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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)

Eliminating Exposure Bias and Metric Mismatch in Multiple Object Tracking CVPR 2019 Embarrassingly Parallel MCMC using Deep Invertible Transformations UAI 2019 Emotion Impacts Speech Recognition Performance NAACL 2019 Empirical Analysis of Beam Search Performance Degradation in Neural Sequence Models ICML 2019 Empirical Evaluation of Sequence-to-Sequence Models for Word Discovery in Low-Resource Settings Interspeech 2019 Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness NeurIPS 2019 Empirical Mechanism Design: Designing Mechanisms from Data UAI 2019 Empirical Risk Minimization and Stochastic Gradient Descent for Relational Data AISTATS 2019 EMPNet: Neural Localisation and Mapping Using Embedded Memory Points ICCV 2019 Enabling hyperparameter optimization in sequential autoencoders for spiking neural data NeurIPS 2019 End-to-End Adaptation with Backpropagation Through WFST for On-Device Speech Recognition System Interspeech 2019 End-to-End Learning for Graph Decomposition ICCV 2019 End-to-End Losses Based on Speaker Basis Vectors and All-Speaker Hard Negative Mining for Speaker Verification Interspeech 2019 End-to-End Monaural Speech Separation with Multi-Scale Dynamic Weighted Gated Dilated Convolutional Pyramid Network Interspeech 2019 End-to-End Neural Speaker Diarization with Permutation-Free Objectives Interspeech 2019 End-to-End Optimization of Source Models for Speech and Audio Coding Using a Machine Learning Framework Interspeech 2019 Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking ICLR 2019 Energy-efficient Path Planning for Ground Robots by and Combining Air and Ground Measurements CoRL 2019 Energy-Inspired Models: Learning with Sampler-Induced Distributions NeurIPS 2019 Enhanced Bayesian Compression via Deep Reinforcement Learning CVPR 2019 Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting NeurIPS 2019 Enhancing Variational Autoencoders with Mutual Information Neural Estimation for Text Generation EMNLP 2019 Ensemble-based Ultrahigh-dimensional Variable Screening IJCAI 2019 Ensemble Machine Learning for Estimating Fetal Weight at Varying Gestational Age AAAI 2019 Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs ICML 2019