Papers
SDP Relaxation with Randomized Rounding for Energy Disaggregation
Kiarash Shaloudegi, András György, Csaba Szepesvari et al.
Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation
Jianxu Chen, Lin Yang, Yizhe Zhang et al.
Hierarchical Clustering via Spreading Metrics
Aurko Roy, Sebastian Pokutta
Consistent Kernel Mean Estimation for Functions of Random Variables
Carl-Johann Simon-Gabriel, Adam Scibior, Ilya O Tolstikhin et al.
Exploiting the Structure: Stochastic Gradient Methods Using Raw Clusters
Zeyuan Allen-Zhu, Yang Yuan, Karthik Sridharan
Towards Conceptual Compression
Karol Gregor, Frederic Besse, Danilo Jimenez Rezende et al.
An Architecture for Deep, Hierarchical Generative Models
Philip Bachman
Probing the Compositionality of Intuitive Functions
Eric Schulz, Josh Tenenbaum, David K. Duvenaud et al.
NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization
Davood Hajinezhad, Mingyi Hong, Tuo Zhao et al.
Multi-armed Bandits: Competing with Optimal Sequences
Zohar S Karnin, Oren Anava
An algorithm for L1 nearest neighbor search via monotonic embedding
Xinan Wang, Sanjoy Dasgupta
Assortment Optimization Under the Mallows model
Antoine Desir, Vineet Goyal, Srikanth Jagabathula et al.
A Probabilistic Programming Approach To Probabilistic Data Analysis
Feras Saad, Vikash K Mansinghka
Domain Separation Networks
Konstantinos Bousmalis, George Trigeorgis, Nathan Silberman et al.
Breaking the Bandwidth Barrier: Geometrical Adaptive Entropy Estimation
Weihao Gao, Sewoong Oh, Pramod Viswanath
Stochastic Gradient Methods for Distributionally Robust Optimization with f-divergences
Hongseok Namkoong, John C. Duchi
Optimistic Gittins Indices
Eli Gutin, Vivek Farias
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Jiajun Wu, Chengkai Zhang, Tianfan Xue et al.
Online Pricing with Strategic and Patient Buyers
Michal Feldman, Tomer Koren, Roi Livni et al.
Catching heuristics are optimal control policies
Boris Belousov, Gerhard Neumann, Constantin A Rothkopf et al.
Asynchronous Parallel Greedy Coordinate Descent
Yang You, Xiangru Lian, Ji Liu et al.
Dual Space Gradient Descent for Online Learning
Trung Le, Tu Nguyen, Vu Nguyen et al.
Regret of Queueing Bandits
Subhashini Krishnasamy, Rajat Sen, Ramesh Johari et al.
How Deep is the Feature Analysis underlying Rapid Visual Categorization?
Sven Eberhardt, Jonah G Cader, Thomas Serre