Papers
Optimal rates for k-NN density and mode estimation
Sanjoy Dasgupta, Samory Kpotufe
Automatic Discovery of Cognitive Skills to Improve the Prediction of Student Learning
Robert Lindsey, Mohammad Khajah, Michael Mozer
Robust Tensor Decomposition with Gross Corruption
Quanquan Gu, Huan Gui, Jiawei Han
Inferring synaptic conductances from spike trains with a biophysically inspired point process model
Kenneth W Latimer, E. J. Chichilnisky, Fred Rieke et al.
Efficient Inference of Continuous Markov Random Fields with Polynomial Potentials
Shenlong Wang, Alex Schwing, Raquel Urtasun
Deterministic Symmetric Positive Semidefinite Matrix Completion
William E Bishop, Byron M. Yu
Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models
Yichuan Zhang, Charles Sutton
Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature
Tom Gunter, Michael A Osborne, Roman Garnett et al.
Altitude Training: Strong Bounds for Single-Layer Dropout
Stefan Wager, William Fithian, Sida Wang et al.
Bayesian Nonlinear Support Vector Machines and Discriminative Factor Modeling
Ricardo Henao, Xin Yuan, Lawrence Carin
Incremental Local Gaussian Regression
Franziska Meier, Philipp Hennig, Stefan Schaal
Clustering from Labels and Time-Varying Graphs
Shiau Hong Lim, Yudong Chen, Huan Xu
Near-Optimal-Sample Estimators for Spherical Gaussian Mixtures
Ananda Theertha Suresh, Alon Orlitsky, Jayadev Acharya et al.
Median Selection Subset Aggregation for Parallel Inference
Xiangyu Wang, Peichao Peng, David B Dunson
Object Localization based on Structural SVM using Privileged Information
Jan Feyereisl, Suha Kwak, Jeany Son et al.
Weakly-supervised Discovery of Visual Pattern Configurations
Hyun Oh Song, Yong Jae Lee, Stefanie Jegelka et al.
On the Computational Efficiency of Training Neural Networks
Roi Livni, Shai Shalev-Shwartz, Ohad Shamir
Graph Clustering With Missing Data: Convex Algorithms and Analysis
Ramya Korlakai Vinayak, Samet Oymak, Babak Hassibi
A Differential Equation for Modeling Nesterov’s Accelerated Gradient Method: Theory and Insights
Weijie Su, Stephen Boyd, Emmanuel Candes
Inferring sparse representations of continuous signals with continuous orthogonal matching pursuit
Karin C Knudson, Jacob Yates, Alexander Huk et al.
Proximal Quasi-Newton for Computationally Intensive L1-regularized M-estimators
Kai Zhong, Ian En-Hsu Yen, Inderjit S Dhillon et al.
Consistent Binary Classification with Generalized Performance Metrics
Oluwasanmi O Koyejo, Nagarajan Natarajan, Pradeep K Ravikumar et al.
Recursive Context Propagation Network for Semantic Scene Labeling
Abhishek Sharma, Oncel Tuzel, Ming-Yu Liu
Optimal decision-making with time-varying evidence reliability
Jan Drugowitsch, Ruben Moreno-Bote, Alexandre Pouget