Aliaksandr Hubin

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 14

Top Topics

Top Venues

Int. J. Approx. Reason.

J. Artif. Intell. Res.

Publications

Theodore Papamarkou, Maria Skoularidou, Konstantina Palla, Laurence Aitchison, Julyan Arbel, David B. Dunson, Maurizio Filippone, Vincent Fortuin, Philipp Hennig, José Miguel Hernández-Lobato, Aliaksandr Hubin, Alexander Immer, Theofanis Karaletsos, Mohammad Emtiyaz Khan, Agustinus Kristiadi, Yingzhen Li, Stephan Mandt, Christopher Nemeth, Michael A. Osborne, Tim G. J. Rudner, David Rügamer, Yee Whye Teh, Max Welling, Andrew Gordon Wilson, Ruqi Zhang
Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI. CoRR (2024)
Lars Skaaret-Lund, Geir Storvik, Aliaksandr Hubin
Sparsifying Bayesian neural networks with latent binary variables and normalizing flows. CoRR (2023)
Aliaksandr Hubin, Geir Storvik
Variational Inference for Bayesian Neural Networks under Model and Parameter Uncertainty. CoRR (2023)
Jon Lachmann, Geir Storvik, Florian Frommlet, Aliaksandr Hubin
A subsampling approach for Bayesian model selection. Int. J. Approx. Reason. 151 (2022)
Aliaksandr Hubin, Geir Storvik, Florian Frommlet
Flexible Bayesian Nonlinear Model Configuration. J. Artif. Intell. Res. 72 (2021)
Pierre Lison, Jeremy Barnes, Aliaksandr Hubin
skweak: Weak Supervision Made Easy for NLP. ACL (demo) (2021)
Pierre Lison, Jeremy Barnes, Aliaksandr Hubin
skweak: Weak Supervision Made Easy for NLP. CoRR (2021)
Pierre Lison, Aliaksandr Hubin, Jeremy Barnes, Samia Touileb
Named Entity Recognition without Labelled Data: A Weak Supervision Approach. CoRR (2020)
Pierre Lison, Jeremy Barnes, Aliaksandr Hubin, Samia Touileb
Named Entity Recognition without Labelled Data: A Weak Supervision Approach. ACL (2020)
Aliaksandr Hubin, Geir Storvik, Florian Frommlet
Flexible Bayesian Nonlinear Model Configuration. CoRR (2020)
Aliaksandr Hubin, Geir Storvik
Combining Model and Parameter Uncertainty in Bayesian Neural Networks. CoRR (2019)
Aliaksandr Hubin
An adaptive simulated annealing EM algorithm for inference on non-homogeneous hidden Markov models. CoRR (2019)
Aliaksandr Hubin
An adaptive simulated annealing EM algorithm for inference on non-homogeneous hidden Markov models. AIIPCC (2019)
Aliaksandr Hubin, Geir Storvik
Mode jumping MCMC for Bayesian variable selection in GLMM. Comput. Stat. Data Anal. 127 (2018)