Previous Conferences & Workshops

We have proposed that the glass transition is one example of a broader class of jamming transitions, where systems can develop extremely long stress relaxation times in disordered states as temperature is lowered, an applied shear stress is lowered...

The Glauber dynamics is a simple Markov chain algorithm for sampling from distributions that arise in models from statistical physics. In each step of this dynamics the value (or spin) of a random site is updated according to some rule which is...

The problem of average-case learning for decision trees is as follows: a decision tree T (over Boolean features x1,...,xn) is chosen at random from some natural distribution over decision trees. The learner is given access to uniform random examples...

In joint work with J. Viaclovsky, we studied the problem of prescribing symmetric functions of the eigenvalues of the Schouten tensor for a conformal metric on a compact manifold (often referred to as the "Sigma-k Yamabe problem"). This is...

The universal example for proper actions plus (equivariant) Kasparov K-homology can be used to state the general case of BC.

A (one-dimensional) translation invariant point process of bounded variability is one in which the variance of the number of particles in any interval is bounded, uniformly in the length of the interval. This represents a strong suppression of...

A SpinC-manifold is a C\infty manifold with a given structure which is slightly stronger than an orientation. A Spin C manifold has a Dirac operator. This is a first order elliptic differential operator. The (equivariant) indices of these Dirac...

The Glauber dynamics is a simple Markov chain algorithm for sampling from distributions that arise in models from statistical physics. In each step of this dynamics the value (or spin) of a random site is updated according to some rule which is...