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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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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Approximation and Learning with Deep Convolutional Models: a Kernel Perspective ICLR 2022 Approximation and Optimization Theory for Linear Continuous-Time Recurrent Neural Networks JMLR 2022 Approximation with CNNs in Sobolev Space: with Applications to Classification NeurIPS 2022 A Practical, Progressively-Expressive GNN NeurIPS 2022 A Predictive Approach to Bayesian Nonparametric Survival Analysis AISTATS 2022 A prior-based approximate latent Riemannian metric AISTATS 2022 A Private and Computationally-Efficient Estimator for Unbounded Gaussians COLT 2022 A Probabilistic Graph Coupling View of Dimension Reduction NeurIPS 2022 A Projection-free Algorithm for Constrained Stochastic Multi-level Composition Optimization NeurIPS 2022 A proof of convergence for the gradient descent optimization method with random initializations in the training of neural networks with ReLU activation for piecewise linear target functions JMLR 2022 A Provably-Efficient Model-Free Algorithm for Infinite-Horizon Average-Reward Constrained Markov Decision Processes AAAI 2022 A Quadrature Rule combining Control Variates and Adaptive Importance Sampling NeurIPS 2022 A Quantitative Geometric Approach to Neural-Network Smoothness NeurIPS 2022 A Random Matrix Analysis of Data Stream Clustering: Coping With Limited Memory Resources ICML 2022 A Random Matrix Perspective on Mixtures of Nonlinearities in High Dimensions AISTATS 2022 A Random Matrix Perspective on Random Tensors JMLR 2022 Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search CVPR 2022 ARCS: Accurate Rotation and Correspondence Search CVPR 2022 Are All Layers Created Equal? JMLR 2022 Are All Linear Regions Created Equal? AISTATS 2022 Are All Losses Created Equal: A Neural Collapse Perspective NeurIPS 2022 Are All the Datasets in Benchmark Necessary? A Pilot Study of Dataset Evaluation for Text Classification NAACL 2022 A Reduction-Based Framework for Conservative Bandits and Reinforcement Learning ICLR 2022 A Reduction from Linear Contextual Bandits Lower Bounds to Estimations Lower Bounds ICML 2022 A Regret-Variance Trade-Off in Online Learning NeurIPS 2022