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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)

DPBridge: Latent Diffusion Bridge for Dense Prediction WACV 2026 DP-FedAdamW: An Efficient Optimizer for Differentially Private Federated Large Models CVPR 2026 DRAFT-RL: Multi-Agent Chain-of-Draft Reasoning for Reinforcement Learning-Enhanced LLMs AAAI 2026 DRAGOn: Designing RAG On Periodically Updated Corpus EACL 2026 Drift Estimation for Diffusion Processes Using Neural Networks Based on Discretely Observed Independent Paths AAAI 2026 DS-ATGO: Dual-Stage Synergistic Learning via Forward Adaptive Threshold and Backward Gradient Optimization for Spiking Neural Networks AAAI 2026 DSCF: Dual-Source Counterfactual Fusion for High-Dimensional Combinatorial Interventions AAAI 2026 DS-Compatible Log-Linear Reliability with KL-Prox EM: Monotone Ascent, Identifiability, and Generalization ALT 2026 DSFedMed: Dual-Scale Federated Medical Image Segmentation via Mutual Distillation Between Foundation and Lightweight Models AAAI 2026 Dual-Seed Evolutionary Algorithm for Noise Optimization in Diffusion Models AAAI 2026 Duplex Rewards Optimization for Test-Time Composed Image Retrieval AAAI 2026 DynaGSLAM: Real-Time Gaussian-Splatting SLAM for Online Rendering, Tracking, Motion Predictions of Moving Objects in Dynamic Scenes WACV 2026 Dynamic Deep Prompt Optimization for Defending Against Jailbreak Attacks on LLMs AAAI 2026 Dynamic Regret in Outlier-Oblivious Online Optimization using Nonconvex Robust Losses UAI 2026 Dynamic Weight Adaptation in Spiking Neural Networks Inspired by Biological Homeostasis AAAI 2026 EA: Managing Green Data Centers Using Deep Reinforcement Learning Without Discounting AAAI 2026 Early-Exit and Instant Confidence Translation Quality Estimation EACL 2026 ECD: Evidence-guided Contrastive Decoding in Retrieval-Augmented Generation with Accurate Knowledge Reference Adjustment AAAI 2026 Echoes Over Time: Unlocking Length Generalization in Video-to-Audio Generation Models CVPR 2026 EcoDiffusion: Uncertainty-Aware Emulation of Ecosystem Processes with Conditional Diffusion for Long Sequences with Single-Step Initialization AAAI 2026 Efficient and Effective In-context Demonstration Selection with Coreset AAAI 2026 Efficient and Provable Algorithms for Covariate Shift ALT 2026 Efficient and Reliable Hitting-Set Computations for the Implicit Hitting Set Approach AAAI 2026 Efficient Decentralized Learning of Generalized Quantal Response Equilibrium UAI 2026 Efficient Forecasting of Geostationary Infrared Brightness Temperature Sequences: A Benchmark and a Lightweight Model AAAI 2026