
Dimension Free Generalization Bounds for Non Linear Metric Learning
In this work we study generalization guarantees for the metric learning ...
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Topic Modeling via Full Dependence Mixtures
We consider the topic modeling problem for large datasets. For this prob...
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Variance Estimation For Online Regression via Spectrum Thresholding
We consider the online linear regression problem, where the predictor ve...
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Multi Instance Learning For Unbalanced Data
In the context of Multi Instance Learning, we analyze the Single Instanc...
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OnLine Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters
Kalman filter is a key tool for timeseries forecasting and analysis. We...
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Interdependent Gibbs Samplers
Gibbs sampling, as a model learning method, is known to produce the most...
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Clustering Time Series and the Surprising Robustness of HMMs
Suppose that we are given a time series where consecutive samples are be...
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Overlapping Communities Detection via Measure Space Embedding
We present a new algorithm for community detection. The algorithm uses r...
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Mark Kozdoba
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