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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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'25

Papers (including subtopics)

Global curvature for second-order optimization of neural networks ICML 2025 Global Ground Metric Learning with Applications to scRNA data AISTATS 2025 Global Identifiability of Overcomplete Dictionary Learning via L1 and Volume Minimization ICLR 2025 Global Optimization with a Power-Transformed Objective and Gaussian Smoothing ICML 2025 Global Well-posedness and Convergence Analysis of Score-based Generative Models via Sharp Lipschitz Estimates ICLR 2025 GLoRa: A Benchmark to Evaluate the Ability to Learn Long-Range Dependencies in Graphs ICLR 2025 Good, Cheap, and Fast: Overfitted Image Compression with Wasserstein Distortion CVPR 2025 Good regularity creates large learning rate implicit biases: edge of stability, balancing, and catapult JMLR 2025 GOttack: Universal Adversarial Attacks on Graph Neural Networks via Graph Orbits Learning ICLR 2025 GPS: A Probabilistic Distributional Similarity with Gumbel Priors for Set-to-Set Matching ICLR 2025 GPU-Accelerated Parallel Bilevel Optimization for Roubst 6G ISAC AAAI 2025 GQSA: Group Quantization and Sparsity for Accelerating Large Language Model Inference IJCNLP 2025 GRACE: A Granular Benchmark for Evaluating Model Calibration against Human Calibration ACL 2025 Gradient Alignment Improves Test-Time Adaptation for Medical Image Segmentation AAAI 2025 Gradient-Based Nonlinear Rehearsal Learning with Multivariate Alterations AAAI 2025 Gradient correlation is a key ingredient to accelerate SGD with momentum ICLR 2025 Gradient Descent Converges Arbitrarily Fast for Logistic Regression via Large and Adaptive Stepsizes ICML 2025 Gradient descent with generalized Newton’s method ICLR 2025 Gradient Extrapolation for Debiased Representation Learning ICCV 2025 Gradient Flow Provably Learns Robust Classifiers for Orthonormal GMMs ICML 2025 Gradient-Free Generation for Hard-Constrained Systems ICLR 2025 Gradient-Guided Annealing for Domain Generalization CVPR 2025 Gradient-guided Attention Map Editing: Towards Efficient Contextual Hallucination Mitigation NAACL 2025 Gradient-Guided Credit Assignment and Joint Optimization for Dependency-Aware Spatial Crowdsourcing AAAI 2025 Gradient Inversion Attack in Federated Learning: Exposing Text Data through Discrete Optimization COLING 2025