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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
5,854
2000
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Papers (including subtopics)

Using Shifted Real Spectrum Mask as Training Target for Supervised Speech Separation Interspeech 2018 UTFPR at WMT 2018: Minimalistic Supervised Corpora Filtering for Machine Translation EMNLP 2018 Variance-Aware Regret Bounds for Undiscounted Reinforcement Learning in MDPs ALT 2018 Variance-Reduced Stochastic Gradient Descent on Streaming Data NeurIPS 2018 Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines ICLR 2018 Variance Reduction in Black-box Variational Inference by Adaptive Importance Sampling IJCAI 2018 Variance Regularized Counterfactual Risk Minimization via Variational Divergence Minimization ICML 2018 Variational Bayesian dropout: pitfalls and fixes ICML 2018 Variational Bayesian Monte Carlo NeurIPS 2018 Variational Continual Learning ICLR 2018 Variational Fourier Features for Gaussian Processes JMLR 2018 Variational Inference and Model Selection with Generalized Evidence Bounds ICML 2018 Variational Inference based on Robust Divergences AISTATS 2018 Variational inference for the multi-armed contextual bandit AISTATS 2018 Variational Inference with Tail-adaptive f-Divergence NeurIPS 2018 Variational Learning on Aggregate Outputs with Gaussian Processes NeurIPS 2018 Variational Network Inference: Strong and Stable with Concrete Support ICML 2018 Variational Network Quantization ICLR 2018 Variational PDEs for Acceleration on Manifolds and Application to Diffeomorphisms NeurIPS 2018 Variational Rejection Sampling AISTATS 2018 Variational Sequential Labelers for Semi-Supervised Learning EMNLP 2018 Variational Sequential Monte Carlo AISTATS 2018 Video Prediction via Selective Sampling NeurIPS 2018 Visualizing the Loss Landscape of Neural Nets NeurIPS 2018 Viterbi-based Pruning for Sparse Matrix with Fixed and High Index Compression Ratio ICLR 2018