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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)

Manipulating dropout reveals an optimal balance of efficiency and robustness in biological and machine visual systems ICLR 2024 MAP- and MLE-Based Teaching JMLR 2024 MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding ICLR 2024 MapLE: Matching Molecular Analogues Promptly with Low Computational Resources by Multi-Metrics Evaluation (Student Abstract) AAAI 2024 MAPO: Advancing Multilingual Reasoning through Multilingual-Alignment-as-Preference Optimization ACL 2024 Mapping back and forth between model predictive control and neural networks L4DC 2024 MAP’s not dead yet: Uncovering true language model modes by conditioning away degeneracy ACL 2024 MAPTree: Beating “Optimal” Decision Trees with Bayesian Decision Trees AAAI 2024 Marginal Causal Flows for Validation and Inference NeurIPS 2024 Margin Matching Preference Optimization: Enhanced Model Alignment with Granular Feedback EMNLP 2024 Markov Equivalence and Consistency in Differentiable Structure Learning NeurIPS 2024 Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows NeurIPS 2024 Masked Hard-Attention Transformers Recognize Exactly the Star-Free Languages NeurIPS 2024 Masked Structural Growth for 2x Faster Language Model Pre-training ICLR 2024 MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models NeurIPS 2024 Masks, Signs, And Learning Rate Rewinding ICLR 2024 MasonTigers at SemEval-2024 Task 1: An Ensemble Approach for Semantic Textual Relatedness SemEval 2024 MaSS: Multi-attribute Selective Suppression for Utility-preserving Data Transformation from an Information-theoretic Perspective ICML 2024 Mastering Zero-Shot Interactions in Cooperative and Competitive Simultaneous Games ICML 2024 MAST: Global Scheduling of ML Training across Geo-Distributed Datacenters at Hyperscale OSDI 2024 Matching the Statistical Query Lower Bound for k-Sparse Parity Problems with Sign Stochastic Gradient Descent NeurIPS 2024 Materials Discovery using Max K-Armed Bandit JMLR 2024 MathBench: Evaluating the Theory and Application Proficiency of LLMs with a Hierarchical Mathematics Benchmark ACL 2024 Mathematical Framework for Online Social Media Auditing JMLR 2024 Mathematical Justification of Hard Negative Mining via Isometric Approximation Theorem ICLR 2024