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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)

Gated Temporal Fusion Transformers for Robust Multi-Object Tracking WACV 2026 GateRA: Token-aware Modulation for Parameter-Efficient Fine-tuning AAAI 2026 Gaussian Approximation and Multiplier Bootstrap for Federated Linear Stochastic Approximation UAI 2026 Gaussian Approximation for Two-Timescale Linear Stochastic Approximation AAAI 2026 Gaussian Uncertainty-Driven Multi-Model Fitting with Graph Neural Network AAAI 2026 GCA: Geometry-aware Conditional Alignment for Partial Domain Adaptation with Coding Rate Reduction AAAI 2026 GCImOpt: Learning efficient goal-conditioned policies by imitating optimal trajectories L4DC 2026 GDBA Revisited: Unleashing the Power of Guided Local Search for Distributed Constraint Optimization AAAI 2026 Geminet: Learning the Duality-based Topology-Agnostic Update Operator for Lightweight Traffic Engineering in Changing Topologies NSDI 2026 Generalized Distribution-Free Semi-Supervised Learning with Risk Rewrite UAI 2026 Generalized Resubstitution for Regression Error Estimation JMLR 2026 Generalized Threshold Optimization with Harmony Multi-Threshold Neurons for Accurate ANN-to-SNN Conversion AAAI 2026 Generalizing Analogical Inference from Boolean to Continuous Domains AAAI 2026 Generating Streamlining Constraints with Large Language Models (Abstract Reprint) AAAI 2026 Generative Branching for Mixed-Integer Linear Programming AAAI 2026 GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning AAAI 2026 Geometrically Inspired Kernel Machines for Collaborative Learning Beyond Gradient Descent (Abstract Reprint) AAAI 2026 GeoMoE: Divide-and-Conquer Motion Field Modeling with Mixture-of-Experts for Two-View Geometry AAAI 2026 GeoPTH: A Lightweight Approach to Category-Based Trajectory Retrieval via Geometric Prototype Trajectory Hashing AAAI 2026 GFT: Graph Feature Tuning for Efficient Point Cloud Analysis WACV 2026 GigaMoE: Sparsity-Guided Mixture of Experts for Efficient Gigapixel Object Detection AAAI 2026 GINO-Q: Learning an Asymptotically Optimal Index Policy for Restless Multi-armed Bandits AAAI 2026 G-IR: Geometric Image Representation for Learning AAAI 2026 GLANCE: Global Actions in a Nutshell for Counterfactual Explainability AAAI 2026 GlitchMiner: Mining Glitch Tokens in Large Language Models via Gradient-based Discrete Optimization AAAI 2026