Abstract Format: Electronic submissions are solicited. Please consult the following servers:
For submission of APPROX papers: http://www.easychair.org/conferences/?conf=approx11
For submission of RANDOM papers: http://www.easychair.org/conferences/?conf=random11
Note: You will be asked to login using an EasyChair account. Directions on how to register for such an account are available at the submission servers (you may also have an old account from a previous conference submission).
The submission must be received by 17:00pm (PDT) of April 15 for your submission to be considered.
Abstract Format: Authors should submit an extended abstract (not a full paper). An abstract should start with the title of the paper, each author's name, affiliation, and e-mail address, followed by a one-paragraph summary of the results to be presented.
This should then be followed by a technical exposition of the main ideas and techniques used to achieve these results including motivation and a clear comparison with related work.
The abstract should not exceed 10 single-spaced pages on letter-size paper, using reasonable margins and at least 11-point font (not including the references). If the authors believe that more details are essential to substantiate the main claims of the paper, they may include a clearly marked appendix that will be read at the discretion of the program committee.
Simultaneous submission to other conferences with published proceedings is not allowed.
Papers are solicited in all research areas related to randomization and approximation, including, but not limited to:
- design and analysis of approximation algorithms
- hardness of approximation
- small space, sub-linear time, and streaming algorithms
- embeddings and metric space methods
- mathematical programming methods
- combinatorial problems in graphs and networks
- game theory, markets, and economic applications
- geometric problems
- packing, covering, and scheduling
- approximate learning
- other applications
- design and analysis of randomized algorithms
- randomized complexity theory
- pseudorandomness and derandomi-zation
- random combinatorial structures
- random walks/Markov chains
- expander graphs and randomness extractors
- probabilistic proof systems
- random projections and embeddings
- error-correcting codes
- average-case analysis
- property testing
- computational learning theory