Papers
Preface: Conference on Learning Theory (COLT), 2017
Satyen Kale, Ohad Shamir
Preference-based Teaching
Ziyuan Gao, Christoph Ries, Hans U. Simon et al.
Preference-based Teaching of Unions of Geometric Objects
Ziyuan Gao, David Kirkpatrick, Christoph Ries et al.
Preferential Bayesian Optimization
Javier González, Zhenwen Dai, Andreas Damianou et al.
Premise Selection for Theorem Proving by Deep Graph Embedding
Mingzhe Wang, Yihe Tang, Jian Wang et al.
Preparing for the Unknown: Learning a Universal Policy with Online System Identification
Wenhao Yu, Jie Tan, C. Karen Liu et al.
Prerequisite Relation Learning for Concepts in MOOCs
Liangming Pan, Chengjiang Li, Juanzi Li et al.
Preserving Distributional Information in Dialogue Act Classification
Quan Hung Tran, Ingrid Zukerman, Gholamreza Haffari
Preventing Gradient Explosions in Gated Recurrent Units
Sekitoshi Kanai, Yasuhiro Fujiwara, Sotetsu Iwamura
Primary Object Segmentation in Videos Based on Region Augmentation and Reduction
Yeong Jun Koh, Chang-Su Kim
Primary Video Object Segmentation via Complementary CNNs and Neighborhood Reversible Flow
Jia Li, Anlin Zheng, Xiaowu Chen et al.
Principal Variety Analysis
Reza Iraji, Hamidreza Chitsaz
Principles for Learning Controllable TTS from Annotated and Latent Variation
Gustav Eje Henter, Jaime Lorenzo-Trueba, Xin Wang et al.
Principles of Riemannian Geometry in Neural Networks
Michael Hauser, Asok Ray
Prio: Private, Robust, and Scalable Computation of Aggregate Statistics
Henry Corrigan-Gibbs, Dan Boneh
Prior Knowledge Integration for Neural Machine Translation using Posterior Regularization
Jiacheng Zhang, Yang Liu, Huanbo Luan et al.
Privacy and Autonomous Systems
Jose M. Such
Privacy Issues Regarding the Application of DNNs to Activity-Recognition using Wearables and Its Countermeasures by Use of Adversarial Training
Yusuke Iwasawa, Kotaro Nakayama, Ikuko Yairi et al.
Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption
Ryo Yonetani, Vishnu Naresh Boddeti, Kris M. Kitani et al.
Privileged Matrix Factorization for Collaborative Filtering
Yali Du, Chang Xu, Dacheng Tao
Privileged Multi-label Learning
Shan You, Chang Xu, Yunhe Wang et al.
Priv’IT: Private and Sample Efficient Identity Testing
Bryan Cai, Constantinos Daskalakis, Gautam Kamath
Proactive and Reactive Coordination of Non-dedicated Agent Teams Operating in Uncertain Environments
Pritee Agrawal, Pradeep Varakantham
Probabilistic Completeness of Randomized Possibility Graphs Applied to Bipedal Walking in Semi-unstructured Environments
Michael Grey, Aaron Ames, C. Karen Liu
Probabilistic Inference for Cold Start Knowledge Base Population with Prior World Knowledge
Bonan Min, Marjorie Freedman, Talya Meltzer