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Poster
Wed 2:30 Robust and Conjugate Gaussian Process Regression
Matias Altamirano · Francois-Xavier Briol · Jeremias Knoblauch
Poster
Wed 2:30 Enhancing Sufficient Dimension Reduction via Hellinger Correlation
Seungbeom Hong · Ilmun Kim · Jun Song
Poster
Wed 2:30 Probabilistic Generating Circuits - Demystified
Sanyam Agarwal · Markus Bläser
Poster
Tue 4:30 Accelerating Convergence in Bayesian Few-Shot Classification
Tianjun Ke · Haoqun Cao · Feng Zhou
Poster
Tue 4:30 Gaussian Processes on Cellular Complexes
Mathieu Alain · So Takao · Brooks Paige · Marc Deisenroth
Poster
Wed 2:30 Stable Differentiable Causal Discovery
Achille Nazaret · Justin Hong · Elham Azizi · David Blei
Poster
Tue 4:30 Conformal Predictions under Markovian Data
Frédéric Zheng · Alexandre Proutiere
Poster
Tue 2:30 Translation Equivariant Transformer Neural Processes
Matthew Ashman · Cristiana Diaconu · Junhyuck Kim · Lakee Sivaraya · Stratis Markou · James Requeima · Wessel Bruinsma · Richard E Turner
Poster
Thu 4:30 Conformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them)
Drew Prinster · Samuel Stanton · Anqi Liu · Suchi Saria
Poster
Thu 2:30 Differentiable Annealed Importance Sampling Minimizes The Jensen-Shannon Divergence Between Initial and Target Distribution
Johannes Zenn · Robert Bamler
Poster
Tue 2:30 Logistic Variational Bayes Revisited
Michael Komodromos · Marina Evangelou · Sarah Filippi
Poster
Wed 2:30 Hierarchical Integral Probability Metrics: A distance on random probability measures with low sample complexity
Marta Catalano · Hugo Lavenant