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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)

Describe Anything Anywhere At Any Moment CVPR 2026 Description Logics with Two Types of Definite Descriptions: Complexity, Expressiveness, and Automated Deduction AAAI 2026 Designed to Spread: A Generative Approach to Enhance Information Diffusion AAAI 2026 Designing Optimal Mechanisms to Locate Facilities with Insufficient Capacity for Bayesian Agents AAAI 2026 Detecting Non-Membership in LLM Training Data via Rank Correlations EACL 2026 Detecting Overflow in Compressed Token Representations for Retrieval-Augmented Generation EACL 2026 Detecting the Future: All-at-Once Event Sequence Forecasting with Horizon Matching AAAI 2026 Detecting Training Data of Large Language Models via Expectation Maximization EACL 2026 Detection-Driven Object Count Optimization for Text-to-Image Diffusion Models WACV 2026 Detection of Adversarial Prompts with Model Predictive Entropy EACL 2026 Deterministic Hyperdimensional Learning with Rank Refinement (Student Abstract) AAAI 2026 DETONATE – A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization AAAI 2026 DeToNATION: Decoupled Torch Network-Aware Training on Interlinked Online Nodes AAAI 2026 DevLake at LoResMT 2026: The Impact of Pre-training and Model Scale on Russian-Bashkir Low-Resource Translation EACL 2026 DFDT: Dynamic Fast Decision Tree for IoT Data Stream Mining on Edge Devices AAAI 2026 DF-Mamba: Deformable State Space Modeling for 3D Hand Pose Estimation in Interactions WACV 2026 Diagnostic-Guided Dynamic Profile Optimization for LLM-based User Simulators in Sequential Recommendation AAAI 2026 Differentiable Causal Search CLeaR 2026 Differentially Private Estimation and Inference in High-Dimensional Regression with FDR Control JMLR 2026 Differentially Private Subspace Fine-Tuning for Large Language Models AAAI 2026 Diffusion Language Model Inference with Monte Carlo Tree Search EACL 2026 DIFT: Protecting Contrastive Learning Against Data Poisoning Backdoor Attacks AAAI 2026 Dimension Reduction via Sum-of-Squares and Improved Clustering Algorithms for Non-Spherical Mixtures COLT 2026 Direction Sensitivity–Based Knowledge Distillation: Optimization-Aware Low-Rank Knowledge Transfer AAAI 2026 DiRe: Diversity-promoting Regularization for Dataset Condensation WACV 2026