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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)

Higher-Order Ratio Cycles for Fast and Globally Optimal Shape Matching CVPR 2025 Highly Parallelized Reinforcement Learning Training with Relaxed Assignment Dependencies AAAI 2025 High Probability Bound for Cross-Learning Contextual Bandits with Unknown Context Distributions ICML 2025 High-probability Convergence Bounds for Online Nonlinear Stochastic Gradient Descent under Heavy-tailed Noise AISTATS 2025 HiRA: Parameter-Efficient Hadamard High-Rank Adaptation for Large Language Models ICLR 2025 HMoE: Heterogeneous Mixture of Experts for Language Modeling EMNLP 2025 Holistically Evaluating the Environmental Impact of Creating Language Models ICLR 2025 Holmes: Localizing Irregularities in LLM Training with Mega-scale GPU Clusters NSDI 2025 Homomorphism Expressivity of Spectral Invariant Graph Neural Networks ICLR 2025 HoPE: A Novel Positional Encoding Without Long-Term Decay for Enhanced Context Awareness and Extrapolation ACL 2025 HOPE for a Robust Parameterization of Long-memory State Space Models ICLR 2025 Horizon Generalization in Reinforcement Learning ICLR 2025 HOT: Hadamard-based Optimized Training CVPR 2025 HotSpot: Signed Distance Function Optimization with an Asymptotically Sufficient Condition CVPR 2025 Howard University - AI4PC at SemEval-2025 Task 3: Logit-based Supervised Token Classification for Multilingual Hallucination Span Identification Using XGBOD SemEval 2025 How Distributed Collaboration Influences the Diffusion Model Training? A Theoretical Perspective ICML 2025 How DNNs break the Curse of Dimensionality: Compositionality and Symmetry Learning ICLR 2025 How Does Critical Batch Size Scale in Pre-training? ICLR 2025 How Does DPO Reduce Toxicity? A Mechanistic Neuron-Level Analysis EMNLP 2025 How does Labeling Error Impact Contrastive Learning? A Perspective from Data Dimensionality Reduction ICML 2025 How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? AAAI 2025 How Do Large Language Models Perform on PDE Discovery: A Coarse-to-fine Perspective EMNLP 2025 How Do Large Language Monkeys Get Their Power (Laws)? ICML 2025 How do Transformer Embeddings Represent Compositions? A Functional Analysis ACL 2025 How efficient is LLM-generated code? A rigorous & high-standard benchmark ICLR 2025