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Poster
Tue 7:00 Full Law Identification in Graphical Models of Missing Data: Completeness Results
Razieh Nabi · Rohit Bhattacharya · Ilya Shpitser
Poster
Tue 7:00 Characterizing Distribution Equivalence and Structure Learning for Cyclic and Acyclic Directed Graphs
AmirEmad Ghassami · Alan Yang · Negar Kiyavash · Kun Zhang
Poster
Tue 8:00 Efficient Identification in Linear Structural Causal Models with Auxiliary Cutsets
Daniel Kumor · Carlos Cinelli · Elias Bareinboim
Poster
Tue 9:00 LazyIter: A Fast Algorithm for Counting Markov Equivalent DAGs and Designing Experiments
Ali Teshnizi · Saber Salehkaleybar · Negar Kiyavash
Poster
Tue 9:00 Learning and Sampling of Atomic Interventions from Observations
Arnab Bhattacharyya · Sutanu Gayen · Saravanan Kandasamy · Ashwin Maran · Vinodchandran N. Variyam
Poster
Tue 10:00 Influence Diagram Bandits: Variational Thompson Sampling for Structured Bandit Problems
Tong Yu · Branislav Kveton · Zheng Wen · Ruiyi Zhang · Ole J. Mengshoel
Poster
Tue 11:00 Causal Structure Discovery from Distributions Arising from Mixtures of DAGs
Basil Saeed · Snigdha Panigrahi · Caroline Uhler
Poster
Tue 12:00 Learning the piece-wise constant graph structure of a varying Ising model
Batiste Le Bars · Pierre Humbert · Argyris Kalogeratos · Nicolas Vayatis
Poster
Tue 18:00 Learning to Learn Kernels with Variational Random Features
Xiantong Zhen · Haoliang Sun · Yingjun Du · Jun Xu · Yilong Yin · Ling Shao · Cees Snoek
Poster
Wed 5:00 Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods
Dan Fu · Mayee Chen · Frederic Sala · Sarah Hooper · Kayvon Fatahalian · Christopher Re
Poster
Wed 5:00 Privately Learning Markov Random Fields
Huanyu Zhang · Gautam Kamath · Janardhan Kulkarni · Steven Wu
Poster
Wed 8:00 Undirected Graphical Models as Approximate Posteriors
Arash Vahdat · Evgeny Andriyash · William Macready