2025 ARIG: Autoregressive Interactive Head Generation for Real-time Conversations ICCV 2025 ARise: Towards Knowledge-Augmented Reasoning via Risk-Adaptive Search ACL 2025 Arithmetic Transformers Can Length-Generalize in Both Operand Length and Count ICLR 2025 Armijo Line-search Can Make (Stochastic) Gradient Descent Provably Faster ICML 2025 A Robust Kernel Statistical Test of Invariance: Detecting Subtle Asymmetries AISTATS 2025 AROMA: Autonomous Rank-one Matrix Adaptation EMNLP 2025 ARPDL: Adaptive Relational Prior Distribution Loss as an Adapter for Document-Level Relation Extraction IJCAI 2025 ArrayDPS: Unsupervised Blind Speech Separation with a Diffusion Prior ICML 2025 A Second-Order Perspective on Model Compositionality and Incremental Learning ICLR 2025 A Selective Learning Method for Temporal Graph Continual Learning ICML 2025 A Short Information-Theoretic Analysis of Linear Auto-Regressive Learning L4DC 2025 A Solvable Attention for Neural Scaling Laws ICLR 2025 ASPO: Adaptive Sentence-Level Preference Optimization for Fine-Grained Multimodal Reasoning ACL 2025 Assessing Large Language Models on Islamic Legal Reasoning: Evidence from Inheritance Law Evaluation EMNLP 2025 Assessing Pre-Trained Models for Transfer Learning Through Distribution of Spectral Components AAAI 2025