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Robust mean estimation is the following basic estimation question: given i.i.d. copies of a random vector X in d-dimensional Euclidean space of which a small constant fraction are corrupted, how well…

Animal behavior depends both on the intrinsic properties of individual neurons and how these neurons connect to and modulate one another. A major focus of modern neuroscience is to dissect behavior…

In the 'frequent items' problem one sees a sequence of items in a stream (e.g. a stream of words coming into a search query engine likeGoogle) and wants to report a small list of items…

This talk focuses on network design algorithms for optimizing average consensus dynamics, dynamics that are widely used for information diffusion and distributed coordination in networked control…

In this talk, I first discuss our recent work on modeling, decoding, and controlling multisite human brain activity underlying mood states. I present a multiscale dynamical modeling framework that…

Michael Stryker's laboratory studies the development and plasticity of the central visual system. Most of his laboratory's effort focuses on the role of neural activity in the primary…

Karen Rommelfanger: No longer unthinkable: Neuroethics questions for the 21st century neuroscientist Ranu Jung: The Bioethics of Implantable Biohybrid Systems Aaron Batista: Neuroethics and the…

(This is Part 2, continuation of Tuesday's lecture.)A fundamental tool used in sampling, counting, and inference problems is the Markov Chain Monte Carlo method, which uses random walks to solve…

A fundamental tool used in sampling, counting, and inference problems is the Markov Chain Monte Carlo method, which uses random walks to solve computational problems. The main parameter defining the…

In this talk we consider random utility models for discrete choice. In discrete choice, the task is to select exactly one element from a discrete set of alternatives. We focus on algorithmic…

Optimizing neural networks is a highly nonconvex problem, and even optimizing a 2-layer neural network can be challenging. In the recent years many different approaches were proposed to learn 2-layer…

While human research has emphasized the large-scale network disruptions in the epilepsies and their co-morbidities, basic science has typically focused on local networks. In rodents, more general…

In partial function extension, we are given a partial function consisting of points from a domain and a function value at each point.Our objective is to determine if this partial function can be…

A humor-filled one-man show by Javier Avila that embraces the autobiographical journey of a man who moves between cultures to provide a fascinating perspective of American Latinos who struggle to…

There is an extraordinary amount of variation in social behavior within and across species. However, when phenotypic convergence in behavior (e.g., sociality) is observed, it begs the question as to…

The Matrix Spencer Conjecture asks whether given n symmetric matrices in ℝn×n with eigenvalues in [−1,1] one can always find signs so that their signed sum has singular values bounded by…