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A Dirty Model for Multiple Sparse Regression
Terms—Multi-task Learning High-dimensional Statistics
2011/7/7
Sparse linear regression -- finding an unknown vector from linear measurements -- is now known to be possible with fewer samples than variables, via methods like the LASSO. We consider the multiple sp...
RNA structure characterization from chemical mapping experiments
RNA structure characterization chemical mapping experiments
2011/7/7
Despite great interest in solving RNA secondary structures due to their impact on function, it remains an open problem to determine structure from sequence. Among experimental approaches, a promising ...
Efficient Online Learning via Randomized Rounding
Efficient Online Learning Randomized Rounding
2011/7/6
Most online algorithms used in machine learning today are based on variants of mirror descent or follow-the-leader.
Efficient Optimal Learning for Contextual Bandits
Efficient Optimal Learning Contextual Bandits
2011/7/6
We address the problem of learning in an online setting where the learner repeatedly observes features, selects among a set of actions, and receives reward for the action taken.
Life time of correlation between stocks prices on established and emerging markets
Life time of correlation correlation coefficient price history stocks
2011/6/21
The correlation coefficient between stocks depends on price history and
includes information on hierarchical structure in financial markets. It is
useful for portfolio selection and estimation of ri...
Hierarchical structure in phonographic market
Life time of correlation correlation coefficient phonographic market
2011/6/21
I find a topological arrangement of assets traded in a phonographic market
which has associated a meaningful economic taxonomy. I continue using
the Minimal Spanning Tree and the Life-time Of Correl...
A Finite-Time Analysis of Multi-armed Bandits Problems with Kullback-Leibler Divergences
Finite-Time Multi-armed Bandits Problems Kullback-Leibler Divergences
2011/6/20
We consider a Kullback-Leibler-based algorithmfor the stochastic multi-armed bandit prob-
lem in the case of distributions with finite supports (not necessarily known beforehand),
whose asymptotic r...
Posterior Consistency of Nonparametric Conditional Moment Restricted Models
identified region limited information likelihood sieve approximation nonparametric instrumental variable ill-posed problem partial identification Bayesian inference
2011/6/20
This paper addresses the estimation of the nonparametric conditional moment
restricted model that involves an infinite dimensional parameter g0. We
estimate it in a quasi-Bayesian way based on the l...
PAC-Bayesian Analysis of the Exploration-Exploitation Trade-off
coherent framework PAC-Bayesian Analysis Exploration-Exploitation Trade-off
2011/6/21
We develop a coherent framework for integrative
simultaneous analysis of the explorationexploitation
and model order selection tradeoffs.
We improve over our preceding results
on the same subject ...
Consistency of maximum-likelihood and variational estimators in the Stochastic Block Model
maximum-likelihood Stochastic Block Model
2011/6/17
The stochastic block model (SBM) is a probabilistic model de-
signed to describe heterogeneous directed and undirected graphs. In this
paper, we address the asymptotic inference on SBM by use of max...
Optimum allocation in multivariate stratified random sampling: Stochastic matrix optimisation
Multivariate stratified random sampling modified E-model stochastic programming optimum allocation integer programming E-model V -model P-model
2011/6/17
The allocation problem for multivariate stratified random sampling as a problem of
stochastic matrix integer mathematical programming is considered. With these aims
the asymptotic normality of sampl...
Baby Morse Theory in Data Analysis
Topology Morse theory persistence inference signal detection
2011/6/17
A methodology is proposed for inferring the topology underlying point cloud
data. The approach employs basic elements of Morse Theory, and is capable
of producing not only a point estimate of variou...
PAC-Bayesian Analysis of Martingales and Multiarmed Bandits
PAC-Bayesian Analysis Martingales Multiarmed Bandits
2011/6/21
We present two alternative ways to apply PAC-Bayesian analysis to sequences of dependent
random variables. The first is based on a new lemma that enables to bound expectations
of convex functions of...
Optimal Multistage Sampling in a Boundary-Crossing Problem
Asymptotic Brownian motion Group sequential Multistage Optimality
2011/6/17
Brownian motion with known positive drift is sampled in stages until
it crosses a positive boundary a. A family of multistage samplers that con-
trol the expected overshoot over the boundary by vary...
Discussion of: A statistical analysis of multiple temperature proxies: Are reconstructions of surface temperatures over the last 1000 years reliable?
reconstructions of surface temperatures statistical analysis paleoclimate reconstructions
2011/6/16
As McShane and Wyner (2011) observe, there are formidable statistical
problems in “reconstructing” past temperatures from networks of so-called
“proxy” data with weak “signal” and complicated autoco...