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Poster
Thu 9:00 A Novel Approach for Constrained Optimization in Graphical Models
Sara Rouhani · Tahrima Rahman · Vibhav Gogate
Poster
Thu 9:00 Probabilistic Circuits for Variational Inference in Discrete Graphical Models
Andy Shih · Stefano Ermon
Poster
Thu 9:00 PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks
Minh Vu · My T. Thai
Spotlight
Thu 19:00 Learning Some Popular Gaussian Graphical Models without Condition Number Bounds
Jonathan Kelner · Frederic Koehler · Raghu Meka · Ankur Moitra
Poster
Thu 21:00 Learning Some Popular Gaussian Graphical Models without Condition Number Bounds
Jonathan Kelner · Frederic Koehler · Raghu Meka · Ankur Moitra
Poster
Thu 9:00 Efficient Learning of Discrete Graphical Models
Marc Vuffray · Sidhant Misra · Andrey Lokhov
Poster
Wed 9:00 The Diversified Ensemble Neural Network
Shaofeng Zhang · Meng Liu · Junchi Yan
Poster
Thu 21:00 Nonconvex Sparse Graph Learning under Laplacian Constrained Graphical Model
Jiaxi Ying · José Vinícius de Miranda Cardoso · Daniel Palomar
Poster
Thu 9:00 Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models
Adarsh Keshav Jeewajee · Leslie Kaelbling
Poster
Wed 9:00 Learning of Discrete Graphical Models with Neural Networks
Abhijith Jayakumar · Andrey Lokhov · Sidhant Misra · Marc Vuffray
Poster
Tue 21:00 Domain Adaptation as a Problem of Inference on Graphical Models
Kun Zhang · Mingming Gong · Petar Stojanov · Biwei Huang · QINGSONG LIU · Clark Glymour
Poster
Thu 9:00 Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose tracking
Anqi Wu · Estefany Kelly Buchanan · Matthew Whiteway · Michael Schartner · Guido Meijer · Jean-Paul Noel · Erica Rodriguez · Claire Everett · Amy Norovich · Evan Schaffer · Neeli Mishra · C. Daniel Salzman · Dora Angelaki · Andrés Bendesky · The International Brain Laboratory The International Brain Laboratory · John Cunningham · Liam Paninski