NIPS -> NeurIPS
@@ -71,9 +71,9 @@ Indices and tables
Research references
======================
-* Gardner, Jacob R., Geoff Pleiss, David Bindel, Kilian Q. Weinberger, and Andrew Gordon Wilson. " GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration." In NIPS (2018).
+* Gardner, Jacob R., Geoff Pleiss, David Bindel, Kilian Q. Weinberger, and Andrew Gordon Wilson. " GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration." In NeurIPS (2018).
* Pleiss, Geoff, Jacob R. Gardner, Kilian Q. Weinberger, and Andrew Gordon Wilson. "Constant-Time Predictive Distributions for Gaussian Processes." In ICML (2018).
* Gardner, Jacob R., Geoff Pleiss, Ruihan Wu, Kilian Q. Weinberger, and Andrew Gordon Wilson. "Product Kernel Interpolation for Scalable Gaussian Processes." In AISTATS (2018).
-* Wilson, Andrew G., Zhiting Hu, Ruslan R. Salakhutdinov, and Eric P. Xing. "Stochastic variational deep kernel learning." In NIPS (2016).
+* Wilson, Andrew G., Zhiting Hu, Ruslan R. Salakhutdinov, and Eric P. Xing. "Stochastic variational deep kernel learning." In NeurIPS (2016).
* Wilson, Andrew, and Hannes Nickisch. "Kernel interpolation for scalable structured Gaussian processes (KISS-GP)." In ICML (2015).
* Hensman, James, Alexander G. de G. Matthews, and Zoubin Ghahramani. "Scalable variational Gaussian process classification." In AISTATS (2015).
