All sessions are in Hilton Meeting Room Sutcliffe B. Poster presenters are encouraged to put up their posters as early as possible for discussion during the breaks.

• [7:30am] Overview of the Machine Learning and Systems Research Area
  Sumit Basu, Archana Ganapathi, Emre Kiciman, and Fei Sha

• [8:15 am] Invited Talk: Learning and Systems: The Good, the Bad, and the Ugly…
  Moises Goldszmidt, Microsoft Research

• [8:45am] Invited Talk: Blind Source Separation in Network Tomography
  Irina Rish, IBM Research

• [9:15am] Coffee break

• [9:30am] Poster Spotlights

• [10:30am] Adjourn

• [3:30pm] Invited Talk: Structure from Failure: Inferring Functional Network Dependencies from Observed Failure Data
  Thore Graepel, Microsoft Research

• [4:00pm] Invited Talk: Open Problems in Performance Diagnosis for Distributed File Systems
  Alice Zheng, Carnegie Mellon University

• [4:30pm] Poster Session

• [6:30pm] Adjourn

• [7:30am] Panel: Building Blocks, Tools, and Datasets for MLSys Problems
  Workshop Organizers and Guests

• [8:30am] Brainstorming: Short and Long Term Visions for MLSys
  Workshop Participants (in small groups)

• [9:30am] Coffee Break

• [9:45am] Presentation of Brainstorming Results
  Workshop Participants

• [10:30am] Adjourn

• [3:30pm] Invited Talk: Inferring Bugs in Systems Code with Graphical Models and Static Program Analysis
  Ted Kremenek, Stanford University

• [4:00pm] Invited Talk: Beyond 'grep': Learning from Event Logs
  Ira Cohen, HP Labs

• [4:30pm] Coffee Break

• [4:45pm] Panel: Open Problems and Challenges in MLSys
  Workshop Organizers and Guests

• [5:45pm] Wrap-Up and Compilation of an MLSys Reading List
  Workshop Participants

• [6:30pm] Adjourn