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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
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2000
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Papers (including subtopics)

Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient ICML 2021 Sparse Flows: Pruning Continuous-depth Models NeurIPS 2021 Sparse Gaussian Processes Revisited: Bayesian Approaches to Inducing-Variable Approximations AISTATS 2021 Sparse Multi-Path Corrections in Fringe Projection Profilometry CVPR 2021 Sparse Quadratic Optimisation over the Stiefel Manifold with Application to Permutation Synchronisation NeurIPS 2021 Sparse sketches with small inversion bias COLT 2021 Sparse Spiking Gradient Descent NeurIPS 2021 Sparse Tensor Additive Regression JMLR 2021 Sparse Uncertainty Representation in Deep Learning with Inducing Weights NeurIPS 2021 Sparse within Sparse Gaussian Processes using Neighbor Information ICML 2021 Sparsifying Networks via Subdifferential Inclusion ICML 2021 Spatial and Semantic Consistency Regularizations for Pedestrian Attribute Recognition ICCV 2021 Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning IJCAI 2021 Spatial Uncertainty-Aware Semi-Supervised Crowd Counting ICCV 2021 Spatio-Temporal Graph Scattering Transform ICLR 2021 Spatio-Temporal Variational Gaussian Processes NeurIPS 2021 Speaker-Conversation Factorial Designs for Diarization Error Analysis Interspeech 2021 Spectral Leakage and Rethinking the Kernel Size in CNNs ICCV 2021 Spectral Normalisation for Deep Reinforcement Learning: An Optimisation Perspective ICML 2021 Spectral Tensor Train Parameterization of Deep Learning Layers AISTATS 2021 Spectral vertex sparsifiers and pair-wise spanners over distributed graphs ICML 2021 SPECTRE: defending against backdoor attacks using robust statistics ICML 2021 Speech Decomposition Based on a Hybrid Speech Model and Optimal Segmentation Interspeech 2021 Speech Enhancement with Topology-Enhanced Generative Adversarial Networks (GANs) Interspeech 2021 Speeding Up Transformer Training By Using Dataset Subsampling - An Exploratory Analysis EMNLP 2021