Papers
FastInf: An Efficient Approximate Inference Library
Ariel Jaimovich, Ofer Meshi, Ian McGraw et al.
Estimation of a Structural Vector Autoregression Model Using Non-Gaussianity
Aapo Hyvärinen, Kun Zhang, Shohei Shimizu et al.
Consensus-Based Distributed Support Vector Machines
Pedro A. Forero, Alfonso Cano, Georgios B. Giannakis
Introduction to Causal Inference
Peter Spirtes
On the Foundations of Noise-free Selective Classification
Ran El-Yaniv, Yair Wiener
MOA: Massive Online Analysis
Albert Bifet, Geoff Holmes, Richard Kirkby et al.
Near-optimal Regret Bounds for Reinforcement Learning
Thomas Jaksch, Ronald Ortner, Peter Auer
Hilbert Space Embeddings and Metrics on Probability Measures
Bharath K. Sriperumbudur, Arthur Gretton, Kenji Fukumizu et al.
Quadratic Programming Feature Selection
Irene Rodriguez-Lujan, Ramon Huerta, Charles Elkan et al.
Training and Testing Low-degree Polynomial Data Mappings via Linear SVM
Yin-Wen Chang, Cho-Jui Hsieh, Kai-Wei Chang et al.
Characterization, Stability and Convergence of Hierarchical Clustering Methods
Gunnar Carlsson, Facundo Mémoli
Consistent Nonparametric Tests of Independence
Arthur Gretton, László Györfi
Learning Translation Invariant Kernels for Classification
Kamaledin Ghiasi-Shirazi, Reza Safabakhsh, Mostafa Shamsi
Unsupervised Supervised Learning I: Estimating Classification and Regression Errors without Labels
Pinar Donmez, Guy Lebanon, Krishnakumar Balasubramanian
Learning From Crowds
Vikas C. Raykar, Shipeng Yu, Linda H. Zhao et al.
Approximate Inference on Planar Graphs using Loop Calculus and Belief Propagation
Vicenç Gómez, Hilbert J. Kappen, Michael Chertkov
Graph Kernels
S.V.N. Vishwanathan, Nicol N. Schraudolph, Risi Kondor et al.
A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning
Jin Yu, S.V.N. Vishwanathan, Simon Günter et al.
SFO: A Toolbox for Submodular Function Optimization
Andreas Krause
Continuous Time Bayesian Network Reasoning and Learning Engine
Christian R. Shelton, Yu Fan, William Lam et al.
Large Scale Online Learning of Image Similarity Through Ranking
Gal Chechik, Varun Sharma, Uri Shalit et al.
Message-passing for Graph-structured Linear Programs: Proximal Methods and Rounding Schemes
Pradeep Ravikumar, Alekh Agarwal, Martin J. Wainwright
Kronecker Graphs: An Approach to Modeling Networks
Jure Leskovec, Deepayan Chakrabarti, Jon Kleinberg et al.