Avrim Blum's survey talks and survey papers:
- New Directions in Learning
Theory, invited talk at SODA (ACM-SIAM Symposium on
Discrete Algorithms), 2015.
- Approximation Stability and
Proxy Objectives [pdf], Stanford
Workshop on Beyond Worst-Case Analysis, 2011. See also:
- Semi-Supervised Learning, USC
Distinguished Lecture Series, 2008.
A related paper on a
new theoretical framework for Semi-Supervised Learning (with Nina Balcan).
- Thoughts on Learning and
Clustering, Cornell CS Colloquium, Jan 2007. A more detailed version given at
Yahoo! Research, 2008. See also:
- On decision-making
without regret, routing games, and convergence to
Learning, Regret Minimization, and
Equilibria, book chapter in Algorithmic Game
Theory, with Yishay Mansour.
- Simple randomized algorithms for
auction and pricing problems (given at the DIMACS
workshop in honor of Joel Spencer's 60th birthday).
- New Horizons in Machine
Learning, given at the Workshop on New Horizons in
Computing, Kyoto, 2005.
- A survey article on the use of random
projection for learning, with connections to kernel functions
and feature selection. LNCS vol 3940, pp. 52--68, 2006.
(Based on an invited presentation at a PASCAL workshop, 2005)
- Tutorial on Machine
Learning Theory given
at FOCS 2003.
given at the 2003 National Academy of Sciences "Frontiers of
- A short essay on Machine Learning Theory.
- Online learning / metrical task systems / portfolio selection
- Online exploration
Udine lecture. These are
slides from a lecture at the 1998 School and Workshop on
Online Algorithms, Udine, Italy. Many of the slides for
that talk were hand-drawn, so this is only a sketch.
- References for
AAAI-97 workshop talk on Online Search in Theoretical
- General machine learning