First provide a summary of the paper, and then address the following criteria: Quality, clarity, originality and significance. The authors describe a two novel inference methods for the correlated topic model (CTM). They build on analytic results for the conditional logistic normal likelihood to arrive at a fast, easily parallelized exact inference. This leads to an approximate sampling method for producing Polya-Gamma variates. Finally, they propose a method for efficiently drawing samples in the presence of sparsity.

First provide a summary of the paper, and then address the following criteria: Quality, clarity, originality and significance. The authors propose sequential and active formulations for low rank matrix completion including a formulation where the underlying matrix/tensor is known to be noisy. The resultant formulations have strong performance bounds with regard to the number of entries that need to be polled as a function of the matrix rank. Theorem 3 is in my opinion a main contribution and it was good to see it was experimentally verified. The lower bound for uniform sampling given in theorem 4 is also useful, but it appears you did not experimentally verify how close your work is to this lower bound.

First provide a summary of the paper, and then address the following criteria: Quality, clarity, originality and significance. Summary: the authors developed a novel method specifically to address an increasingly important problem in neuroscience and cell biology more generally: extract cell bodies from noisy images. The images demonstrate fruitful results, and the quantitative results demonstrate useful performance, although not at the level of a human expert. It would have been nice to see a quantitative comparison between this method and any other previously proposed method. Clarity: i found the paper to be clear.

First provide a summary of the paper, and then address the following criteria: Quality, clarity, originality and significance. The authors study a variant of ratio cut with R clusters where the balancing function is biased towards partitions where each cluster has the same size. The main contribution of the paper is a continuous formulation and an algorithm to optimize the criterion directly, whereas previous algorithms are mostly limited to recursive splitting. The direct solution of multi-cut problems instead of using recursive splitting is an important problem given the new developments in finding balanced graph cuts [3,4,5,11,12,18]. The authors first describe the discrete problem (P) and then derive a relaxation of the problem (P-rlx).

"NIPS 2013 Neural Information Processing Systems December 5 - 10, Lake Tahoe, Nevada, USA",,, "Paper ID:","1046" "Title:","Convergence of Monte Carlo Tree Search in Simultaneous Move Games" Reviews First provide a summary of the paper, and then address the following criteria: Quality, clarity, originality and significance. This paper studies Monte Carlo tree search in zero-sum extensive form games with perfect information and simultaneous moves. It is proved that the MCTS algorithm converges to an approximate Nash equilibrium under certain conditions. Empirical study confirms the formal result. The detailed comments are as follows. The result is useful and the presentation is clear.

Language system dynamics is studied at several distinct time scales (Lewis, 2014).

First provide a summary of the paper, and then address the following criteria: Quality, clarity, originality and significance. This paper considers transfer learning in a multi-armed bandit setting. The model considered has a sequence of episodes, and in each episode, the vector of distributions (one for each arm) is drawn iid from a discrete distribution. In this setting, it is possible to exploit history to learn what this discrete distribution is, and to use this information to reduce regret in each episode. An algorithm is proposed that does this, and cumulative regret bounds are shown for this algorithm.

First provide a summary of the paper, and then address the following criteria: Quality, clarity, originality and significance. The paper proposes a method for relating images and sentences by optimizing over the mapping of sentence fragments and image regions. The method uses existing word vector and image region representations. Experiments show that this method is better able to rank human-generated image captions. Quality The paper is high quality, and well-supported by empirical results.

First provide a summary of the paper, and then address the following criteria: Quality, clarity, originality and significance. Message Passing Inference for Large Scale Graphical Models with High Order Potentials The paper follows up on recent work on parallelizing message passing algorithms. The main contribution is dealing with higher order potentials. The main insight is that if large potentials are unary the message they send out is constant. By adding auxiliary factors this can be exploited (Fig 2 gives an example).

However, knowing which data to present during different stages of training is a challenging problem.