740 citations · 3.4k across the 125 of their papers we have counts for
8 papers · 1 filter
Discrete Adversarial Attacks and Submodular Optimization with Applications to Text Classification
Qi Lei, Lingfei Wu, Pin-Yu Chen +3
Adversarial examples are carefully constructed modifications to an input that completely change the output of a classifier but are imperceptible to humans. Despite these successful…
Adversarial Video Compression Guided by Soft Edge Detection
Sungsoo Kim, Jin Soo Park, Christos G. Bampis +4
We propose a video compression framework using conditional Generative Adversarial Networks (GANs). We rely on two encoders: one that deploys a standard video codec and another whic…
Experimental Design for Cost-Aware Learning of Causal Graphs
Erik M. Lindgren, Murat Kocaoglu, Alexandros G. Dimakis +1
We consider the minimum cost intervention design problem: Given the essential graph of a causal graph and a cost to intervene on a variable, identify the set of interventions with…
Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models
Shanshan Wu, Sujay Sanghavi, Alexandros G. Dimakis
We characterize the effectiveness of a classical algorithm for recovering the Markov graph of a general discrete pairwise graphical model from i.i.d. samples. The algorithm is (app…
Applications of Common Entropy for Causal Inference
Murat Kocaoglu, Sanjay Shakkottai, Alexandros G. Dimakis +2
We study the problem of discovering the simplest latent variable that can make two observed discrete variables conditionally independent. The minimum entropy required for such a la…
Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling
Shanshan Wu, Alexandros G. Dimakis, Sujay Sanghavi +5
Linear encoding of sparse vectors is widely popular, but is commonly data-independent -- missing any possible extra (but a priori unknown) structure beyond sparsity. In this paper…