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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)

Deep Graph Random Process for Relational-Thinking-Based Speech Recognition ICML 2020 Deep Hierarchical Classification for Category Prediction in E-commerce System ACL 2020 DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures ICLR 2020 Deep Latent Low-Rank Fusion Network for Progressive Subspace Discovery IJCAI 2020 Deep Learning for Abstract Argumentation Semantics IJCAI 2020 Deep Learning for Handling Kernel/model Uncertainty in Image Deconvolution CVPR 2020 Deep Learning of Determinantal Point Processes via Proper Spectral Sub-gradient ICLR 2020 Deep Learning on Small Datasets without Pre-Training using Cosine Loss WACV 2020 Deep Learning Tubes for Tube MPC RSS 2020 Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the Neural Tangent Kernel NeurIPS 2020 Deeply Learned Spectral Total Variation Decomposition NeurIPS 2020 DeepMPCVS: Deep Model Predictive Control for Visual Servoing CoRL 2020 Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning ACML 2020 Deep Network Classification by Scattering and Homotopy Dictionary Learning ICLR 2020 Deep Non-Line-of-Sight Reconstruction CVPR 2020 Deep Parametric Shape Predictions Using Distance Fields CVPR 2020 Deep Rao-Blackwellised Particle Filters for Time Series Forecasting NeurIPS 2020 Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous Control CoRL 2020 Deep Reinforcement Learning with Robust and Smooth Policy ICML 2020 Deep Relational Topic Modeling via Graph Poisson Gamma Belief Network NeurIPS 2020 Deep Reservoir Computing Meets 5G MIMO-OFDM Systems in Symbol Detection AAAI 2020 Deep Semi-Supervised Anomaly Detection ICLR 2020 Deep Sigma Point Processes UAI 2020 Deep Smoothing of the Implied Volatility Surface NeurIPS 2020 DeepSphere: a graph-based spherical CNN ICLR 2020