firstbacksecondback
42 Results
|
Poster
|
Wed 14:00 |
Adversarially Robust Optimization with Gaussian Processes Ilija Bogunovic · Jonathan Scarlett · Stefanie Jegelka · Volkan Cevher |
|
|
Poster
|
Thu 14:00 |
Gaussian Process Conditional Density Estimation Vincent Dutordoir · Hugh Salimbeni · James Hensman · Marc Deisenroth |
|
|
Poster
|
Thu 7:45 |
Maximizing acquisition functions for Bayesian optimization James Wilson · Frank Hutter · Marc Deisenroth |
|
|
Poster
|
Wed 14:00 |
Temporal alignment and latent Gaussian process factor inference in population spike trains Lea Duncker · Maneesh Sahani |
|
|
Poster
|
Thu 7:45 |
Infinite-Horizon Gaussian Processes Arno Solin · James Hensman · Richard Turner |
|
|
Poster
|
Thu 14:00 |
Learning without the Phase: Regularized PhaseMax Achieves Optimal Sample Complexity Fariborz Salehi · Ehsan Abbasi · Babak Hassibi |
|
|
Poster
|
Wed 14:00 |
Probabilistic Matrix Factorization for Automated Machine Learning Nicolo Fusi · Rishit Sheth · Melih Elibol |
|
|
Poster
|
Wed 14:00 |
Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior Zi Wang · Beomjoon Kim · Leslie Kaelbling |
|
|
Spotlight
|
Wed 13:55 |
GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration Jacob Gardner · Geoff Pleiss · Kilian Weinberger · David Bindel · Andrew Wilson |
|
|
Poster
|
Wed 7:45 |
Orthogonally Decoupled Variational Gaussian Processes Hugh Salimbeni · Ching-An Cheng · Byron Boots · Marc Deisenroth |
|
|
Poster
|
Thu 7:45 |
Safe Active Learning for Time-Series Modeling with Gaussian Processes Christoph Zimmer · Mona Meister · Duy Nguyen-Tuong |
|
|
Poster
|
Wed 14:00 |
GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration Jacob Gardner · Geoff Pleiss · Kilian Weinberger · David Bindel · Andrew Wilson |