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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)

Neural Empirical Bayes JMLR 2019 Neural Finite-State Transducers: Beyond Rational Relations NAACL 2019 Neural Gaussian Copula for Variational Autoencoder EMNLP 2019 Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses ICCV 2019 Neural Inter-Frame Compression for Video Coding ICCV 2019 Neural Joint Source-Channel Coding ICML 2019 Neural Jump Stochastic Differential Equations NeurIPS 2019 Neural Logic Machines ICLR 2019 Neurally-Guided Structure Inference ICML 2019 Neural Models of the Psychosemantics of ‘Most’ NAACL 2019 Neural Networks with Cheap Differential Operators NeurIPS 2019 Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology ICLR 2019 Neural Processes Mixed-Effect Models for Deep Normative Modeling of Clinical Neuroimaging Data MIDL 2019 Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization CVPR 2019 Neural RGB(r)D Sensing: Depth and Uncertainty From a Video Camera CVPR 2019 Neural Temporal-Difference Learning Converges to Global Optima NeurIPS 2019 Neural Topic Model with Reinforcement Learning EMNLP 2019 Neural Trust Region/Proximal Policy Optimization Attains Globally Optimal Policy NeurIPS 2019 Neural Whispered Speech Detection with Imbalanced Learning Interspeech 2019 Neuron birth-death dynamics accelerates gradient descent and converges asymptotically ICML 2019 Neurons Merging Layer: Towards Progressive Redundancy Reduction for Deep Supervised Hashing IJCAI 2019 New Convergence Aspects of Stochastic Gradient Algorithms JMLR 2019 New Convex Relaxations for MRF Inference With Unknown Graphs ICCV 2019 New results on information theoretic clustering ICML 2019 NIT_Agartala_NLP_Team at SemEval-2019 Task 6: An Ensemble Approach to Identifying and Categorizing Offensive Language in Twitter Social Media Corpora SemEval 2019