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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)

From Individual Experience to Collective Evidence: A Reporting-Based Framework for Identifying Systemic Harms ICML 2025 From Individual to Universal: Regularized Multi-view Joint Representation for Multi-view Subspace-Preserving Recovery IJCAI 2025 From Input Perception to Predictive Insight: Modeling Model Blind Spots Before They Become Errors EMNLP 2025 From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning ICML 2025 From Laboratory to Real World: A New Benchmark Towards Privacy-Preserved Visible-Infrared Person Re-Identification CVPR 2025 From Layers to States: A State Space Model Perspective to Deep Neural Network Layer Dynamics ICLR 2025 From Lazy to Rich: Exact Learning Dynamics in Deep Linear Networks ICLR 2025 From Learning to Optimize to Learning Optimization Algorithms AISTATS 2025 From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes AAAI 2025 From n-gram to Attention: How Model Architectures Learn and Propagate Bias in Language Modeling EMNLP 2025 From Parameters to Performance: A Data-Driven Study on LLM Structure and Development EMNLP 2025 From PEFT to DEFT: Parameter Efficient Finetuning for Reducing Activation Density in Transformers AAAI 2025 From Perceptions to Decisions: Wildfire Evacuation Decision Prediction with Behavioral Theory-informed LLMs ACL 2025 From Problem-Solving to Teaching Problem-Solving: Aligning LLMs with Pedagogy using Reinforcement Learning EMNLP 2025 From Promise to Practice: Realizing High-performance Decentralized Training ICLR 2025 From Reflection to Perfection: Scaling Inference-Time Optimization for Text-to-Image Diffusion Models via Reflection Tuning ICCV 2025 From Remembering to Metacognition: Do Existing Benchmarks Accurately Evaluate LLMs? EMNLP 2025 From Risk to Uncertainty: Generating Predictive Uncertainty Measures via Bayesian Estimation ICLR 2025 From Sparse Dependence to Sparse Attention: Unveiling How Chain-of-Thought Enhances Transformer Sample Efficiency ICLR 2025 From Sparse to Dense Functional Data in High Dimensions: Revisiting Phase Transitions from a Non-Asymptotic Perspective JMLR 2025 From Stories to Statistics: Methodological Biases in LLM-Based Narrative Flow Quantification CoNLL 2025 From Teacher to Student: Tracking Memorization Through Model Distillation ACL 2025 From Theory to Practice: Rethinking Green and Martin Kernels for Unleashing Graph Transformers ICML 2025 From Tokens to Lattices: Emergent Lattice Structures in Language Models ICLR 2025 From Token to Action: State Machine Reasoning to Mitigate Overthinking in Information Retrieval EMNLP 2025