Papers
Understanding variable importances in forests of randomized trees
Gilles Louppe, Louis Wehenkel, Antonio Sutera et al.
Regret based Robust Solutions for Uncertain Markov Decision Processes
Asrar Ahmed, Pradeep Varakantham, Yossiri Adulyasak et al.
Policy Shaping: Integrating Human Feedback with Reinforcement Learning
Shane Griffith, Kaushik Subramanian, Jonathan Scholz et al.
Minimax Optimal Algorithms for Unconstrained Linear Optimization
Brendan McMahan, Jacob Abernethy
Projected Natural Actor-Critic
Philip S. Thomas, William C Dabney, Stephen Giguere et al.
Learning a Deep Compact Image Representation for Visual Tracking
Naiyan Wang, Dit-Yan Yeung
Reconciling "priors" & "priors" without prejudice?
Remi Gribonval, Pierre Machart
Generalized Method-of-Moments for Rank Aggregation
Hossein Azari Soufiani, William Chen, David C. Parkes et al.
Learning word embeddings efficiently with noise-contrastive estimation
Andriy Mnih, Koray Kavukcuoglu
Structured Learning via Logistic Regression
Justin Domke
A Determinantal Point Process Latent Variable Model for Inhibition in Neural Spiking Data
Jasper Snoek, Richard Zemel, Ryan P. Adams
Learning Stochastic Feedforward Neural Networks
Charlie Tang, Ruslan Salakhutdinov
Information-theoretic lower bounds for distributed statistical estimation with communication constraints
Yuchen Zhang, John Duchi, Michael I Jordan et al.
When in Doubt, SWAP: High-Dimensional Sparse Recovery from Correlated Measurements
Divyanshu Vats, Richard Baraniuk
Locally Adaptive Bayesian Multivariate Time Series
Daniele Durante, Bruno Scarpa, David B Dunson
Memoized Online Variational Inference for Dirichlet Process Mixture Models
Michael C Hughes, Erik Sudderth
Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies
Yangqing Jia, Joshua T. Abbott, Joseph L Austerweil et al.
Rapid Distance-Based Outlier Detection via Sampling
Mahito Sugiyama, Karsten Borgwardt
Recurrent networks of coupled Winner-Take-All oscillators for solving constraint satisfaction problems
Hesham Mostafa, Lorenz. K Mueller, Giacomo Indiveri
Bayesian inference as iterated random functions with applications to sequential inference in graphical models
Arash Amini, Xuanlong Nguyen
Cluster Trees on Manifolds
Sivaraman Balakrishnan, Srivatsan Narayanan, Alessandro Rinaldo et al.
Scoring Workers in Crowdsourcing: How Many Control Questions are Enough?
Qiang Liu, Alex Ihler, Mark Steyvers