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Theory

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Papers

How biased are maximum entropy models? NIPS 2011
Bounds on Individual Risk for Log-loss Predictors COLT 2011
A Close Look to Margin Complexity and Related Parameters COLT 2011
Fractionally Predictive Spiking Neurons NIPS 2010
Pairwise Measures of Causal Direction in Linear Non-Gaussian Acyclic Models ACML 2010
Towards Property-Based Classification of Clustering Paradigms NIPS 2010
Universal Kernels on Non-Standard Input Spaces NIPS 2010
Basis Construction from Power Series Expansions of Value Functions NIPS 2010
Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference NIPS 2010
Two-Layer Generalization Analysis for Ranking Using Rademacher Average NIPS 2010
Lifted Inference Seen from the Other Side : The Tractable Features NIPS 2010
Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models NIPS 2010
An analysis on negative curvature induced by singularity in multi-layer neural-network learning NIPS 2010
LSTD with Random Projections NIPS 2010
Permutation Complexity Bound on Out-Sample Error NIPS 2010
Spectral Regularization for Support Estimation NIPS 2010
Exact inference and learning for cumulative distribution functions on loopy graphs NIPS 2010
Worst-case bounds on the quality of max-product fixed-points NIPS 2010
On the relation between universality, characteristic kernels and RKHS embedding of measures AISTATS 2010
Polynomial-Time Exact Inference in NP-Hard Binary MRFs via Reweighted Perfect Matching AISTATS 2010
Convexity of Proper Composite Binary Losses AISTATS 2010
Nonlinear functional regression: a functional RKHS approach AISTATS 2010
Error Propagation for Approximate Policy and Value Iteration NIPS 2010
A Reduction from Apprenticeship Learning to Classification NIPS 2010
Random Projection Trees Revisited NIPS 2010