mraginsky + computer-science 35
[1101.0833] Dynamical systems, simulation, abstract computation
january 2011 by mraginsky
""We survey an area of recent development, relating dynamics to theoretical computer science. We discuss the theoretical limits of simulation and computation of interesting quantities in dynamical systems. We will focus on central objects of the theory of dynamics, as invariant measures and invariant sets, showing that even if they can be computed with arbitrary precision in many interesting cases, there exists some cases in which they can not. We also explain how it is possible to compute the speed of convergence of ergodic averages (when the system is known exactly) and how this entails the computation of arbitrarily good approximations of points of the space having typical statistical behaviour (a sort of constructive version of the pointwise ergodic theorem).""
papers
to-read
ergodic-theory
dynamical-systems
complexity
computer-science
algorithms
simulation
january 2011 by mraginsky
Subexponential Lower Bound for Randomized Pivot Rules! | Combinatorics and more
november 2010 by mraginsky
"Oliver Friedman, Thomas Dueholm Hansen, and Uri Zwick have managed to prove subexponential lower bounds of the form for ... two basic randomized pivot rules for the simplex algorithm! This is the first result of its kind and deciding if this is possible was an open problem for several decades." And they do it using MDPs!
papers
to-read
computer-science
computation
optimization
linear-programming
dynamic-programming
Markov-decision-processes
lower-bounds
november 2010 by mraginsky
DIVA2: Search: Herbert Simon
april 2010 by mraginsky
The Herbert Simon collection at the CMU library
papers
reference
economics
organizations
causality
AI
complexity
complex-systems
computer-science
april 2010 by mraginsky
Computational Aspects of Evolution
january 2010 by mraginsky
A course taught by Christos Papadimitriou
evolution
complexity
computation
computer-science
optimization
lecture-notes
algorithms
january 2010 by mraginsky
Statistical Science
december 2009 by mraginsky
Issue on Interface of Probability and Algorithms
papers
to-read
statistics
probability
optimization
algorithms
computer-science
complexity
december 2009 by mraginsky
Moser’s entropy compression argument
august 2009 by mraginsky
Terry Tao explains the recent paper by Robin Moser.
probability
information-theory
complexity
computer-science
mathematics
computation
august 2009 by mraginsky
The Church-Turing Thesis: Breaking the Myth | Lambda the Ultimate
july 2009 by mraginsky
"This paper seeks to explode the myth that Turing Machines (TM) are the universal model for all computation."
papers
blogs
to-read
complexity
computer-science
interesting
july 2009 by mraginsky
Moser’s Method of Bounding a Program Loop « Gödel’s Lost Letter and P=NP
june 2009 by mraginsky
"The main point is this: an information theory bound yields an upper bound on the running time of a computational process."
information-theory
computer-science
complexity
interesting
june 2009 by mraginsky
Machine Learning (Theory) » Computability in Artificial Intelligence
may 2009 by mraginsky
"Let me show by analogy why limiting research to computational questions is bad for any field. Except in computer science, computational aspects play little role in the development of fundamental theories: Consider e.g. set theory with axiom of choice, foundations of logic, exact/full minimax for zero-sum games, quantum (field) theory, string theory, … Indeed, at least in physics, every new fundamental theory seems to be less computable than previous ones."
blogs
have-read
science
complexity
computer-science
computation
philosophy
epistemology
AI
learning-theory
may 2009 by mraginsky
Tutorial schedule
november 2007 by mraginsky
FOCS 2008 tutorials (Terry Tao on randomness in combinatorics; Dan Boneh on crypto; Dan Spielman on graph spectra)
lecture-notes
crypto
computer-science
mathematics
november 2007 by mraginsky
15-859S: Analysis of Boolean Functions
august 2007 by mraginsky
Lecture notes by Ryan O'Donnell (CMU)
complexity
computer-science
lecture-notes
mathematics
machine-learning
august 2007 by mraginsky
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