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Session
Spotlight Session 7
Cedric Archambeau
Wed Dec 14 04:30 AM -- 05:00 AM (PST) @
Author Information
Cedric Archambeau (Helsing)
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2022 : Differentially Private Gradient Boosting on Linear Learners for Tabular Data »
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2022 Poster: Memory Efficient Continual Learning with Transformers »
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2022 Poster: Private Synthetic Data for Multitask Learning and Marginal Queries »
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2020 Session: Orals & Spotlights Track 16: Continual/Meta/Misc Learning »
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2017 : Industry talk: Cedric Archambeau (TBA) »
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2014 Workshop: Learning Semantics »
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2011 Workshop: Choice Models and Preference Learning »
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2011 Session: Oral Session 9 »
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2011 Poster: Sparse Bayesian Multi-Task Learning »
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2008 Poster: Sparse probabilistic projections »
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2008 Spotlight: Sparse probabilistic projections »
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2007 Poster: Variational Inference for Diffusion Processes »
Cedric Archambeau · Manfred Opper · Yuan Shen · Dan Cornford · John Shawe-Taylor -
2006 Workshop: Dynamical Systems, Stochastic Processes and Bayesian Inference »
Manfred Opper · Cedric Archambeau · John Shawe-Taylor