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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)

DiffFNO: Diffusion Fourier Neural Operator CVPR 2025 Difficulty-aware Balancing Margin Loss for Long-tailed Recognition AAAI 2025 DiffIM: Differentiable Influence Minimization with Surrogate Modeling and Continuous Relaxation AAAI 2025 DiffPO: Diffusion-styled Preference Optimization for Inference Time Alignment of Large Language Models ACL 2025 DiffPuter: Empowering Diffusion Models for Missing Data Imputation ICLR 2025 DiffQRCoder: Diffusion-Based Aesthetic QR Code Generation with Scanning Robustness Guided Iterative Refinement WACV 2025 DiffSkip: Differential Layer Skipping in Large Language Models ACL 2025 Diffusing States and Matching Scores: A New Framework for Imitation Learning ICLR 2025 Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning ICLR 2025 Diffusion Actor-Critic: Formulating Constrained Policy Iteration as Diffusion Noise Regression for Offline Reinforcement Learning ICLR 2025 Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models ICLR 2025 Diffusion-aware Censored Gaussian Processes for Demand Modelling IJCAI 2025 Diffusion-based Decoupled Deterministic and Uncertain Framework for Probabilistic Multivariate Time Series Forecasting ICLR 2025 Diffusion-based Neural Network Weights Generation ICLR 2025 Diffusion Generative Modeling for Spatially Resolved Gene Expression Inference from Histology Images ICLR 2025 DiffusionIMU: Diffusion-Based Inertial Navigation with Iterative Motion Refinement IJCAI 2025 Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation WACV 2025 Diffusion Models are Evolutionary Algorithms ICLR 2025 Diffusion Models for Attribution AAAI 2025 Diffusion Models for Robotics AAAI 2025 Diffusion-NPO: Negative Preference Optimization for Better Preference Aligned Generation of Diffusion Models ICLR 2025 Diffusion Sampling Correction via Approximately 10 Parameters ICML 2025 Diffusion Transformer Captures Spatial-Temporal Dependencies: A Theory for Gaussian Process Data ICLR 2025 DiffZOO: A Purely Query-Based Black-Box Attack for Red-teaming Text-to-Image Generative Model via Zeroth Order Optimization NAACL 2025 DiLQR: Differentiable Iterative Linear Quadratic Regulator via Implicit Differentiation ICML 2025