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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)

Sparse Poisson Gamma Belief Networks for High-Dimensional Sparse Count Data AAAI 2026 Sparse recovery of Diffusion Dynamics: Handling High-Dimensionality in Repeated Short Trajectories UAI 2026 SparseRM: A Lightweight Preference Modeling with Sparse Autoencoder AAAI 2026 Sparse Topic Modeling via Spectral Decomposition and Thresholding JMLR 2026 Spatial-Temporal Feedback Diffusion Guidance for Controlled Traffic Imputation AAAI 2026 Spatio-Temporal Context Learning with Temporal Difference Convolution for Moving Infrared Small Target Detection AAAI 2026 Spatio-Temporal Hierarchical Causal Models AAAI 2026 Specification-Guided Reinforcement Learning AAAI 2026 Spectral Basis Learning for Expressive Graph Neural Networks in Link Prediction AAAI 2026 Spectrally Adaptive Channel-aware Unrolling Network for Compressed Sensing AAAI 2026 Speculative Decoding Speed-of-Light: Optimal Lower Bounds via Branching Random Walks EACL 2026 SpikCommander: A High-performance Spiking Transformer with Multi-view Learning for Efficient Speech Command Recognition AAAI 2026 Split-Layer: Enhancing Implicit Neural Representation by Maximizing the Dimensionality of Feature Space AAAI 2026 SSplain: Sparse and Smooth Explainer for Retinopathy of Prematurity Classification WACV 2026 SSTODE: Ocean-Atmosphere Physics-Informed Neural ODEs for Sea Surface Temperature Prediction AAAI 2026 Stabilizing Direct Training of Spiking Neural Networks: Membrane Potential Initialization and Threshold-robust Surrogate Gradient WACV 2026 Stabilizing Policy Gradient Methods via Reward Profiling AAAI 2026 Stabilizing Spiking Neurons Through Biologically Inspired Polarization AAAI 2026 Stable algorithms Lower Bounds for Estimation from MMSE Discontinuities: Extended Abstract COLT 2026 Stable and Adaptive Fusion for Multi-domain Multi-task Recommendation AAAI 2026 Stable Mean Flow: Lyapunov-Inspired One-Step Flow Matching CVPR 2026 Start Small, Think Big: Curriculum-based Relative Policy Optimization for Visual Grounding AAAI 2026 Statistical Foundations of DIME: Risk Estimation for Practical Index Selection EACL 2026 Statistical guarantees for denoising reflected diffusion models JMLR 2026 Statistical Learning from Attribution Sets COLT 2026