Papers
Testing for Differences in Gaussian Graphical Models: Applications to Brain Connectivity
Eugene Belilovsky, Gaël Varoquaux, Matthew B Blaschko
The Forget-me-not Process
Kieran Milan, Joel Veness, James Kirkpatrick et al.
The Generalized Reparameterization Gradient
Francisco R Ruiz, Michalis Titsias RC AUEB, David Blei
The Limits of Learning with Missing Data
Brian Bullins, Elad Hazan, Tomer Koren
The Multi-fidelity Multi-armed Bandit
Kirthevasan Kandasamy, Gautam Dasarathy, Barnabas Poczos et al.
The Multiple Quantile Graphical Model
Alnur Ali, J. Zico Kolter, Ryan J Tibshirani
The Multiscale Laplacian Graph Kernel
Risi Kondor, Horace Pan
The non-convex Burer-Monteiro approach works on smooth semidefinite programs
Nicolas Boumal, Vlad Voroninski, Afonso Bandeira
Theoretical Comparisons of Positive-Unlabeled Learning against Positive-Negative Learning
Gang Niu, Marthinus Christoffel du Plessis, Tomoya Sakai et al.
The Parallel Knowledge Gradient Method for Batch Bayesian Optimization
Jian Wu, Peter Frazier
The Power of Adaptivity in Identifying Statistical Alternatives
Kevin G. Jamieson, Daniel Haas, Benjamin Recht
The Power of Optimization from Samples
Eric Balkanski, Aviad Rubinstein, Yaron Singer
The Product Cut
Thomas Laurent, James von Brecht, Xavier Bresson et al.
The Robustness of Estimator Composition
Pingfan Tang, Jeff M Phillips
The Sound of APALM Clapping: Faster Nonsmooth Nonconvex Optimization with Stochastic Asynchronous PALM
Damek Davis, Brent Edmunds, Madeleine Udell
Threshold Bandits, With and Without Censored Feedback
Jacob D. Abernethy, Kareem Amin, Ruihao Zhu
Threshold Learning for Optimal Decision Making
Nathan F Lepora
Tight Complexity Bounds for Optimizing Composite Objectives
Blake E Woodworth, Nati Srebro
Total Variation Classes Beyond 1d: Minimax Rates, and the Limitations of Linear Smoothers
Veeranjaneyulu Sadhanala, Yu-Xiang Wang, Ryan J Tibshirani
Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity
Amit Daniely, Roy Frostig, Yoram Singer
Towards Conceptual Compression
Karol Gregor, Frederic Besse, Danilo Jimenez Rezende et al.
Towards Unifying Hamiltonian Monte Carlo and Slice Sampling
Yizhe Zhang, Xiangyu Wang, Changyou Chen et al.
Tracking the Best Expert in Non-stationary Stochastic Environments
Chen-Yu Wei, Yi-Te Hong, Chi-Jen Lu
Tractable Operations for Arithmetic Circuits of Probabilistic Models
Yujia Shen, Arthur Choi, Adnan Darwiche
Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images
Junhua Mao, Jiajing Xu, Kevin Jing et al.