Systems | Information | Learning | Optimization
 

Kevin: Query Complexity of Derivative-Free Optimization || Pari: Covariance Sketching

Kevin: This work provides lower bounds on the convergence rate of Derivative Free Optimization (DFO) with noisy function evaluations, exposing a fundamental and unavoidable gap between the performance of algorithms with access to gradients and those with access to only function evaluations. However, there are situations in which DFO is …

Group Symmetry and Covariance Regularization | Incredible Machines: Body, Brain and Robot.

*** Pari’s talk: Title: Group Symmetry and Covariance Regularization Statistical models that possess symmetry arise in diverse settings such as random fields associated to geophysical phenomena, exchangeable processes in Bayesian statistics, and cyclostationary processes in engineering. We formalize the notion of a symmetric model via group invariance. We propose projection …