firstbacksecondback
90 Results
|
Poster
|
Wed 9:00 |
Globally Gated Deep Linear Networks Qianyi Li · Haim Sompolinsky |
|
|
Poster
|
Thu 9:00 |
Learning Fractional White Noises in Neural Stochastic Differential Equations Anh Tong · Thanh Nguyen-Tang · Toan Tran · Jaesik Choi |
|
|
Workshop
|
Gaussian Process Thompson sampling for Bayesian optimization of dynamic masking-based language model pre-training Iñigo Urteaga · Moulay Zaidane Draidia · Tomer Lancewicki · Shahram Khadivi |
||
|
Poster
|
Wed 14:00 |
Posterior and Computational Uncertainty in Gaussian Processes Jonathan Wenger · Geoff Pleiss · Marvin Pförtner · Philipp Hennig · John Cunningham |
|
|
Poster
|
Wed 14:00 |
Log-Linear-Time Gaussian Processes Using Binary Tree Kernels Michael K. Cohen · Samuel Daulton · Michael A Osborne |
|
|
Workshop
|
Active Learning with Convolutional Gaussian Neural Processes for Environmental Sensor Placement Tom Andersson · Wessel Bruinsma · Efstratios Markou · Daniel C. Jones · Scott Hosking · James Requeima · Anna Vaughan · Anna-Louise Ellis · Matthew Lazzara · Richard Turner |
||
|
Poster
|
Tue 14:00 |
Fast Bayesian Estimation of Point Process Intensity as Function of Covariates Hideaki Kim · Taichi Asami · Hiroyuki Toda |
|
|
Poster
|
Tue 14:00 |
Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination Masaki Adachi · Satoshi Hayakawa · Martin Jørgensen · Harald Oberhauser · Michael A Osborne |
|
|
Workshop
|
GAUCHE: A Library for Gaussian Processes in Chemistry Ryan-Rhys Griffiths · Leo Klarner · Henry Moss · Aditya Ravuri · Sang Truong · Bojana Rankovic · Yuanqi Du · Arian Jamasb · Julius Schwartz · Austin Tripp · Gregory Kell · Anthony Bourached · Alex Chan · Jacob Moss · Chengzhi Guo · Alpha Lee · Philippe Schwaller · Jian Tang |
||
|
Poster
|
Thu 14:00 |
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces Leonard Papenmeier · Luigi Nardi · Matthias Poloczek |
|
|
Poster
|
Wed 14:00 |
High-dimensional Additive Gaussian Processes under Monotonicity Constraints Andrés López-Lopera · Francois Bachoc · Olivier Roustant |
|
|
Workshop
|
Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction Wenlin Chen · Austin Tripp · José Miguel Hernández-Lobato |