Despite attention from both theoreticians and practitioners, there remains a glaring disconnect between the two lines of research, and the other aim of this workshop is to find concrete directions toward bridging this divide. Many of the algorithms with strong statistical guarantees either make strong modeling assumptions or suffer from computational inefficiencies while many algorithms achieving empirical successes are less amenable to theoretical analysis. By bringing both theoreticians and practitioners together, we hope to identify future research directions that address this disconnect.
The workshop will be part of ICML 2015 in Lille, France.
Instructions for contributed submissions are here.
Important Dates
- Deadline for submission of papers: May 1st, 2015
- Notification of acceptance: May 10th, 2015
- Workshop: July 10th, 2015
Invited Speakers
- Steve Hanneke
- Adam Kalai (Microsoft Research)
- Andreas Krause (ETH Zurich)
- John Langford (Microsoft Research)
- Maja Temerinac-Ott (Univ. of Freiburg)
- Jeff Schneider (Carnegie Mellon University)
- Burr Settles (Duolingo, FAWM)
- Akshay Krishnamurthy (Carnegie Mellon University)
- Aaditya Ramdas (Carnegie Mellon University)
- Nina Balcan (Carnegie Mellon University)
- Aarti Singh(Carnegie Mellon University)