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Benjamin Bloem-Reddy
Benjamin Bloem-Reddy
University of British Columbia
Bestätigte E-Mail-Adresse bei stat.ubc.ca - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Probabilistic symmetries and invariant neural networks
B Bloem-Reddy, YW Teh
Journal of Machine Learning Research 21 (90), 1-61, 2020
1802020
On the Benefits of Invariance in Neural Networks
C Lyle, M van der Wilk, M Kwiatkowska, Y Gal, B Bloem-Reddy
arXiv preprint arXiv:2005.00178, 2020
892020
Lossy compression for lossless prediction
Y Dubois, B Bloem-Reddy, K Ullrich, CJ Maddison
Advances in Neural Information Processing Systems 34, 14014-14028, 2021
842021
Random Walk Models of Network Formation and Sequential Monte Carlo Methods for Graphs
B Bloem-Reddy, P Orbanz
Journal of the Royal Statistical Society, Series B: Statistical Methodology, 2018
442018
Indeterminacy in Generative Models: Characterization and Strong Identifiability
Q Xi, B Bloem-Reddy
International Conference on Artificial Intelligence and Statistics, 6912-6939, 2023
25*2023
Preferential Attachment and Vertex Arrival Times
B Bloem-Reddy, P Orbanz
arXiv preprint arXiv:1710.02159, 2017
162017
Sampling and Inference for Beta Neutral-to-the-Left Models of Sparse Networks
B Bloem-Reddy, A Foster, E Mathieu, YW Teh
Proceedings of the 34th Conference on Uncertainty in Artificial Intelligence, 2018
112018
Stability of the axial phase of superfluid in aerogel with globally anisotropic scattering
JP Davis, J Pollanen, B Reddy, KR Shirer, H Choi, WP Halperin
Physical Review B—Condensed Matter and Materials Physics 77 (14), 140502, 2008
92008
Non-parametric Hypothesis Tests for Distributional Group Symmetry
K Chiu, B Bloem-Reddy
arXiv preprint arXiv:2307.15834, 2023
52023
Uncertainty in Neural Processes
S Naderiparizi, K Chiu, B Bloem-Reddy, F Wood
arXiv preprint arXiv:2010.03753, 2020
42020
Sequential sampling of Gaussian process latent variable models
M Tegnér, B Bloem-Reddy, S Roberts
arXiv preprint arXiv:1807.04932, 2018
42018
Sampling and inference for discrete random probability measures in probabilistic programs
B Bloem-Reddy, E Mathieu, A Foster, T Rainforth, YW Teh, H Ge, ...
NIPS 2017 Workshop on Advances in Approximate Bayesian Inference, 2017
42017
Random Walk Models, Preferential Attachment, and Sequential Monte Carlo Methods for Analysis of Network Data
B Bloem-Reddy
Columbia University, 2017
32017
Slice Sampling on Hamiltonian Trajectories
B Bloem-Reddy, J Cunningham
Proceedings of The 33rd International Conference on Machine Learning, 3050-3058, 2016
32016
Hypothesis Tests for Distributional Group Symmetry with Applications to Particle Physics
K Chiu, B Bloem-Reddy
NeurIPS 2023 AI for Science Workshop, 2023
22023
Triangular Monotonic Generative Models Can Perform Causal Discovery
Q Xi, S Gonzalez, B Bloem-Reddy
Causal Representation Learning Workshop at NeurIPS 2023, 2023
22023
Neural network models of exchangeable sequences
B Bloem-Reddy, YW Teh
Third NeurIPS Workshop on Bayesian Deep Learning, 2018
22018
Superfluid phase stability of 3He in axially anisotropic aerogel
J Pollanen, JP Davis, B Reddy, KR Shirer, H Choi, WP Halperin
Journal of Physics: Conference Series 150 (3), 032084, 2009
22009
Causal Inference with Cocycles
H Dance, B Bloem-Reddy
arXiv preprint arXiv:2405.13844, 2024
12024
Randomization Tests for Conditional Group Symmetry
K Chiu, A Sharp, B Bloem-Reddy
arXiv preprint arXiv:2412.14391, 2024
2024
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