Papers
Distribution of Gaussian Process Arc Lengths
Justin Bewsher, Alessandra Tosi, Michael Osborne et al.
Efficient Online Multiclass Prediction on Graphs via Surrogate Losses
Alexander Rakhlin, Karthik Sridharan
Optimal Recovery of Tensor Slices
Vivek Farias, Andrew Li
Initialization and Coordinate Optimization for Multi-way Matching
Da Tang, Tony Jebara
Linking Micro Event History to Macro Prediction in Point Process Models
Yichen Wang, Xiaojing Ye, Haomin Zhou et al.
On the Interpretability of Conditional Probability Estimates in the Agnostic Setting
Yihan Gao, Aditya Parameswaran, Jian Peng
Information Projection and Approximate Inference for Structured Sparse Variables
Rajiv Khanna, Joydeep Ghosh, Rusell Poldrack et al.
Active Positive Semidefinite Matrix Completion: Algorithms, Theory and Applications
Aniruddha Bhargava, Ravi Ganti, Rob Nowak
Inference Compilation and Universal Probabilistic Programming
Tuan Anh Le, Atilim Gunes Baydin, Frank Wood
Spatial Decompositions for Large Scale SVMs
Philipp Thomann, Ingrid Blaschzyk, Mona Meister et al.
Discovering and Exploiting Additive Structure for Bayesian Optimization
Jacob Gardner, Chuan Guo, Kilian Weinberger et al.
Learning the Network Structure of Heterogeneous Data via Pairwise Exponential Markov Random Fields
Youngsuk Park, David Hallac, Stephen Boyd et al.
Signal-based Bayesian Seismic Monitoring
David Moore, Stuart Russell
Learning Structured Weight Uncertainty in Bayesian Neural Networks
Shengyang Sun, Changyou Chen, Lawrence Carin
Communication-Efficient Learning of Deep Networks from Decentralized Data
Brendan McMahan, Eider Moore, Daniel Ramage et al.
Prediction Performance After Learning in Gaussian Process Regression
Johan Wagberg, Dave Zachariah, Thomas Schon et al.
Fast Classification with Binary Prototypes
Kai Zhong, Ruiqi Guo, Sanjiv Kumar et al.
Thompson Sampling for Linear-Quadratic Control Problems
Marc Abeille, Alessandro Lazaric
Relativistic Monte Carlo
Xiaoyu Lu, Valerio Perrone, Leonard Hasenclever et al.
Local Group Invariant Representations via Orbit Embeddings
Anant Raj, Abhishek Kumar, Youssef Mroueh et al.
Diverse Neural Network Learns True Target Functions
Bo Xie, Yingyu Liang, Le Song
Compressed Least Squares Regression revisited
Martin Slawski
Modal-set estimation with an application to clustering
Heinrich Jiang, Samory Kpotufe
Sketchy Decisions: Convex Low-Rank Matrix Optimization with Optimal Storage
Alp Yurtsever, Madeleine Udell, Joel Tropp et al.