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Workshop
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Scalable Permutation Invariant Multi-Output Gaussian Processes for Cancer Drug Response
Leiv Rønneberg · Vidhi Lalchand
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Workshop
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MHP-DDP: Multivariate Hawkes Process with Dependent Dirichlet Process
Alex Jiang · Abel Rodriguez
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Workshop
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Stochastic Quasi-Variational Inequalities: Convergence Analysis Beyond Strong Monotonicity
zeinab alizadeh · Afrooz Jalilzadeh
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Poster
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Wed 11:00
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Private Algorithms for Stochastic Saddle Points and Variational Inequalities: Beyond Euclidean Geometry
Raef Bassily · Cristóbal Guzmán · Michael Menart
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Workshop
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Efficient Modeling of Irregular Time-Series with Stochastic Optimal Control
Byoungwoo Park · Hyungi Lee · Juho Lee
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Workshop
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Distributionally Robust Optimisation with Bayesian Ambiguity Sets
Harita Dellaporta · Patrick O'Hara · Theodoros Damoulas
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Workshop
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Sun 13:15
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Contributed talk: Joint cosmological parameter inference and initial condition reconstruction with Stochastic Interpolants
Carolina Cuesta
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Workshop
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Integrating Macromolecular X-ray Diffraction Data with Variational Inference
Luis Aldama · Kevin Dalton · Doeke Hekstra
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Workshop
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Variational Search Distributions
Daniel Steinberg · Rafael Oliveira · Cheng Soon Ong · Edwin Bonilla
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Poster
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Fri 16:30
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Functional Gradient Flows for Constrained Sampling
Shiyue Zhang · Longlin Yu · Ziheng Cheng · Cheng Zhang
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Poster
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Fri 11:00
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Asymptotics of Alpha-Divergence Variational Inference Algorithms with Exponential Families
François Bertholom · randal douc · François Roueff
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Workshop
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Improved Depth Estimation of Bayesian Neural Networks
Bart van Erp · Bert de Vries
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