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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)

HARDMath: A Benchmark Dataset for Challenging Problems in Applied Mathematics ICLR 2025 Hardware-Aware Parallel Prompt Decoding for Memory-Efficient Acceleration of LLM Inference EMNLP 2025 Harnessing Heterogeneous Statistical Strength for Personalized Federated Learning via Hierarchical Bayesian Inference ICML 2025 Harnessing the Power of Vicinity-Informed Analysis for Classification under Covariate Shift AISTATS 2025 HARP: Hesitation-Aware Reframing in Transformer Inference Pass NAACL 2025 Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks ICML 2025 Has the Deep Neural Network learned the Stochastic Process? An Evaluation Viewpoint ICLR 2025 HAVER: Instance-Dependent Error Bounds for Maximum Mean Estimation and Applications to Q-Learning and Monte Carlo Tree Search AISTATS 2025 Hazard Function Guided Agent-Based Models: A Case Study of Return Migration from Poland to Ukraine IJCAI 2025 HazeFlow: Revisit Haze Physical Model as ODE and Non-Homogeneous Haze Generation for Real-World Dehazing ICCV 2025 HD-PiSSA: High-Rank Distributed Orthogonal Adaptation EMNLP 2025 HEAL: A Hypothesis-Based Preference-Aware Analysis Framework EMNLP 2025 HEAP: Hyper Extended A-PDHG Operator for Constrained High-dim PDEs ICML 2025 Hearing Hands: Generating Sounds from Physical Interactions in 3D Scenes CVPR 2025 HeatFormer: A Neural Optimizer for Multiview Human Mesh Recovery CVPR 2025 Heatmap Regression without Soft-Argmax for Facial Landmark Detection ICCV 2025 Heavy-Tailed Diffusion Models ICLR 2025 Heavy-Tailed Diffusion with Denoising Levy Probabilistic Models ICLR 2025 Heavy-Tailed Linear Bandits: Huber Regression with One-Pass Update ICML 2025 Hedging and Approximate Truthfulness in Traditional Forecasting Competitions AAAI 2025 HEDS 3.0: The Human Evaluation Data Sheet Version 3.0 ACL 2025 HELENE: Hessian Layer-wise Clipping and Gradient Annealing for Accelerating Fine-tuning LLM with Zeroth-order Optimization EMNLP 2025 HELMET: How to Evaluate Long-context Models Effectively and Thoroughly ICLR 2025 HeMoRa: Unsupervised Heuristic Consensus Sampling for Robust Point Cloud Registration CVPR 2025 HERMES: temporal-coHERent long-forM understanding with Episodes and Semantics ICCV 2025