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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)

DeLTa: A Decoding Strategy based on Logit Trajectory Prediction Improves Factuality and Reasoning Ability EMNLP 2025 Delta-NAS: Difference of Architecture Encoding for Predictor-Based Evolutionary Neural Architecture Search WACV 2025 DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillation CVPR 2025 Democratic Training Against Universal Adversarial Perturbations ICLR 2025 Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models ACL 2025 Demonstration Selection for In-Context Learning via Reinforcement Learning ICML 2025 Demystifying Catastrophic Forgetting in Two-Stage Incremental Object Detector ICML 2025 Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts ICLR 2025 Demystifying optimized prompts in language models EMNLP 2025 Demystifying Synthetic Data in LLM Pre-training: A Systematic Study of Scaling Laws, Benefits, and Pitfalls EMNLP 2025 Demystifying the Token Dynamics of Deep Selective State Space Models ICLR 2025 Demystifying Topological Message-Passing with Relational Structures: A Case Study on Oversquashing in Simplicial Message-Passing ICLR 2025 Dendritic Localized Learning: Toward Biologically Plausible Algorithm ICML 2025 Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors AAAI 2025 DenseSSM: State Space Models with Dense Hidden Connection for Efficient Large Language Models NAACL 2025 Density Estimation Using the Perceptron JMLR 2025 Density estimation with LLMs: a geometric investigation of in-context learning trajectories ICLR 2025 Density Ratio Estimation-based Bayesian Optimization with Semi-Supervised Learning ICML 2025 Density Ratio Estimation via Sampling along Generalized Geodesics on Statistical Manifolds AISTATS 2025 Density Ratio Estimation with Conditional Probability Paths ICML 2025 Dependent Randomized Rounding for Budget Constrained Experimental Design UAI 2025 depyf: Open the Opaque Box of PyTorch Compiler for Machine Learning Researchers JMLR 2025 DEQ-MPC : Deep Equilibrium Model Predictive Control CoRL 2025 Derailer-Rerailer: Adaptive Verification for Efficient and Reliable Language Model Reasoning ACL 2025 (De)-regularized Maximum Mean Discrepancy Gradient Flow JMLR 2025