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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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2000
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Papers (including subtopics)

Adaptive Immune-based Sound-Shape Code Substitution for Adversarial Chinese Text Attacks EMNLP 2024 Adaptive importance sampling for heavy-tailed distributions via $α$-divergence minimization AISTATS 2024 Adaptive Labeling for Efficient Out-of-distribution Model Evaluation NeurIPS 2024 Adaptive Learning Rate for Follow-the-Regularized-Leader: Competitive Analysis and Best-of-Both-Worlds COLT 2024 Adaptive Multi-Modal Cross-Entropy Loss for Stereo Matching CVPR 2024 Adaptive Observation Cost Control for Variational Quantum Eigensolvers ICML 2024 Adaptive Preference Scaling for Reinforcement Learning with Human Feedback NeurIPS 2024 Adaptive Proximal Gradient Method for Convex Optimization NeurIPS 2024 Adaptive Proximal Gradient Methods Are Universal Without Approximation ICML 2024 Adaptive Quasi-Newton and Anderson Acceleration Framework with Explicit Global (Accelerated) Convergence Rates AISTATS 2024 Adaptive Randomized Smoothing: Certified Adversarial Robustness for Multi-Step Defences NeurIPS 2024 Adaptive Rank Selections for Low-Rank Approximation of Language Models NAACL 2024 Adaptive Regret for Bandits Made Possible: Two Queries Suffice ICLR 2024 Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation ICLR 2024 Adaptive Sampling for Efficient Softmax Approximation NeurIPS 2024 Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction ICML 2024 Adaptive Sharpness-Aware Pruning for Robust Sparse Networks ICLR 2024 Adaptive Stabilization Based on Machine Learning for Column Generation ICML 2024 Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning ICLR 2024 Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions NeurIPS 2024 Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization JMLR 2024 Adaptivity of Diffusion Models to Manifold Structures AISTATS 2024 AdaRevD: Adaptive Patch Exiting Reversible Decoder Pushes the Limit of Image Deblurring CVPR 2024 A Data-Adaptive RKHS Prior for Bayesian Learning of Kernels in Operators JMLR 2024 A Data-Driven Measure of Relative Uncertainty for Misclassification Detection ICLR 2024