Papers
Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer
David Madras, Toni Pitassi, Richard Zemel
PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning
Yunbo Wang, Zhifeng Gao, Mingsheng Long et al.
Preference Based Adaptation for Learning Objectives
Yao-Xiang Ding, Zhi-Hua Zhou
Preference-Based Inconsistency Management in Multi-Context Systems (Extended Abstract)
Thomas Eiter, Antonius Weinzierl
Preference Learning in Assistive Robotics: Observational Repeated Inverse Reinforcement Learning
Bryce Woodworth, Francesco Ferrari, Teofilo E. Zosa et al.
Preference-Learning with Qualitative Agreement for Sentence Level Emotional Annotations
Srinivas Parthasarathy, Carlos Busso
Preference Orders on Families of Sets - When Can Impossibility Results Be Avoided?
Jan Maly, Miroslaw Truszczynski, Stefan Woltran
Preferred Answer Selection in Stack Overflow: Better Text Representations ... and Metadata, Metadata, Metadata
Steven Xu, Andrew Bennett, Doris Hoogeveen et al.
Prefix Lexicalization of Synchronous CFGs using Synchronous TAG
Logan Born, Anoop Sarkar
Preposition Sense Disambiguation and Representation
Hongyu Gong, Jiaqi Mu, Suma Bhat et al.
Preserving Semantic Relations for Zero-Shot Learning
Yashas Annadani, Soma Biswas
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