Papers
Differential Privacy without Sensitivity
Kentaro Minami, HItomi Arai, Issei Sato et al.
Solving Marginal MAP Problems with NP Oracles and Parity Constraints
Yexiang Xue, Zhiyuan Li, Stefano Ermon et al.
Memory-Efficient Backpropagation Through Time
Audrunas Gruslys, Remi Munos, Ivo Danihelka et al.
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
Tolga Bolukbasi, Kai-Wei Chang, James Y Zou et al.
Graphons, mergeons, and so on!
Justin Eldridge, Mikhail Belkin, Yusu Wang
Scalable Adaptive Stochastic Optimization Using Random Projections
Gabriel Krummenacher, Brian McWilliams, Yannic Kilcher et al.
Learning Deep Parsimonious Representations
Renjie Liao, Alex Schwing, Richard Zemel et al.
Blind Attacks on Machine Learners
Alex Beatson, Zhaoran Wang, Han Liu
Inference by Reparameterization in Neural Population Codes
Rajkumar Vasudeva Raju, Zachary Pitkow
Batched Gaussian Process Bandit Optimization via Determinantal Point Processes
Tarun Kathuria, Amit Deshpande, Pushmeet Kohli
Deep Learning Models of the Retinal Response to Natural Scenes
Lane McIntosh, Niru Maheswaranathan, Aran Nayebi et al.
Learned Region Sparsity and Diversity Also Predicts Visual Attention
Zijun Wei, Hossein Adeli, Minh Hoai Nguyen et al.
Geometric Dirichlet Means Algorithm for topic inference
Mikhail Yurochkin, Xuanlong Nguyen
On Graph Reconstruction via Empirical Risk Minimization: Fast Learning Rates and Scalability
Guillaume Papa, Aurélien Bellet, Stephan Clémençon
Guided Policy Search via Approximate Mirror Descent
William H Montgomery, Sergey Levine
Adaptive Maximization of Pointwise Submodular Functions With Budget Constraint
Nguyen Cuong, Huan Xu
Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale
Firas Abuzaid, Joseph K. Bradley, Feynman T Liang et al.
Adaptive Newton Method for Empirical Risk Minimization to Statistical Accuracy
Aryan Mokhtari, Hadi Daneshmand, Aurelien Lucchi et al.
Using Fast Weights to Attend to the Recent Past
Jimmy Ba, Geoffrey E. Hinton, Volodymyr Mnih et al.
A state-space model of cross-region dynamic connectivity in MEG/EEG
Ying Yang, Elissa Aminoff, Michael Tarr et al.
Double Thompson Sampling for Dueling Bandits
Huasen Wu, Xin Liu
Hierarchical Question-Image Co-Attention for Visual Question Answering
Jiasen Lu, Jianwei Yang, Dhruv Batra et al.
Kernel Observers: Systems-Theoretic Modeling and Inference of Spatiotemporally Evolving Processes
Hassan A Kingravi, Harshal R Maske, Girish Chowdhary
Learning User Perceived Clusters with Feature-Level Supervision
Ting-Yu Cheng, Guiguan Lin, xinyang gong et al.