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Poster
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Tue 9:00
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Stochastic Gradient Descent in Correlated Settings: A Study on Gaussian Processes
Hao Chen · Lili Zheng · Raed AL Kontar · Garvesh Raskutti
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Poster
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Thu 9:00
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Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters
Sulin Liu · Xingyuan Sun · Peter J Ramadge · Ryan Adams
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Spotlight
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Mon 19:50
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Provably Efficient Exploration for Reinforcement Learning Using Unsupervised Learning
Fei Feng · Ruosong Wang · Wotao Yin · Simon Du · Lin Yang
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Poster
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Tue 21:00
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Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes
Minh Hoang · Nghia Hoang · Hai Pham · David Woodruff
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Poster
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Wed 9:00
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Multi-task Causal Learning with Gaussian Processes
Virginia Aglietti · Theodoros Damoulas · Mauricio Álvarez · Javier González
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Poster
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Mon 21:00
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Provably Efficient Exploration for Reinforcement Learning Using Unsupervised Learning
Fei Feng · Ruosong Wang · Wotao Yin · Simon Du · Lin Yang
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Workshop
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Sat 12:49
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Scalable Gaussian Process Regression Via Median Posterior Inference for Estimating Multi-Pollutant Mixture Health Effects - Aaron Sonabend
Aaron Sonabend
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Poster
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Mon 21:00
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When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes
Zhaozhi Qian · Ahmed Alaa · Mihaela van der Schaar
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Oral
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Mon 18:00
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When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes
Zhaozhi Qian · Ahmed Alaa · Mihaela van der Schaar
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Poster
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Tue 9:00
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Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes
Mengdi Xu · Wenhao Ding · Jiacheng Zhu · ZUXIN LIU · Baiming Chen · Ding Zhao
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Poster
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Thu 9:00
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Non-reversible Gaussian processes for identifying latent dynamical structure in neural data
Virginia Rutten · Alberto Bernacchia · Maneesh Sahani · Guillaume Hennequin
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Oral
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Thu 6:15
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Non-reversible Gaussian processes for identifying latent dynamical structure in neural data
Virginia Rutten · Alberto Bernacchia · Maneesh Sahani · Guillaume Hennequin
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