Determining causal relationships from observations and experiments is fundamental to human reasoning, decision making and the advancement of science. The aim of this workshop is to bring together researchers interested in the challenges of causal structure learning from observational and experimental data especially when latent or confounding variables may be present.

Saturday August 18th: Schedule

8:30-9:00	Coffee
9:00-10:30	Methods for structure learning (I)

		Chair: J. Tian (Iowa State)
		Causal Clustering of Variables with Multiple Latent Causes (Invited Talk) Peter Spirtes (CMU)
		Improving Reliability Estimates for Causal Relations T. Claassen, T. Heskes (Radboud)

10:30-11:00	Coffee
11:00-12:30	Methods for structure learning (II)

		Chair: R. Shachter (Stanford)
		Parameter and Structure Learning in Nested Markov Models I. Shpitser (Harvard), T. S. Richardson (U. Washington), J. M. Robins (Harvard), R. J. Evans (Cambridge)
		Estimating a Causal Order among Groups of Variables in Linear Models D. Entner, P. O. Hoyer (Helsinki)

12:30-2:00

Lunch

2:00-3:30

Local Structure Learning

		Chair: M. Koivisto (Helsinki)
		Local Structure Discovery in Bayesian Networks T. Niinimäki (Helsinki), P. Parviainen (KTH Stockholm)
		Causal Variable Selection Using Equilibrium Relations from Nonlinear Dynamics C. Oates, S. Mukherjee (Nederlands Kanker Instituut)

3:30-4:30

Poster Session (with Coffee)

		Causal Logic Models D. Dash (CMU), M. Voortman (Pittsburgh)
		Causal Discovery of Linear Cyclic Models from Multiple Experimental Data Sets with Overlapping Variables A. Hyttinen (Helsinki), F. Eberhardt (CMU), P. O. Hoyer (Helsinki)
		Combining Stage Algorithm for Discovering Causal Models T. Isozaki (Sony CSL)
		Online Learning of Time-varying Causal Structures E. Kummerfeld, D. Danks (CMU)
		A New Admissible Heuristic for Finding Optimal Bayesian Networks C. Yuan (Queens, CUNY), B. Malone (HIIT and Mississipi State)

4:30-6:00

Biostatistical Methods

		Chair: D. Jensen (UMass Amherst)
		Evaluating Joint Effects of Induction-Salvage Treatment Regimes on Overall Survival in Acute Leukemia A.S. Wahed (Pittsburgh), P. Thall (M.D. Anderson Cancer Center)
		Graphical Marginal Structural Models vs. Direct Effect Structural Nested Models (Invited Talk) J.M. Robins (Harvard)

Organizers

• Thomas Richardson (Chair), University of Washington
  
• Dominik Janzing, MPI for Intelligent Systems, Tuebingen
• Marloes Maathuis, ETH Zurich
• Chris Meek, Microsoft Research
  
• Peter Spirtes, Carnegie-Mellon University
  
• Jin Tian, Iowa State University