Papers
Pretraining Sentiment Classifiers with Unlabeled Dialog Data
Toru Shimizu, Nobuyuki Shimizu, Hayato Kobayashi
PRETZEL: Opening the Black Box of Machine Learning Prediction Serving Systems
Yunseong Lee, Alberto Scolari, Byung-Gon Chun et al.
Preventing Disparate Treatment in Sequential Decision Making
Hoda Heidari, Andreas Krause
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
Michael Kearns, Seth Neel, Aaron Roth et al.
Prime Implicate Generation in Equational Logic (extended abstract)
Mnacho Echenim, Nicolas Peltier, Sophie Tourret
Principled Schedulability Analysis for Distributed Storage Systems using Thread Architecture Models
Suli Yang, Jing Liu, Andrea C. Arpaci-Dusseau et al.
Principled Selection of Hyperparameters in the Latent Dirichlet Allocation Model
Clint P. George, Hani Doss
Privacy Amplification by Subsampling: Tight Analyses via Couplings and Divergences
Borja Balle, Gilles Barthe, Marco Gaboardi
Privacy-preserving Neural Representations of Text
Maximin Coavoux, Shashi Narayan, Shay B. Cohen
Privacy-preserving Prediction
Cynthia Dwork, Vitaly Feldman
Privacy Sensitive Construction of Junction Tree Agent Organization for Multiagent Graphical Models
Yang Xiang, Abdulrahman Alshememry
Private Sequential Learning
John Tsitsiklis, Kuang Xu, Zhi Xu
Probabilistically Safe Robot Planning with Confidence-Based Human Predictions
Jaime Fisac, Andrea Bajcsy, Sylvia Herbert et al.
Probabilistic bipolar abstract argumentation frameworks: complexity results
Bettina Fazzinga, Sergio Flesca, Filippo Furfaro
Probabilistic Boolean Tensor Decomposition
Tammo Rukat, Chris Holmes, Christopher Yau
Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures
Luke Vilnis, Xiang Li, Shikhar Murty et al.
Probabilistic FastText for Multi-Sense Word Embeddings
Ben Athiwaratkun, Andrew Wilson, Anima Anandkumar
Probabilistic Joint Face-Skull Modelling for Facial Reconstruction
Dennis Madsen, Marcel Lüthi, Andreas Schneider et al.
Probabilistic Matrix Factorization for Automated Machine Learning
Nicolo Fusi, Rishit Sheth, Melih Elibol
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn, Kelvin Xu, Sergey Levine
Probabilistic Neural Programmed Networks for Scene Generation
Zhiwei Deng, Jiacheng Chen, YIFANG FU et al.
Probabilistic Plant Modeling via Multi-View Image-to-Image Translation
Takahiro Isokane, Fumio Okura, Ayaka Ide et al.
Probabilistic preference learning with the Mallows rank model
Valeria Vitelli, Øystein Sørensen, Marta Crispino et al.
Probabilistic Recurrent State-Space Models
Andreas Doerr, Christian Daniel, Martin Schiegg et al.