Semi-supervised learning via compact latent space clustering
Wednesday, July 11, 2018 | 1:50 PM–2:10 PM | Victoria
Konstantinos Kamnitsas, Daniel C. Castro, Loic Le Folgoc, Ian Walker, Ryutaro Tanno, Daniel Rueckert, Ben Glocker, Antonio Criminisi, Aditya Nori
Katyusha X: Simple Momentum Method for Stochastic Sum-of-Nonconvex Optimization
Wednesday, July 11, 2018 | 2:10 PM–2:20 PM | A9
Learning Deep ResNet Blocks Sequentially using Boosting Theory
Wednesday, July 11, 2018 | 5:40 PM–5:50 PM | K1 + K2
Furong Huang, Jordan Ash, John Langford, Robert Schapire
Model-Level Dual Learning
Wednesday, July 11, 2018 | 3:20 PM–3:30 PM | Victoria
Yingce Xia, Xu Tan, Fei Tian, Tao Qin, Tie-Yan Liu
Differentially Private Matrix Completion, Revisited
Wednesday, July 11, 2018 | 4:00 PM–4:20 PM | A6
Prateek Jain, Om Dipakbhai Thakkar, Abhradeep Thakurta
Which Training Methods for GANs do actually Converge?
Wednesday, July 11, 2018 | 4:00 PM–4:20 PM | A7
Lars Mescheder, Andreas Geiger, Sebastian Nowozin
Fair and Diverse DPP-based Data Summarization
Wednesday, July 11, 2018 | 5:50 PM–6:00 PM | A6
Elisa Celis, Vijay Keswani, Damian Straszak, Amit Jayant Deshpande, Tarun Kathuria, Nisheeth Vishnoi
Exploring Hidden Dimensions in Accelerating Convolutional Neural Networks
Thursday, July 12, 2018 | 11:00 AM–11:20 AM | A9
Zhihao Jia, Sina Lin, Charles Qi, Alex Aiken
Compressing Neural Networks using the Variational Information Bottleneck
Thursday, July 12, 2018 | 11:20 AM–11:40 AM | Victoria
Bin Dai, Chen Zhu, Baining Guo, David Wipf
SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation
Thursday, July 12, 2018 | 11:20 AM–11:40 AM | A1
Bo Dai, Albert Shaw, Lihong Li, Lin Xiao, Niao He, Zhen Liu, Jianshu Chen, Le Song
Focused Hierarchical RNNs for Conditional Sequence Processing
Thursday, July 12, 2018 | 1:30 PM–1:50 PM | Victoria
Nan Ke, Konrad Zolna, Alessandro Sordoni, Zhouhan Lin Bengio, Joelle Pineau, Laurent Charlin, Christopher Pal
Make the Minority Great Again: First-Order Regret Bound for Contextual Bandits
Thursday, July 12, 2018 | 3:10 PM–3:20 PM | A5
Zeyuan Allen-Zhu, Sebastien Bubeck, Yuanzhi Li
Thompson Sampling for Combinatorial Semi-Bandits
Thursday, July 12, 2018 | 3:20 PM–3:30 PM | A5
Siwei Wang, Wei Chen
Practical Contextual Bandits with Regression Oracles
Thursday, July 12, 2018 | 4:20 PM–4:40 PM | A5
Dylan Foster, Alekh Agarwal, Miroslav Dudik, Haipeng Luo, Robert Schapire
Towards Binary-Valued Gates for Robust LSTM Training
Thursday, July 12, 2018 | 4:50 PM–5:00 PM | A3
Zhuohan Li, Di He, Fei Tian, Wei Chen, Tao Qin, Liwei Wang, Tie-Yan Liu
Riemannian Stochastic Recursive Gradient Algorithm with Retraction and Vector Transport and Its Convergence Analysis
Thursday, July 12, 2018 | 5:30 PM–5:40 PM | A9
Hiroyuki Kasai, Hiroyuki Sato, Bamdev Mishra
A Reductions Approach to Fair Classification
Friday, July 13, 2018 | 9:30 AM–9:50 AM | A6
Alekh Agarwal, Alina Beygelzimer, Miroslav Dudik, John Langford, Hanna Wallach
Video Prediction with Appearance and Motion Conditions
Friday, July 13, 2018 | 10:00 AM–10:10 AM | K1
Yunseok Jang, Gunhee Kim, Yale Song
Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data
Friday, July 13, 2018 | 10:20 AM–10:30 AM | A7
Amjad Almahairi, Sai Rajeswar, Alessandro Sordoni, Philip Bachman, Aaron Courville
Hierarchical Imitation and Reinforcement Learning
Friday, July 13, 2018 | 11:00 AM–11:20 AM | A1
Hoang M Le, Nan Jiang, Alekh Agarwal, Miroslav Dudik, Yisong Yue, Hal Daume
Semiparametric Contextual Bandits
Friday, July 13, 2018 | 11:20 AM–11:40 AM | A5
Akshay Krishnamurthy, Zhiwei Wu, Vasilis Syrgkanis
Rapid Adaptation with Conditionally Shifted Neurons
Friday, July 13, 2018 | 4:40 PM–4:50 PM| Victoria
Tsendsuren Munkhdalai, Xingdi Yuan, Soroush Mehri, Adam Trischler
Orthogonal Machine Learning: Power and Limitations
Friday, July 13, 2018 | 5:00 PM–5:20 PM | A5
Ilias Zadik, Lester Mackey, Vasilis Syrgkanis
Stein Points
Friday, July 13, 2018 | 5:30 PM–5:40 PM | A4
Wilson Ye Chen, Lester Mackey, Jackson Gorham, Francois-Xavier Briol, Chris J Oates
Accurate Inference for Adaptive Linear Models
Friday, July 13, 2018 | 5:40 PM–5:50 PM | A5
Yash Deshpande, Lester Mackey, Vasilis Syrgkanis, Matt Taddy
A Unified Framework for Structured Low-rank Matrix Learning
Friday, July 13, 2018 | 5:40 PM–5:50 PM | K11
Pratik Kumar Jawanpuria, Bamdev Mishra