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71 Results
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Poster
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Thu 15:00 |
Conditional score-based diffusion models for Bayesian inference in infinite dimensions Lorenzo Baldassari · Ali Siahkoohi · Josselin Garnier · Knut Solna · Maarten V. de Hoop |
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Poster
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Wed 15:00 |
The Memory-Perturbation Equation: Understanding Model's Sensitivity to Data Peter Nickl · Lu Xu · Dharmesh Tailor · Thomas Möllenhoff · Mohammad Emtiyaz Khan |
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Poster
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Thu 15:00 |
Single-Call Stochastic Extragradient Methods for Structured Non-monotone Variational Inequalities: Improved Analysis under Weaker Conditions Sayantan Choudhury · Eduard Gorbunov · Nicolas Loizou |
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Poster
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Wed 8:45 |
Byzantine-Tolerant Methods for Distributed Variational Inequalities Nazarii Tupitsa · Abdulla Jasem Almansoori · Yanlin Wu · Martin Takac · Karthik Nandakumar · Samuel Horváth · Eduard Gorbunov |
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Poster
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Thu 15:00 |
Star-Shaped Denoising Diffusion Probabilistic Models Andrey Okhotin · Dmitry Molchanov · Arkhipkin Vladimir · Grigory Bartosh · Viktor Ohanesian · Aibek Alanov · Dmitry Vetrov |
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Poster
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Thu 8:45 |
NPCL: Neural Processes for Uncertainty-Aware Continual Learning Saurav Jha · Dong Gong · He Zhao · Lina Yao |
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Poster
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Thu 8:45 |
Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift Florian Seligmann · Philipp Becker · Michael Volpp · Gerhard Neumann |
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Workshop
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Fri 7:30 |
Contributed Talks 1: *Escaping mediocrity: how two-layer networks learn hard generalized linear models* and *Last Iterate Convergence of Popov Method for Non-monotone Stochastic Variational Inequalities* Bruno Loureiro · Daniil Vankov · Courtney Paquette |
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Poster
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Wed 8:45 |
First Order Methods with Markovian Noise: from Acceleration to Variational Inequalities Aleksandr Beznosikov · Sergey Samsonov · Marina Sheshukova · Alexander Gasnikov · Alexey Naumov · Eric Moulines |
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Poster
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Thu 15:00 |
Physics-Informed Bayesian Optimization of Variational Quantum Circuits Kim Nicoli · Christopher J. Anders · Lena Funcke · Tobias Hartung · Karl Jansen · Stefan Kühn · Klaus-Robert Müller · Paolo Stornati · Pan Kessel · Shinichi Nakajima |
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Workshop
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Improved Black-box Variational Inference for High-dimensional Bayesian Inversion involving Black-box Simulators Dhruv Patel · Jonghyun Lee · Matthew Farthing · Tyler Hesser · Peter Kitanidis · Eric Darve |