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Theory

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Papers

Finite Sample Convergence Rates of Zero-Order Stochastic Optimization Methods NIPS 2012
The representer theorem for Hilbert spaces: a necessary and sufficient condition NIPS 2012
Controlling Selection Bias in Causal Inference AISTATS 2012
Minimax hypothesis testing for curve registration AISTATS 2012
Exchangeability Characterizes Optimality of Sequential Normalized Maximum Likelihood and Bayesian Prediction with Jeffreys Prior AISTATS 2012
Stochastic Bandit Based on Empirical Moments AISTATS 2012
Regression for sets of polynomial equations AISTATS 2012
Complexity of Bethe Approximation AISTATS 2012
Testing for Membership to the IFRA and the NBU Classes of Distributions AISTATS 2012
(weak) Calibration is Computationally Hard COLT 2012
L1 Covering Numbers for Uniformly Bounded Convex Functions COLT 2012
Attribute-Efficient Learning andWeight-Degree Tradeoffs for Polynomial Threshold Functions COLT 2012
Computational Bounds on Statistical Query Learning COLT 2012
Kernels Based Tests with Non-asymptotic Bootstrap Approaches for Two-sample Problems COLT 2012
Toward Understanding Complex Spaces: Graph Laplacians on Manifolds with Singularities and Boundaries COLT 2012
Open Problem: Does AdaBoost Always Cycle? COLT 2012
Structured Sparsity and Generalization JMLR 2012
Algebraic Geometric Comparison of Probability Distributions JMLR 2012
Stability of Density-Based Clustering JMLR 2012
A Geometric Approach to Sample Compression JMLR 2012
Fast Approximation of Matrix Coherence and Statistical Leverage JMLR 2012
Spectral Methods for Learning Multivariate Latent Tree Structure NIPS 2011
Composite Multiclass Losses NIPS 2011
Scalable Training of Mixture Models via Coresets NIPS 2011
Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression NIPS 2011