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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)

FedSteer: Taming Extreme Gradient Staleness in Federated Learning with Corrective Projections and Caching UAI 2026 Feedback Alignment Meets Low-Rank Manifolds: A Structured Recipe for Local Learning WACV 2026 Few-for-Many Personalized Federated Learning CVPR 2026 Finding the Signal in the Spam: Jointly Learning Rewards and Worker Reliability from Pairwise Comparisons UAI 2026 Fine-grained Uncertainty Decomposition in Large Language Models: A Spectral Approach AAAI 2026 Fine-Tuned LLMs Know They Don’t Know: A Parameter-Efficient Approach to Recovering Honesty AAAI 2026 Fine-Tuning Sample Order Matters in Propositional Logical Question-Answering (Student Abstract) AAAI 2026 Finite Neural Networks as Mixtures of Gaussian Processes: From Provable Error Bounds to Prior Selection JMLR 2026 Finite Sample Bounds for Learning with Score Matching COLT 2026 Finite-Sample Regret Analysis of Nash Q-Learning with Random-Feature Approximation UAI 2026 Finite-Time Decoupled Convergence in Nonlinear Two-Time-Scale Stochastic Approximation JMLR 2026 FinMathBench: A Formula-Driven Benchmark for Evaluating LLMs’ Math Reasoning Capabilities in Finance AAAI 2026 Firing Bits Where It Matters: Spiking-Guided Just Recognizable Distortion Modeling for Machine-Centric Video Coding AAAI 2026 First-Order Error Matters: Accurate Compensation for Quantized Large Language Models AAAI 2026 Fixed-Confidence Best-Arm Identification for Causal Mediation Analysis UAI 2026 FlashKAT: Understanding and Addressing Performance Bottlenecks in the Kolmogorov-Arnold Transformer AAAI 2026 FlashVideo: Flowing Fidelity to Detail for Efficient High-Resolution Video Generation AAAI 2026 FLAT-LLM: Fine-grained Low-rank Activation Space Transformation for Large Language Model Compression EACL 2026 Flavors of Margin: Implicit Bias of Steepest Descent in Homogeneous Neural Networks JMLR 2026 FlorE: Integrating Full Lorentz Group and Directional Offsets for Effective Knowledge Graph Embedding AAAI 2026 Flow-Based Knowledge Transfer for Efficient Large Model Distillation AAAI 2026 Flow-Induced Diagonal Gaussian Processes AAAI 2026 FluidGaussian: Propagating Simulation-Based Uncertainty Toward Functionally-Intelligent 3D Reconstruction CVPR 2026 FLUKE: A Linguistically-Driven and Task-Agnostic Framework for Robustness Evaluation EACL 2026 Force-Aware 3D Contact Modeling for Stable Grasp Generation AAAI 2026