First provide a summary of the paper, and then address the following criteria: Quality, clarity, originality and significance. This paper proposes a method to recover signals from compressive measurements. The method consists of jointly estimating the signal and a Gaussian Mixture Model (GMM) capable of representing it succinctly. The main contribution of the paper is the idea of imposing a sparse structure on the GMM adapted to the case when the signal of interest corresponds to image patches. This is further exploited by a more structured prior that promotes an appropriate group-sparsity pattern (essentially interactions between adjoining pixels are not penalized by the sparsity-inducing penalty).

First provide a summary of the paper, and then address the following criteria: Quality, clarity, originality and significance. Q2: Please summarize your review in 1-2 sentences very nice, could become new standard, provided some guidance on choosing b is provided, and demonstration that performance is robust to this choice of b, and accuracy is not so much worse than cross-validation. First provide a summary of the paper, and then address the following criteria: Quality, clarity, originality and significance. The authors propose a novel bias-corrected estimator of covariance matrices for autocorrelated data. They provide simulated data as well as a real-world data set on brain-computer interfacing to demonstrate the superior performance of their estimator in comparison to a standard-, a shrinkage-, and the Sancetta estimator.

This paper investigates evaluation of learned multiagent strategies given noisy game outcomes.

These algorithms are typically employed in settings where the number of players and the type of interaction (competitive, cooperative, etc.) are both

First provide a summary of the paper, and then address the following criteria: Quality, clarity, originality and significance. The paper introduces a theoretical framework which combines both dynamic and correlated topic models. The proposed approach is based on a latent factor model. The authors provide an interesting discussion on admixture models (traditional topic models) versus factor models. One of the main advantages of the chosen approach is the ability to model both positive topic usage and negative topic usage.

First provide a summary of the paper, and then address the following criteria: Quality, clarity, originality and significance. This paper considers the estimation of an unknown vector v0 from noisy quadratic observations and some additional information regarding v0. Specifically, it considers that the unknown vector v0 is from a convex cone. It rigorously shows that the resulting optimization problem is tractable. Note that the resulting optimization problem in Eq.(3) is non-convex.

First provide a summary of the paper, and then address the following criteria: Quality, clarity, originality and significance.

First provide a summary of the paper, and then address the following criteria: Quality, clarity, originality and significance. The paper introduces a GP-Vol model to flexibly capture the time-dependent changes in variance, and develops a new online algorithm for fully Bayesian inference under the model. The paper is clearly written, the developed inference method seems technically sound, and the presented results look promising. My opinion on the model itself, using a non-parametric approach such as using the GP prior on the transition function (as in the paper), seems, though, a bit an obvious way of extending the prior work developed in the finance area. So, I wouldn't put too high grade on the paper in terms of its originality.

Search (PNS), are effective in playing and solving games. However, the understanding of their performance in industrial applications is still limited.