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Poster
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Wed 9:00
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Temporal Variability in Implicit Online Learning
Nicolò Campolongo · Francesco Orabona
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Poster
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Thu 21:00
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Constraining Variational Inference with Geometric Jensen-Shannon Divergence
Jacob Deasy · Nikola Simidjievski · Pietro Lió
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Poster
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Tue 9:00
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Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary Learning
Sirisha Rambhatla · Xingguo Li · Jarvis Haupt
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Poster
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Wed 9:00
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Estimation and Imputation in Probabilistic Principal Component Analysis with Missing Not At Random Data
Aude Sportisse · Claire Boyer · Julie Josse
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Workshop
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Poster: Online Hyper-parameter Tuning in Off-policy Learning via Evolutionary Strategies
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Poster
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Thu 21:00
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Efficient Online Learning of Optimal Rankings: Dimensionality Reduction via Gradient Descent
Dimitris Fotakis · Thanasis Lianeas · Georgios Piliouras · Stratis Skoulakis
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Poster
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Tue 9:00
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Smoothed Analysis of Online and Differentially Private Learning
Nika Haghtalab · Tim Roughgarden · Abhishek Shetty
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Spotlight
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Tue 7:30
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Smoothed Analysis of Online and Differentially Private Learning
Nika Haghtalab · Tim Roughgarden · Abhishek Shetty
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Poster
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Thu 21:00
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Estimating Training Data Influence by Tracing Gradient Descent
Garima Pruthi · Frederick Liu · Satyen Kale · Mukund Sundararajan
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Poster
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Tue 21:00
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Online Learning in Contextual Bandits using Gated Linear Networks
Eren Sezener · Marcus Hutter · David Budden · Jianan Wang · Joel Veness
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Poster
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Tue 21:00
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Backpropagating Linearly Improves Transferability of Adversarial Examples
Yiwen Guo · Qizhang Li · Hao Chen
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Spotlight
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Thu 20:00
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Estimating Training Data Influence by Tracing Gradient Descent
Garima Pruthi · Frederick Liu · Satyen Kale · Mukund Sundararajan
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