Papers
Differentially private Bayesian learning on distributed data
Mikko Heikkilä, Eemil Lagerspetz, Samuel Kaski et al.
Multi-Information Source Optimization
Matthias Poloczek, Jialei Wang, Peter Frazier
Practical Bayesian Optimization for Model Fitting with Bayesian Adaptive Direct Search
Luigi Acerbi, Wei Ji Ma
Tractability in Structured Probability Spaces
Arthur Choi, Yujia Shen, Adnan Darwiche
Multi-output Polynomial Networks and Factorization Machines
Mathieu Blondel, Vlad Niculae, Takuma Otsuka et al.
Efficient Approximation Algorithms for Strings Kernel Based Sequence Classification
Muhammad Farhan, Juvaria Tariq, Arif Zaman et al.
A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering
Hongteng Xu, Hongyuan Zha
Discovering Potential Correlations via Hypercontractivity
Hyeji Kim, Weihao Gao, Sreeram Kannan et al.
Identifying Outlier Arms in Multi-Armed Bandit
Honglei Zhuang, Chi Wang, Yifan Wang
Fast Rates for Bandit Optimization with Upper-Confidence Frank-Wolfe
Quentin Berthet, Vianney Perchet
SVCCA: Singular Vector Canonical Correlation Analysis for Deep Learning Dynamics and Interpretability
Maithra Raghu, Justin Gilmer, Jason Yosinski et al.
Unsupervised Image-to-Image Translation Networks
Ming-Yu Liu, Thomas Breuel, Jan Kautz
DropoutNet: Addressing Cold Start in Recommender Systems
Maksims Volkovs, Guangwei Yu, Tomi Poutanen
Subspace Clustering via Tangent Cones
Amin Jalali, Rebecca Willett
Maxing and Ranking with Few Assumptions
Moein Falahatgar, Yi Hao, Alon Orlitsky et al.
Compression-aware Training of Deep Networks
Jose M Alvarez, Mathieu Salzmann
Clustering with Noisy Queries
Arya Mazumdar, Barna Saha
Structured Bayesian Pruning via Log-Normal Multiplicative Noise
Kirill Neklyudov, Dmitry Molchanov, Arsenii Ashukha et al.
Online Convex Optimization with Stochastic Constraints
Hao Yu, Michael Neely, Xiaohan Wei
Adaptive Classification for Prediction Under a Budget
Feng Nan, Venkatesh Saligrama
Resurrecting the sigmoid in deep learning through dynamical isometry: theory and practice
Jeffrey Pennington, Samuel Schoenholz, Surya Ganguli
Learning Combinatorial Optimization Algorithms over Graphs
Elias Khalil, Hanjun Dai, Yuyu Zhang et al.
Thinking Fast and Slow with Deep Learning and Tree Search
Thomas Anthony, Zheng Tian, David Barber
Approximation Bounds for Hierarchical Clustering: Average Linkage, Bisecting K-means, and Local Search
Benjamin Moseley, Joshua Wang
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
Charles Ruizhongtai Qi, Li Yi, Hao Su et al.