Papers
Practical Federated Gradient Boosting Decision Trees
Qinbin Li, Zeyi Wen, Bingsheng He
Practical Frank–Wolfe Method with Decision Diagrams for Computing Wardrop Equilibrium of Combinatorial Congestion Games
Kengo Nakamura, Shinsaku Sakaue, Norihito Yasuda
Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods
Ferdinando Fioretto, Terrence W.K. Mak, Pascal Van Hentenryck
Predicting Opioid Overdose Crude Rates with Text-Based Twitter Features (Student Abstract)
Nupoor Gandhi, Alex Morales, Sally Man-Pui Chan et al.
Predicting Propositional Satisfiability via End-to-End Learning
Chris Cameron, Rex Chen, Jason Hartford et al.
Predicting Students' Attention Level with Interpretable Facial and Head Dynamic Features in an Online Tutoring System (Student Abstract)
Shimeng Peng, Lujie Chen, Chufan Gao et al.
Predictive Engagement: An Efficient Metric for Automatic Evaluation of Open-Domain Dialogue Systems
Sarik Ghazarian, Ralph Weischedel, Aram Galstyan et al.
Predictive Student Modeling in Educational Games with Multi-Task Learning
Michael Geden, Andrew Emerson, Jonathan Rowe et al.
Preserving Ordinal Consensus: Towards Feature Selection for Unlabeled Data
Jun Guo, Heng Chang, Wenwu Zhu
Preventing Arbitrage from Collusion When Eliciting Probabilities
Rupert Freeman, David M. Pennock, Dominik Peters et al.
Price of Fairness in Budget Division and Probabilistic Social Choice
Marcin Michorzewski, Dominik Peters, Piotr Skowron
Privacy Enhanced Multimodal Neural Representations for Emotion Recognition
Mimansa Jaiswal, Emily Mower Provost
Privacy-Preserving Gaussian Process Regression – A Modular Approach to the Application of Homomorphic Encryption
Peter Fenner, Edward Pyzer-Knapp
Privacy-Preserving Gradient Boosting Decision Trees
Qinbin Li, Zhaomin Wu, Zeyi Wen et al.
Private Bayesian Persuasion with Sequential Games
Andrea Celli, Stefano Coniglio, Nicola Gatti
Probabilistic Inference for Predicate Constraint Satisfaction
Yuki Satake, Hiroshi Unno, Hinata Yanagi
Probabilistic Reasoning Across the Causal Hierarchy
Duligur Ibeling, Thomas Icard
Probabilistic Super Resolution for Mineral Spectroscopy
Alberto Candela, David R. Thompson, David Wettergreen et al.
Probing Brain Activation Patterns by Dissociating Semantics and Syntax in Sentences
Shaonan Wang, Jiajun Zhang, Nan Lin et al.
Probing Natural Language Inference Models through Semantic Fragments
Kyle Richardson, Hai Hu, Lawrence Moss et al.
Progressive Bi-C3D Pose Grammar for Human Pose Estimation
Lu Zhou, Yingying Chen, Jinqiao Wang et al.
Progressive Boundary Refinement Network for Temporal Action Detection
Qinying Liu, Zilei Wang
Progressive Feature Polishing Network for Salient Object Detection
Bo Wang, Quan Chen, Min Zhou et al.
Proportional Belief Merging
Adrian Haret, Martin Lackner, Andreas Pfandler et al.