Workshop on Algorithmic Challenges in Machine Learning
January 7-9, 2015
University of California, San Diego
With the ubiquity of big data, there has been a rise in interest in machine learning and data-based applications. This workshop aims to bring together theoretical computer scientists interested in machine learning with theoretically-inclined machine learning researchers to discuss challenges and opportunities at the intersection of these two fields. The workshop will cover a variety of topics such as spectral learning, online learning, bandits, sparsity, and unsupervised methods. Talks will consist of both survey talks and more specialized technical talks. We will also have allocated time for collaboration and informal discussions.
Venue: Atkinson hall, Calit2
Parking: Hopkins parking structure ($8/day)
Confirmed speakers include:
- Nina Balcan, Carnegie Mellon University
- Peter Bartlett, Berkeley
- Avrim Blum, Carnegie Mellon University
- Ofer Dekel, Micorsoft Research - Redmond
- Moritz Hardt, IBM Research - Almaden
- Daniel Hsu, Columbia
- Piotr Indyk, MIT
- Zohar Karnin, Yahoo Research
- Ankur Moitra, MIT
- Yuval Peres, Micorsoft Research - Redmond
- Greg Valiant, Stanford
- Manfred Warmuth, UC Santa Cruz
We have discounted rates with the following hotels:
The La Jolla shores hotel. The hotel is on the La Jolla beach, and there will be a shuttle to/from UCSD. The rate is $139/night (plus tax), as long as rooms are available. For reservations, please call (877) 346-6714 and give the group code "algorithmic challenges in machine learning".
The Sheraton La Jolla hotel. The hotel is within walking distance from the workshop (20 mins). The rate is $139/night (plus tax), as long as rooms are available. For reservations, please call (858) 453-5500 and give the group code "algorithmic challenges in machine learning".
Registration is free. Please register in advance, so that we can arrange accordingly. Lunch will be provided for registered participants.
For further details, please contact Kamalika Chaudhuri or Shachar Lovett.