29 citations · 144 across the 30 of their papers we have counts for
4 papers · 1 filter
TriMap: Large-scale Dimensionality Reduction Using Triplets
Ehsan Amid, Manfred K. Warmuth
We introduce "TriMap"; a dimensionality reduction technique based on triplet constraints, which preserves the global structure of the data better than the other commonly used metho…
An Implicit Form of Krasulina's k-PCA Update without the Orthonormality Constraint
Ehsan Amid, Manfred K. Warmuth
We shed new insights on the two commonly used updates for the online -PCA problem, namely, Krasulina's and Oja's updates. We show that Krasulina's update corresponds to a projec…
Robust Bi-Tempered Logistic Loss Based on Bregman Divergences
Ehsan Amid, Manfred K. Warmuth, Rohan Anil +1
We introduce a temperature into the exponential function and replace the softmax output layer of neural nets by a high temperature generalization. Similarly, the logarithm in the l…
Divergence-Based Motivation for Online EM and Combining Hidden Variable Models
Ehsan Amid, Manfred K. Warmuth
Expectation-Maximization (EM) is a prominent approach for parameter estimation of hidden (aka latent) variable models. Given the full batch of data, EM forms an upper-bound of the…