Deep and Confident Prediction for Time Series at Uber
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- Type
- article
- Published
- 2017-09-06
- Cited by
- 374
- References
- 24
- Access
- Open access
- OpenAlex
- https://openalex.org/W2751802138
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:35416817
Keywords
Probabilistic logic, Series (stratigraphy), Computer science, Anomaly detection, Time series
References
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- Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks
- Auto-Encoding Variational Bayes
- Accounting for Mega-Events
- A new boosting algorithm for improved time-series forecasting with recurrent neural networks
- Long Short-Term Memory
- Automatic Time Series Forecasting: The forecast Package for R
- Variational Bayesian Inference with Stochastic Search
- Modeling the impact of run-time uncertainty on optimal computation scheduling using feedback
- Weight Uncertainty in Neural Network
- A Theoretically Grounded Application of Dropout in Recurrent Neural Networks
- Nonlinear Systems Identification Using Deep Dynamic Neural Networks
- Bayesian Recurrent Neural Networks
- Black-box α-divergence Minimization
- Concrete Dropout
- What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
- Weight Uncertainty in Neural Networks
- Unsupervised Learning of Video Representations using LSTMs
- Concrete Dropout
- Explaining and Harnessing Adversarial Examples
Cited by
- Deep density networks and uncertainty in recommender systems
- Causal Inference for Observational Time-Series with Encoder-Decoder Networks
- Learning temporal evolution of probability distribution with Recurrent Neural Network
- MOrdReD: Memory-based Ordinal Regression Deep Neural Networks for Time Series Forecasting
- RNN-based counterfactual time-series prediction
- Foundations of Sequence-to-Sequence Modeling for Time Series
- Time Series Models to Predict the Monthly and Annual Consumption of Natural Gas in Iran
- Applications of Deep Learning Neural Networks to Satellite Telemetry Monitoring
- Toy-IoT-Oriented data-driven CDN performance evaluation model with deep learning
- Short-Term Load Forecasting With Deep Residual Networks
- Bike flow prediction with multi-graph convolutional networks
- GRU-based Encoder-Decoder for Short-term CHP Heat Load Forecast
- Deep learning methods in transportation domain: a review
- Beyond Expectation: Deep Joint Mean and Quantile Regression for Spatiotemporal Problems
- Prediction interval methodology based on fuzzy numbers and its extension to fuzzy systems and neural networks
- Frequentist uncertainty estimates for deep learning
- Transient Simulation for High-Speed Channels with Recurrent Neural Network
- ADAPT-pricing: a dynamic and predictive technique for pricing to maximize revenue in ridesharing platforms
- Improving Model-Based Control and Active Exploration with Reconstruction Uncertainty Optimization
- DE-RNN: Forecasting the Probability Density Function of Nonlinear Time Series
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