828 citations · 5.6k across the 171 of their papers we have counts for
11 papers · 1 filter
Statistical Learning under Nonstationary Mixing Processes
Steve Hanneke, Liu Yang
We study a special case of the problem of statistical learning without the i.i.d. assumption. Specifically, we suppose a learning method is presented with a sequence of data points…
Semi-supervised Question Retrieval with Gated Convolutions
Tao Lei, Hrishikesh Joshi, Regina Barzilay +4
Question answering forums are rapidly growing in size with no effective automated ability to refer to and reuse answers already available for previous posted questions. In this pap…
From random walks to distances on unweighted graphs
Tatsunori B. Hashimoto, Yi Sun, Tommi S. Jaakkola
Large unweighted directed graphs are commonly used to capture relations between entities. A fundamental problem in the analysis of such networks is to properly define the similarit…
Modeling Persistent Trends in Distributions
Jonas Mueller, Tommi Jaakkola, David Gifford
We present a nonparametric framework to model a short sequence of probability distributions that vary both due to underlying effects of sequential progression and confounding noise…
Principal Differences Analysis: Interpretable Characterization of Differences between Distributions
Jonas Mueller, Tommi Jaakkola
We introduce principal differences analysis (PDA) for analyzing differences between high-dimensional distributions. The method operates by finding the projection that maximizes the…
Word, graph and manifold embedding from Markov processes
Tatsunori B. Hashimoto, David Alvarez-Melis, Tommi S. Jaakkola
Continuous vector representations of words and objects appear to carry surprisingly rich semantic content. In this paper, we advance both the conceptual and theoretical understandi…