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Theory

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Papers

A Consistent Information Criterion for Support Vector Machines in Diverging Model Spaces JMLR 2016
Exploration of the (Non-)Asymptotic Bias and Variance of Stochastic Gradient Langevin Dynamics JMLR 2016
On Lower and Upper Bounds in Smooth and Strongly Convex Optimization JMLR 2016
L1-Regularized Least Squares for Support Recovery of High Dimensional Single Index Models with Gaussian Designs JMLR 2016
Fast methods for estimating the Numerical rank of large matrices ICML 2016
Algorithms and matching lower bounds for approximately-convex optimization NIPS 2016
Privacy Odometers and Filters: Pay-as-you-Go Composition NIPS 2016
Local Minimax Complexity of Stochastic Convex Optimization NIPS 2016
Fairness in Learning: Classic and Contextual Bandits NIPS 2016
The Asymptotic Performance of Linear Echo State Neural Networks JMLR 2016
Early Stopping as Nonparametric Variational Inference AISTATS 2016
A Column Generation Bound Minimization Approach with PAC-Bayesian Generalization Guarantees AISTATS 2016
A posteriori error bounds for joint matrix decomposition problems NIPS 2016
The Power of Adaptivity in Identifying Statistical Alternatives NIPS 2016
Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Results and Algorithmic Consequences NIPS 2016
Learning from Rational Behavior: Predicting Solutions to Unknown Linear Programs NIPS 2016
Online ICA: Understanding Global Dynamics of Nonconvex Optimization via Diffusion Processes NIPS 2016
On Searching for Generalized Instrumental Variables AISTATS 2016
Unsupervised Risk Estimation Using Only Conditional Independence Structure NIPS 2016
Fast Rate Analysis of Some Stochastic Optimization Algorithms ICML 2016
Exact Exponent in Optimal Rates for Crowdsourcing ICML 2016
Provably manipulation-resistant reputation systems COLT 2016
When can we rank well from comparisons of O(n\log(n)) non-actively chosen pairs? COLT 2016
Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing JMLR 2016
ERRATA: On the Estimation of the Gradient Lines of a Density and the Consistency of the Mean-Shift Algorithm JMLR 2016