2 citations · 5 across the 3 of their papers we have counts for
4 papers
RIDGECUT: Learning Graph Partitioning with Rings and Wedges
Qize Jiang, Angelo Zangari, Linsey Pang +7
Reinforcement learning (RL) has shown promise for combinatorial optimization problems on graphs by learning heuristics that generalize across instances. However, effectively incorp…
SAC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic
Safa Messaoud, Billel Mokeddem, Zhenghai Xue +4
Learning expressive stochastic policies instead of deterministic ones has been proposed to achieve better stability, sample complexity, and robustness. Notably, in Maximum Entropy…
Probabilistic Outlier Detection and Generation
Stefano Giovanni Rizzo, Linsey Pang, Yixian Chen +1
A new method for outlier detection and generation is introduced by lifting data into the space of probability distributions which are not analytically expressible, but from which s…
Integer Programming Relaxations for Integrated Clustering and Outlier Detection
Lionel Ott, Linsey Pang, Fabio Ramos +2
In this paper we present methods for exemplar based clustering with outlier selection based on the facility location formulation. Given a distance function and the number of outlie…