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Workshop
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The Pairwise Prony Algorithm: Efficient Inference of Stochastic Block Models with Prescribed Subgraph Densities
Lee M Gunderson · Gecia Bravo-Hermsdorff · Peter Orbanz
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Poster
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Thu 16:30
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Efficient Algorithms for Exact Graph Matching on Correlated Stochastic Block Models with Constant Correlation
Joonhyuk Yang · Dongpil Shin · Hye Won Chung
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Poster
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Thu 13:30
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Efficient preconditioned stochastic gradient descent for estimation in latent variable models
Charlotte Baey · Maud DELATTRE · Estelle Kuhn · Jean-Benoist Leger · Sarah Lemler
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Oral
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Thu 18:08
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Uncertain Evidence in Probabilistic Models and Stochastic Simulators
Andreas Munk · Alexander Mead · Frank Wood
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Workshop
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Fri 14:30
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Formal Control Synthesis for Stochastic Neural Network Dynamic Models
Steven Adams · Morteza Lahijanian · Luca Laurenti
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Poster
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Tue 14:00
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Uncertain Evidence in Probabilistic Models and Stochastic Simulators
Andreas Munk · Alexander Mead · Frank Wood
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Workshop
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An Optimal Clustering Algorithm for the Labeled Stochastic Block Model
Kaito Ariu · Se-Young Yun · Alexandre Proutiere
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Workshop
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Sat 12:35
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Shared Stochastic Gaussian process Decoders: A Probabilistic Generative model for Quasar Spectra
Vidhi Ramesh · Anna-Christina Eilers
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Workshop
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Fri 17:30
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Outstanding Paper: Formal Control Synthesis for Stochastic Neural Network Dynamic Models - Steven Adams, Morteza Lahijanian, Luca Laurenti
Steven Adams
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Poster
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Tue 17:00
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Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization
Quanqi Hu · Zi-Hao Qiu · Zhishuai Guo · Lijun Zhang · Tianbao Yang
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Poster
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Thu 13:30
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A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining
Shengchao Liu · weitao du · Zhiming Ma · Hongyu Guo · Jian Tang
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Poster
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Wed 14:00
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Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion
Marin Biloš · Kashif Rasul · Anderson Schneider · Yuriy Nevmyvaka · Stephan Günnemann
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