firstbacksecondback
9 Results
|
Workshop
|
Computation-Aware Robust Gaussian Processes Marshal Sinaga · Julien Martinelli · Samuel Kaski |
||
|
Poster
|
Thu 16:30 |
Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes Jihao Andreas Lin · Shreyas Padhy · Bruno Mlodozeniec · Javier Antorán · José Miguel Hernández-Lobato |
|
|
Poster
|
Wed 16:30 |
Probabilistic Decomposed Linear Dynamical Systems for Robust Discovery of Latent Neural Dynamics Yenho Chen · Noga Mudrik · Kyle A. Johnsen · Sankaraleengam Alagapan · Adam Charles · Christopher Rozell |
|
|
Poster
|
Wed 11:00 |
Linear Uncertainty Quantification of Graphical Model Inference Chenghua Guo · Han Yu · Jiaxin Liu · Chao Chen · Qi Li · Sihong Xie · Xi Zhang |
|
|
Poster
|
Wed 16:30 |
Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems Amber Hu · David Zoltowski · Aditya Nair · David Anderson · Lea Duncker · Scott Linderman |
|
|
Poster
|
Thu 11:00 |
Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference Jonathan Wenger · Kaiwen Wu · Philipp Hennig · Jacob Gardner · Geoff Pleiss · John Cunningham |
|
|
Poster
|
Wed 16:30 |
Small coresets via negative dependence: DPPs, linear statistics, and concentration Rémi Bardenet · Subhroshekhar Ghosh · Hugo Simon-Onfroy · Hoang Son Tran |
|
|
Poster
|
Thu 16:30 |
Gaussian Approximation and Multiplier Bootstrap for Polyak-Ruppert Averaged Linear Stochastic Approximation with Applications to TD Learning Sergey Samsonov · Eric Moulines · Qi-Man Shao · Zhuo-Song Zhang · Alexey Naumov |
|
|
Poster
|
Thu 11:00 |
Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models Jinlin Lai · Justin Domke · Daniel Sheldon |