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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)

Contextual Bandits with Cross-Learning NeurIPS 2019 Contextual Multi-armed Bandit Algorithm for Semiparametric Reward Model ICML 2019 Continual and Multi-Task Architecture Search ACL 2019 Continual Learning by Asymmetric Loss Approximation With Single-Side Overestimation ICCV 2019 Continuous-time Models for Stochastic Optimization Algorithms NeurIPS 2019 Contrasting Exploration in Parameter and Action Space: A Zeroth-Order Optimization Perspective AISTATS 2019 Control Batch Size and Learning Rate to Generalize Well: Theoretical and Empirical Evidence NeurIPS 2019 Controlling Neural Level Sets NeurIPS 2019 Controlling Neural Networks via Energy Dissipation ICCV 2019 Control Regularization for Reduced Variance Reinforcement Learning ICML 2019 Convergence Analysis of Gradient-Based Learning in Continuous Games UAI 2019 Convergence Guarantees for a Class of Non-convex and Non-smooth Optimization Problems JMLR 2019 Convergence Guarantees for Adaptive Bayesian Quadrature Methods NeurIPS 2019 Convergence of Adversarial Training in Overparametrized Neural Networks NeurIPS 2019 Convergence of Gaussian Belief Propagation Under General Pairwise Factorization: Connecting Gaussian MRF with Pairwise Linear Gaussian Model JMLR 2019 Convergence of Gradient Descent on Separable Data AISTATS 2019 Convergence-Rate-Matching Discretization of Accelerated Optimization Flows Through Opportunistic State-Triggered Control NeurIPS 2019 Convergence Rate of a Simulated Annealing Algorithm with Noisy Observations JMLR 2019 Convergent Policy Optimization for Safe Reinforcement Learning NeurIPS 2019 Convex Formulations for Fair Principal Component Analysis AAAI 2019 Convex Relaxations for Consensus and Non-Minimal Problems in 3D Vision ICCV 2019 Convolutional Approximations to the General Non-Line-of-Sight Imaging Operator ICCV 2019 Convolutional Neural Networks Can Be Deceived by Visual Illusions CVPR 2019 Coordinated hippocampal-entorhinal replay as structural inference NeurIPS 2019 COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning IJCAI 2019