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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)

Understanding Matrix Function Normalizations in Covariance Pooling through the Lens of Riemannian Geometry ICLR 2025 Understanding Mode Connectivity via Parameter Space Symmetry ICML 2025 Understanding Model Ensemble in Transferable Adversarial Attack ICML 2025 Understanding Multi-layered Transmission Matrices CVPR 2025 Understanding Nonlinear Implicit Bias via Region Counts in Input Space ICML 2025 Understanding Optimization in Deep Learning with Central Flows ICLR 2025 Understanding Reference Policies in Direct Preference Optimization NAACL 2025 Understanding Sharpness Dynamics in NN Training with a Minimalist Example: The Effects of Dataset Difficulty, Depth, Stochasticity, and More ICML 2025 Understanding Silent Data Corruption in LLM Training ACL 2025 Understanding Stragglers in Large Model Training Using What-if Analysis OSDI 2025 Understanding the difficulties of posterior predictive estimation ICML 2025 Understanding the Forgetting of (Replay-based) Continual Learning via Feature Learning: Angle Matters ICML 2025 Understanding the Impact of Confidence in Retrieval Augmented Generation: A Case Study in the Medical Domain ACL 2025 Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems EMNLP 2025 Understanding the Language Model to Solve the Symbolic Multi-Step Reasoning Problem from the Perspective of Buffer Mechanism EMNLP 2025 Understanding the Learning Dynamics of LoRA: A Gradient Flow Perspective on Low-Rank Adaptation in Matrix Factorization AISTATS 2025 Understanding the RoPE Extensions of Long-Context LLMs: An Attention Perspective COLING 2025 Understanding the Stability-based Generalization of Personalized Federated Learning ICLR 2025 Understanding the Statistical Accuracy-Communication Trade-off in Personalized Federated Learning with Minimax Guarantees ICML 2025 Understanding the Thinking Process of Reasoning Models: A Perspective from Schoenfeld’s Episode Theory EMNLP 2025 Understanding Virtual Nodes: Oversquashing and Node Heterogeneity ICLR 2025 Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape View ICLR 2025 UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning CVPR 2025 U-Nets as Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical Models ICLR 2025 Unfolding-Associative Encoder-Decoder Network with Progressive Alignment for Pansharpening ICCV 2025