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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)

Semiparametrically Efficient Off-Policy Evaluation in Linear Markov Decision Processes ICML 2023 Semiparametric Inference Using Fractional Posteriors JMLR 2023 Semi-Random Sparse Recovery in Nearly-Linear Time COLT 2023 Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks AAAI 2023 Semi-supervised learning with a principled likelihood from a generative model of data curation ICLR 2023 Semi-supervised Learning with Support Isolation by Small-Paced Self-Training AAAI 2023 Semi-Verified PAC Learning from the Crowd AISTATS 2023 Sensing Theorems for Unsupervised Learning in Linear Inverse Problems JMLR 2023 Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning ICCV 2023 Sensitivity-Free Gradient Descent Algorithms JMLR 2023 Sentiment as an Ordinal Latent Variable EACL 2023 Separable Physics-Informed Neural Networks NeurIPS 2023 SEPH: Scalable, Efficient, and Predictable Hashing on Persistent Memory OSDI 2023 Seq2Seq Surrogates of Epidemic Models to Facilitate Bayesian Inference AAAI 2023 Sequence-Based Plan Feasibility Prediction for Efficient Task and Motion Planning RSS 2023 Sequence Learning Using Equilibrium Propagation IJCAI 2023 Sequence Modeling with Multiresolution Convolutional Memory ICML 2023 Sequential Changepoint Detection via Backward Confidence Sequences ICML 2023 Sequential Counterfactual Risk Minimization ICML 2023 Sequential Gradient Coding For Straggler Mitigation ICLR 2023 Sequential Gradient Descent and Quasi-Newton’s Method for Change-Point Analysis AISTATS 2023 Sequential Kernelized Independence Testing ICML 2023 Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting ICLR 2023 Sequential Learning of Neural Networks for Prequential MDL ICLR 2023 Sequential Monte Carlo Learning for Time Series Structure Discovery ICML 2023