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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)

Eigenspectrum Analysis of Neural Networks without Aspect Ratio Bias ICML 2025 ELBOing Stein: Variational Bayes with Stein Mixture Inference ICLR 2025 E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time ICML 2025 Eliminating Majority Illusion Is Easy AAAI 2025 Elliptic Loss Regularization ICLR 2025 Elucidating Optimal Reward-Diversity Tradeoffs in Text-to-Image Diffusion Models WACV 2025 Elucidating the Preconditioning in Consistency Distillation ICLR 2025 Elucidating the Solution Space of Extended Reverse-Time SDE for Diffusion Models WACV 2025 Embedding-Converter: A Unified Framework for Cross-Model Embedding Transformation ACL 2025 EMControl: Adding Conditional Control to Text-to-Image Diffusion Models via Expectation-Maximization AAAI 2025 Emergence in non-neural models: grokking modular arithmetic via average gradient outer product ICML 2025 Emergence of a High-Dimensional Abstraction Phase in Language Transformers ICLR 2025 Emergence of Episodic Memory in Transformers: Characterizing Changes in Temporal Structure of Attention Scores During Training NAACL 2025 Emergence of Globally Attracting Fixed Points in Deep Neural Networks With Nonlinear Activations AISTATS 2025 Emerging Advances in Learned Video Compression: Models, Systems and Beyond IJCAI 2025 Empirical Error Estimates for Graph Sparsification AISTATS 2025 Empirical Evaluation of Loss Masking to Selectively Prevent Memorization ACL 2025 Empirical Privacy Variance ICML 2025 Empirical Study on Data Attributes Insufficiency of Evaluation Benchmarks for LLMs COLING 2025 Empowering LLM Agents with Zero-Shot Optimal Decision-Making through Q-learning ICLR 2025 Empowering LLMs with Logical Reasoning: A Comprehensive Survey IJCAI 2025 Empowering Quantum Serverless Circuit Deployment Optimization via Graph Contrastive Learning and Learning-to-Rank Co-designed Approaches IJCAI 2025 Empower Structure-Based Molecule Optimization with Gradient Guided Bayesian Flow Networks ICML 2025 Enabling Efficient GPU Communication over Multiple NICs with FuseLink OSDI 2025 Enabling Optimal Decisions in Rehearsal Learning under CARE Condition ICML 2025