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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)

GeoDEx: A Unified Geometric Framework for Tactile Dexterous and Extrinsic Manipulation under Force Uncertainty RSS 2025 GeoGuide: Geometric Guidance of Diffusion Models WACV 2025 GeoLoRA: Geometric integration for parameter efficient fine-tuning ICLR 2025 Geometric and Physical Constraints Synergistically Enhance Neural PDE Surrogates ICML 2025 Geometric Collaborative Filtering with Convergence AISTATS 2025 Geometric Median (GM) Matching for Robust k-Subset Selection from Noisy Data ICML 2025 Geometric Resampling in Nearly Linear Time for Follow-the-Perturbed-Leader with Best-of-Both-Worlds Guarantee in Bandit Problems ICML 2025 Geometry and Stability of Supervised Learning Problems JMLR 2025 Geometry-Aware Approaches for Balancing Performance and Theoretical Guarantees in Linear Bandits ICLR 2025 Geometry-Dependent Matching Pursuit: a Transition Phase for Convergence on Linear Regression and LASSO JMLR 2025 Geometry-Informed Neural Networks ICML 2025 Geometry of Lightning Self-Attention: Identifiability and Dimension ICLR 2025 Geometry of Neural Reinforcement Learning in Continuous State and Action Spaces ICLR 2025 Get rid of your constraints and reparametrize: A study in NNLS and implicit bias AISTATS 2025 GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks ICLR 2025 Ghidorah: Towards Robust Multi-Scale Information Diffusion Prediction via Test-Time Training AAAI 2025 GHOST: Gaussian Hypothesis Open-Set Technique AAAI 2025 GiFT: Gibbs Fine-Tuning for Code Generation ACL 2025 GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost ICLR 2025 GLAM: Global-Local Variation Awareness in Mamba-based World Model AAAI 2025 GLEN: Generalized Focal Loss Ensemble of Low-Rank Networks for Calibrated Visual Question Answering AAAI 2025 GliaNet: Adaptive Neural Network Structure Learning with Glia-Driven CVPR 2025 Global Convergence and Rich Feature Learning in L-Layer Infinite-Width Neural Networks under μ Parametrization ICML 2025 Global Convergence of Adjoint-Optimized Neural PDEs JMLR 2025 Global Convergence of Policy Gradient in Average Reward MDPs ICLR 2025