February 14, 2017
Daniel Russo (Northwestern Kellogg School of Management)
An information-theoretic perspective on the exploration/exploitation tradeoff
Modern online marketplaces feed themselves: they rely on historical data to optimize content and user-interactions, but it’s the data generated from these interactions...
February 21, 2017
John Birge (University of Chicago)
In monopoly pricing situations, firms should optimally vary prices to learn demand. The variation must be sufficiently high to ensure complete learning. In competitive situations, however, varying prices provides information to competitors and may...
February 28, 2017
Duncan Callaway (University of California, Berkeley)
In this talk I'll discuss a variety of theory, simulation and experimental work aimed at understanding how distributed energy resources (DERs; such as batteries, flexible loads and photovoltaic generators) impact distribution networks and how these...
March 28, 2017
Anders Rantzer (Lund University)
Classical control theory does not scale well for large systems like traffic networks, power networks and chemical reaction networks. However, in this lecture we will present a class of networked control problems for which scalable distributed...
April 4, 2017
Henry Pfister (Duke University)
Recently, sequences of error-correcting codes with doubly-transitive permutation groups were shown to achieve capacity on erasure channels under symbol-wise maximum a posteriori (MAP) decoding. From this, it follows that Reed-Muller and primitive...
April 6, 2017
Nikolai Matni (California Institute of Technology)
April 11, 2017
Pramod Viswanath (University of Illinois Urbana-Champaign)
Real-valued word vectors have transformed NLP applications; popular examples are word2vec and GloVe, recognized for their ability to capture linguistic regularities via simple geometrical operations. In this talk, we demonstrate further striking...
April 13, 2017
Ram Rajagopal (Stanford University)
April 19, 2017
Andrea Montanari (Stanford University)
May 16, 2017
Dimitri Bertsekas (Massachusetts Institute of Technology)
We consider discrete-time infinite horizon deterministic optimal control problems with nonnegative cost, and a destination that is cost-free and absorbing. The classical linear-quadratic regulator problem is a special case. The analysis aims to...