Deep Factors for Forecasting

Deep Factors for Forecasting

28 May 2019

Danielle C. Maddix

Dean Phillips Foster

Tim Januschowski

Papers citing "Deep Factors for Forecasting"

18 / 18 papers shown

Title
Deep Factors with Gaussian Processes for Forecasting Danielle C. Maddix Bernie Wang Alex Smola BDL UQCV AI4TS 54 41 0 30 Nov 2018
ARMDN: Associative and Recurrent Mixture Density Networks for eRetail Demand Forecasting Srayanta Mukherjee Devashish Shankar Atin Ghosh Nilam Tathawadekar Pramod Kompalli Sunita Sarawagi K. Chaudhury BDL 38 30 0 10 Mar 2018
State Space LSTM Models with Particle MCMC Inference Xun Zheng Manzil Zaheer Amr Ahmed Yansen Wang Eric Xing Alex Smola BDL 66 46 0 30 Nov 2017
A Multi-Horizon Quantile Recurrent Forecaster Ruofeng Wen Kari Torkkola Balakrishnan Narayanaswamy Dhruv Madeka BDL AI4TS 59 429 0 29 Nov 2017
Auto-Differentiating Linear Algebra Matthias Seeger A. Hetzel Zhenwen Dai Eric Meissner Neil D. Lawrence 47 40 0 24 Oct 2017
A Unified Framework for Long Range and Cold Start Forecasting of Seasonal Profiles in Time Series Christopher Xie Alex Tank Alexander Greaves-Tunnell E. Fox AI4TS 25 7 0 23 Oct 2017
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning Marco Fraccaro Simon Kamronn Ulrich Paquet Ole Winther BDL 61 283 0 16 Oct 2017
Approximate Bayesian Inference in Linear State Space Models for Intermittent Demand Forecasting at Scale Matthias Seeger Syama Sundar Rangapuram Bernie Wang David Salinas Jan Gasthaus Tim Januschowski Valentin Flunkert BDL 52 18 0 22 Sep 2017
DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks David Salinas Valentin Flunkert Jan Gasthaus AI4TS UQCV BDL 81 2,101 0 13 Apr 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 715 5,798 0 05 Dec 2016
Structured Inference Networks for Nonlinear State Space Models Rahul G. Krishnan Uri Shalit David Sontag BDL 86 456 0 30 Sep 2016
Sequential Neural Models with Stochastic Layers Marco Fraccaro Søren Kaae Sønderby Ulrich Paquet Ole Winther BDL 109 397 0 24 May 2016
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems Tianqi Chen Mu Li Yutian Li Min Lin Naiyan Wang Minjie Wang Tianjun Xiao Bing Xu Chiyuan Zhang Zheng Zhang 184 2,244 0 03 Dec 2015
Deep Kalman Filters Rahul G. Krishnan Uri Shalit David Sontag BDL AI4TS 67 372 0 16 Nov 2015
A Recurrent Latent Variable Model for Sequential Data Junyoung Chung Kyle Kastner Laurent Dinh Kratarth Goel Aaron Courville Yoshua Bengio DRL BDL 82 1,256 0 07 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 705 9,290 0 06 Jun 2015
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 422 16,944 0 20 Dec 2013
Deep Gaussian Processes Andreas C. Damianou Neil D. Lawrence GP BDL 111 1,179 0 02 Nov 2012