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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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Papers (including subtopics)

Statistical Learning Theory for Distributional Classification AAAI 2026 Statistical Learning Theory for Neural Operators JMLR 2026 Statistically Robust Sparse High-order Interaction Model AAAI 2026 Statistical Test for Attention in Transformers for Images and Time Series JMLR 2026 Steering diffusion models with quadratic rewards: a fine-grained analysis COLT 2026 Steering Pretrained Drafters During Speculative Decoding AAAI 2026 STEG-AIW: Spatio-Temporal Gating and Adaptive-Timestep Inference for Efficient Spiking Neural Networks WACV 2026 Step Back to Leap Forward: Self-Backtracking for Symbolic Reasoning and Planning in Language Models AAAI 2026 Step-GRPO: Enhancing Reasoning Quality and Efficiency via Structured PRM-Based Reinforcement Learning AAAI 2026 Stochastic Decentralized Optimization of Non-Smooth Convex and Convex-Concave Problems over Time-Varying Networks AAAI 2026 Stochastic Differential Equations models for Least-Squares Stochastic Gradient Descent JMLR 2026 Stochastic Gradient Methods: Bias, Stability and Generalization JMLR 2026 Stochastic Universal Adversarial Perturbations with Fixed Optimization Constraint and Ensured High-probability Transferability AAAI 2026 STrans: Spontaneous Architecture Evolution for Adaptive Time Series Forecasting AAAI 2026 Streaming Generated Gaussian Process Experts for Online Learning and Control AAAI 2026 Structural Approach to Guiding a Present-Biased Agent AAAI 2026 Structure-based RNA Design by Step-wise Optimization of Latent Diffusion Model AAAI 2026 Structured Credal Learning UAI 2026 Studying Classifier(-Free) Guidance from a Classifier-Centric Perspective AAAI 2026 Subgradient Method for System Identification with Non-Smooth Objectives L4DC 2026 Sub-MoE: Efficient Mixture-of-Expert LLMs Compression via Subspace Expert Merging AAAI 2026 Superior Runtime Guarantees for the MOEA/D Multi-Objective Optimizer via Weighted-Sum Decomposition AAAI 2026 Super Level Sets and Exponential Decay: A Synergistic Approach to Stable Neural Network Training (Abstract Reprint) AAAI 2026 Suppressing Final Layer Hidden State Jumps in Transformer Pretraining EACL 2026 Surgical AI Copilot: Energy-Based Fourier Gradient Low-Rank Adaptation for Surgical LLM Agent Reasoning and Planning AAAI 2026