SES Admissions Info Session
MIT Building E18, Room 304 Ford Building (E18), 50 Ames Street, Cambridge, MA, United StatesJoin us for pizza and an Admissions Information Session on the Social and Engineering Systems Doctoral Program.
10 events found.
Social Network Experiments – Nicholas Christakis (Yale University)
MIT Building 32, Room 141 The Stata Center (32-141), 32 Vassar Street, Cambridge, MA, United StatesThe Institute of Data, Systems, and Society host monthly talks by academic and industry leaders from around the world for the IDSS Distinguished Lecture series.
Quantum Limits on the Information Carried by Electromagnetic Radiation
MIT Building 32, Room 141 The Stata Center (32-141), 32 Vassar Street, Cambridge, MA, United StatesIn many practical applications information is conveyed by means of electromagnetic radiation and a natural question concerns the fundamental limits of this process. Identifying information with entropy, one can ask about the maximum amount of entropy associated to the propagating wave. The standard statistical physics approach to compute entropy is to take the logarithm of…
SES PhD Admissions Webinar
Wherever you are in the world, learn about admissions to the Social and Engineering Systems Doctoral Program online, from an IDSS faculty member.
Generative Models and Compressed Sensing
MIT Building E18, Room 304 Ford Building (E18), 50 Ames Street, Cambridge, MA, United StatesAbstract:Â The goal of compressed sensing is to estimate a vector from an under-determined system of noisy linear measurements, by making use of prior knowledge in the relevant domain. For most results in the literature, the structure is represented by sparsity in a well-chosen basis. We show how to achieve guarantees similar to standard compressed…
SES PhD Admissions Webinar
Wherever you are in the world, learn about admissions to the Social and Engineering Systems Doctoral Program online, from an IDSS faculty member.
Comparison Lemmas, Non-Smooth Convex Optimization and Structured Signal Recovery
MIT Building 32, Room 141 The Stata Center (32-141), 32 Vassar Street, Cambridge, MA, United StatesIn the past couple of decades, non-smooth convex optimization has emerged as a powerful tool for the recovery of structured signals (sparse, low rank, finite constellation, etc.) from possibly noisy measurements in a variety applications in statistics, signal processing and machine learning. While the algorithms (basis pursuit, LASSO, etc.) are often fairly well established, rigorous…
Challenges in Developing Learning Algorithms to Personalize Treatment in Real Time
MIT Building E18, Room 304 Ford Building (E18), 50 Ames Street, Cambridge, MA, United StatesAbstract: A formidable challenge in designing sequential treatments is to  determine when and in which context it is best to deliver treatments. Consider treatment for individuals struggling with chronic health conditions. Operationally designing the sequential treatments involves the construction of decision rules that input current context of an individual and output a recommended treatment.  That…
Regularized Nonlinear Acceleration
MIT Building 32, Room 141 The Stata Center (32-141), 32 Vassar Street, Cambridge, MA, United StatesWe describe a convergence acceleration technique for generic optimization problems. Our scheme computes estimates of the optimum from a nonlinear average of the iterates produced by any optimization method. The weights in this average are computed via a simple linear system, whose solution can be updated online. This acceleration scheme runs in parallel to the…
SES PhD Admissions Webinar
Wherever you are in the world, learn about admissions to the Social and Engineering Systems Doctoral Program online, from an IDSS faculty member.