169 citations · 183 across the 4 of their papers we have counts for
5 papers
Rethinking Least-Core Computation in Contextual-Distractor Games
Hiroshi Kera, Toshinori Yamauchi, Sai Ganesh Nagarajan
Game-theoretic attribution explains a model by assigning credit to its features or training examples. The least core has attracted interest as an alternative to Shapley-style avera…
S-CFE: Simple Counterfactual Explanations
Shpresim Sadiku, Moritz Wagner, Sai Ganesh Nagarajan +1
We study the problem of finding optimal sparse, manifold-aligned counterfactual explanations for classifiers. Canonically, this can be formulated as an optimization problem with mu…
The Complexity of Two-Team Polymatrix Games with Independent Adversaries
Alexandros Hollender, Gilbert Maystre, Sai Ganesh Nagarajan
Adversarial multiplayer games are an important object of study in multiagent learning. In particular, polymatrix zero-sum games are a multiplayer setting where Nash equilibria are…
Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes
Qi Lei, Sai Ganesh Nagarajan, Ioannis Panageas +1
In a recent series of papers it has been established that variants of Gradient Descent/Ascent and Mirror Descent exhibit last iterate convergence in convex-concave zero-sum games.…
Distributed Anomaly Detection using Autoencoder Neural Networks in WSN for IoT
Tie Luo, Sai G. Nagarajan
Wireless sensor networks (WSN) are fundamental to the Internet of Things (IoT) by bridging the gap between the physical and the cyber worlds. Anomaly detection is a critical task i…