Identifiability in inverse reinforcement learning
Cao, H
Cohen, S
Szpruch, Ł
Advances in Neural Information Processing Systems
volume 15
12362-12373
(01 Jan 2021)
A mechanistic model explains oscillatory slowing and neuronal hyperactivity in Alzheimer’s disease
Alexandersen, C
de Haan, W
Bick, C
Goriely, A
Structural features of microvascular networks trigger blood-flow oscillations
Ben-Ami, Y
Atkinson, G
Pitt-Francis, J
Byrne, H
Maini, P
Bulletin of Mathematical Biology
Higher order kernel mean embeddings to capture filtrations of stochastic processes
Salvi, C
Lemercier, M
Liu, C
Horvath, B
Damoulas, T
Lyons, T
Advances in Neural Information Processing Systems 34 (NeurIPS 2021)
volume 20
16635-16647
(01 May 2022)
On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations
Rudner, T
Lu, C
Osborne, M
Gal, Y
Teh, Y
Advances in Neural Information Processing Systems
volume 34
28376-28389
(01 Jan 2021)
Powerpropagation: A sparsity inducing weight reparameterisation
Schwarz, J
Jayakumar, S
Pascanu, R
Latham, P
Teh, Y
Advances in Neural Information Processing Systems
volume 34
28889-28903
(01 Jan 2021)
Neural Ensemble Search for Uncertainty Estimation and Dataset Shift
Zaidi, S
Zela, A
Elsken, T
Holmes, C
Hutter, F
Teh, Y
Advances in Neural Information Processing Systems
volume 10
7898-7911
(01 Jan 2021)
On Contrastive Representations of Stochastic Processes
Mathieu, E
Foster, A
Teh, Y
Advances in Neural Information Processing Systems
volume 34
28823-28835
(01 Jan 2021)
BAYESIMP: Uncertainty Quantification for Causal Data Fusion
Chau, S
Ton, J
González, J
Teh, Y
Sejdinovic, D
Advances in Neural Information Processing Systems
volume 5
3466-3477
(01 Jan 2021)
Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independant Projected Kernels
Hutchinson, M
Terenin, A
Borovitskiy, V
Takao, S
Teh, Y
Deisenroth, M
Advances in Neural Information Processing Systems
volume 21
17160-17169
(01 Jan 2021)