Events

Nov14

Scientific Computing and Matrix Computations Seminar: Estimating a manifold from noisy samples

380 Soda Hall
  • Yariv Aizenbud, Tel Aviv Univ.
Estimating a manifold from (possibly noisy) samples appears to be a difficult problem. Indeed, even after decades of research, all manifold learning methods do not actually "learn" the manifold, but rather try to embed it into a low-dimensional Euclidean space. This process inevitably introduces distortions and cannot guarantee a robust estimate of the manifold. In this talk, we will discuss a...
Nov14

Scientific Computing and Matrix Computations Seminar: Estimating a manifold from noisy samples

380 Soda Hall
  • Yariv Aizenbud, Tel Aviv Univ.
Estimating a manifold from (possibly noisy) samples appears to be a difficult problem. Indeed, even after decades of research, all manifold learning methods do not actually "learn" the manifold, but rather try to embed it into a low-dimensional Euclidean space. This process inevitably introduces distortions and cannot guarantee a robust estimate of the manifold. In this talk, we will discuss a...
Nov14

Unimodular uniformization and random walks

1011 Evans Hall
  • James R. Lee, University of Washington
Consider deforming the path metric of a unimodular random graph by a (unimodular) reweighting of its vertices. In many instances, a well-chosen change of metric can be used to study the spectral measure, estimate the heat kernel, and bound the speed of the random walk. Even for extensively studied models like random planar maps (e.g., the uniform infinite planar triangulation) and critical...
Nov14
Logistic regression is one of the most popular methods in binary classification, wherein estimation of model parameters is carried out by solving the maximum likelihood (ML) optimization problem, and the ML estimator is defined to be the optimal solution of this problem. It is well known that the ML estimator exists when the data is non-separable, but fails to exist when the data is separable....
Nov14

Berkeley ACM A.M. Turing Laureate Lecture: Game Theory in Auction and Blockchain with Andrew Yao

Banatao Auditorium Sutardja Dai Hall
  • Andrew Chi-Chih Yao, Tsinghua Univeristy, Beijing
Game theory has provided a mathematical framework for addressing issues in many domains, including economics and distributed computing systems. In recent years the rise of novel commercial infrastructure, such as electronic auction (for on-line ads) and blockchain, has led to many new interdisciplinary studies involving algorithmic games. In this talk we discuss some recent work from this...
Nov14

VIDEO GAME Playtest!

241 Cory Hall
The Nuclear Science and Security Consortium (NSSC) and the Project on Nuclear Gaming (PoNG) invite you to playtest a game called Signal, developed in partnership between UC Berkeley students and scientists from both Sandia and Lawrence Livermore National Laboratories. Signal will be playtested in both a VIDEO GAME and BOARD GAME format. This game will be used as part of a research effort toward...
Nov14

Evening with Industry

Berkeley City Club
Join Berkeley SWE and various large engineering firms at Evening with Industry for an evening of networking and fine dining at Berkeley City Club on Wednesday, November 14! This year, SWE is inviting representatives from Google, Intel, IBM, AT&T, P&G, Dropbox, General Motors, KLA Tencor, Danaher, Accenture Labs, PWC, AECOM, Intuitive Surgical, STRIVR, and ZS Associates. If you’re currently...
Nov16

Jacobs Design Conversations: Elizabeth Churchill

310 Jacobs Hall
Elizabeth Churchill, Director of User Experience at Google, will give a talk on Empowering Creators: Research & Material Design at Jacobs Hall.
Nov16

Solid State Technology and Devices Seminar: Silicon Carbide Micro-/Nanosystems for Harsh Environment Applications

521 Hogan Room Cory Hall
  • Roya Maboudian, UC Berkeley Department of Chemical & Biomolecular Engineering
Silicon has been the dominant semiconducting material in micro-/nanosystems technologies. However, the material and surface properties of silicon impose limitations on its use in applications involving harsh environment (such as high temperature, high radiation and corrosive conditions). Silicon carbide (SiC), a wide bandgap semiconductor, is emerging as a material to address the limitations of...
Nov16

Metabolite-based Diagnostics Enabled by MEMS Devices: Nano Seminar Series

390 Hearst Memorial Mining Building
  • Prof. Cristina Davis, UC Davis, Mechanical & Aerospace Engineering
A wide range of both volatile organic compounds (VOCs) and non-volatile metabolites are generated by almost all biological systems, and are now thought to represent end products associated with organism physiology and metabolism. This applies to many different types of systems ranging from humans, bacteria, trees, and plants. In humans, several thousand metabolic chemical compounds have been...