Papers
Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation
Benjamin Rolfs, Bala Rajaratnam, Dominique Guillot et al.
A Geometric take on Metric Learning
Søren Hauberg, Oren Freifeld, Michael J. Black
The representer theorem for Hilbert spaces: a necessary and sufficient condition
Francesco Dinuzzo, Bernhard Schölkopf
One Permutation Hashing
Ping Li, Art Owen, Cun-hui Zhang
Projection Retrieval for Classification
Madalina Fiterau, Artur Dubrawski
Memorability of Image Regions
Aditya Khosla, Jianxiong Xiao, Antonio Torralba et al.
Natural Images, Gaussian Mixtures and Dead Leaves
Daniel Zoran, Yair Weiss
Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression
Mohammad Emtiyaz Khan, Shakir Mohamed, Kevin P. Murphy
Selecting Diverse Features via Spectral Regularization
Abhimanyu Das, Anirban Dasgupta, Ravi Kumar
Communication-Efficient Algorithms for Statistical Optimization
Yuchen Zhang, Martin J. Wainwright, John C. Duchi
Query Complexity of Derivative-Free Optimization
Kevin G. Jamieson, Robert Nowak, Ben Recht
Finite Sample Convergence Rates of Zero-Order Stochastic Optimization Methods
Andre Wibisono, Martin J. Wainwright, Michael I. Jordan et al.
Expectation Propagation in Gaussian Process Dynamical Systems
Marc Deisenroth, Shakir Mohamed
Calibrated Elastic Regularization in Matrix Completion
Tingni Sun, Cun-hui Zhang
Risk Aversion in Markov Decision Processes via Near Optimal Chernoff Bounds
Teodor M. Moldovan, Pieter Abbeel
Multilabel Classification using Bayesian Compressed Sensing
Ashish Kapoor, Raajay Viswanathan, Prateek Jain
Waveform Driven Plasticity in BiFeO3 Memristive Devices: Model and Implementation
Christian Mayr, Paul Stärke, Johannes Partzsch et al.
A quasi-Newton proximal splitting method
Stephen Becker, Jalal Fadili
Density Propagation and Improved Bounds on the Partition Function
Stefano Ermon, Ashish Sabharwal, Bart Selman et al.
Bayesian Pedigree Analysis using Measure Factorization
Bonnie Kirkpatrick, Alexandre Bouchard-côté
Random function priors for exchangeable arrays with applications to graphs and relational data
James Lloyd, Peter Orbanz, Zoubin Ghahramani et al.
Learning the Dependency Structure of Latent Factors
Yunlong He, Yanjun Qi, Koray Kavukcuoglu et al.
Transelliptical Component Analysis
Fang Han, Han Liu
Learning curves for multi-task Gaussian process regression
Peter Sollich, Simon Ashton
Online L1-Dictionary Learning with Application to Novel Document Detection
Shiva P. Kasiviswanathan, Huahua Wang, Arindam Banerjee et al.