Neuroscience: A Control Theory and Network Science Perspective Read more about BU CISE: Sérgio Pequito

Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy

Optimization and Design in the Presence of Internal Noise (Part 1) A Framework for Adaptive Learning and Personalized Treatments in EdX (Part 2)

Independent sets, local algorithms and random regular graphs

Progress report of 'Calibration with Multiplicative Means but Additive Errors: A Log Normal Approach'

Privacy Preservation Methods for Genetic and Location Data Read more about ToTsTiPs: Eran Toch

Learning and Mining in Large-Scale Time Series Data Read more about SEAS CS: Yan Liu

Transport Methods and Universality for beta-matrix model Read more about CMSA Talk: Florent Bekerman

Seeking Effective Adjustments for Effective Areas Read more about AstroStatTalk: Xiao-Li Meng

The Contextual Bandits Problem: A Fast, Simple, and Optimal Algorithm Read more about BigData: Roert Schapire

Generalized R-squared for Detecting Non-independence

Limit theorems for weighted non-linear transformations of Gaussian processes with singular spectrum Read more about BUStatPrSem: Nikolai N. Leonenko

Calibration Concordance

Statistical and Computational Guarantees for EM-like Algorithms Read more about StochStatMIT: Martin Wainwright