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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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Papers (including subtopics)

Language Models Are Implicitly Continuous ICLR 2025 Language Models can Categorize System Inputs for Performance Analysis NAACL 2025 Language Models Can Easily Learn to Reason from Demonstrations EMNLP 2025 Language models can learn implicit multi-hop reasoning, but only if they have lots of training data EMNLP 2025 Language Models Encode Numbers Using Digit Representations in Base 10 NAACL 2025 Language Models Encode the Value of Numbers Linearly COLING 2025 Language Models “Grok” to Copy NAACL 2025 Language Models Grow Less Humanlike beyond Phase Transition ACL 2025 Language Models Learn to Mislead Humans via RLHF ICLR 2025 Language Models Need Inductive Biases to Count Inductively ICLR 2025 Language Models Resist Alignment: Evidence From Data Compression ACL 2025 Language models scale reliably with over-training and on downstream tasks ICLR 2025 Laplace Meets Moreau: Smooth Approximation to Infimal Convolutions Using Laplace's Method JMLR 2025 Laplace Sample Information: Data Informativeness Through a Bayesian Lens ICLR 2025 Laplace Transform Based Low-Complexity Learning of Continuous Markov Semigroups ICML 2025 Large Continual Instruction Assistant ICML 2025 Large Covariance Matrix Estimation With Nonnegative Correlations AISTATS 2025 Large Language and Protein Assistant for Protein-Protein Interactions Prediction ACL 2025 Large Language and Reasoning Models are Shallow Disjunctive Reasoners ACL 2025 Large Language Model-driven Large Neighborhood Search for Large-Scale MILP Problems ICML 2025 Large Language Model Evaluation via Matrix Nuclear-Norm EMNLP 2025 Large Language Model Meets Constraint Propagation IJCAI 2025 Large Language Models as an Indirect Reasoner: Contrapositive and Contradiction for Automated Reasoning COLING 2025 Large Language Models Badly Generalize across Option Length, Problem Types, and Irrelevant Noun Replacements EMNLP 2025 Large Language Models Can Solve Real-World Planning Rigorously with Formal Verification Tools NAACL 2025