103549
BLISS Seminar: Data-driven methods for sparse network estimation
2016-10-24
15:00:00
16:00:00
3
4 p.m.
Cory Hall
On Campus
400
32
Seminar
Primary
1793
Other Related Seminars
Secondary
This talk will explore the graphical LASSO and the associated SDP relaxation, deriving some simple conditions under which computational complexity can be managed. It will also introduce a circuit model that can be used as a platform for testing different statistical procedures.
BLISS Seminar: Data-driven methods for sparse network estimation
http://wifo.eecs.berkeley.edu/Seminar/fa16/somayeh.html
Somayeh Sojoudi
Berkeley
Electrical Engineering and Computer Sciences (EECS)
Happening As Scheduled
101338
Seminar 217, Risk Management: Machines Learning Justice: A New Approach to the Problems of Inconsistency and Bias in Adjudication
2016-10-25
11:00:00
13:00:00
11 a.m.
1 p.m.
Evans Hall
On Campus
639
32
Seminar
Primary
1793
Other Related Seminars
Secondary
Abstract: We offer a two-step algorithmic approach to the problems of inconsistency and bias in legal decision making. First, we propose a new tool for reducing inconsistency: Judgmental Bootstrapping Models (“JBMs”) built with machine learning methods.
Ryan Copus and Hannah Laqueur
Speaker - Featured
UC Berkeley
Center for Risk Management Research
Happening As Scheduled
103607
On tree-pruning and prune-invariances in random binary rooted trees
2016-10-26
15:10:00
16:00:00
3:10
4 p.m.
Evans Hall
On Campus
1011
32
Seminar
Primary
776
Probability Seminar
Secondary
The tree self-similarities based on Horton ordering and Tokunaga indexing were recently established for a variety of stochastic processes including the Kingman coalescent trees, level set trees for space-homogeneous stochastic processes, and iid time series. They were conjectured for the trees generated by the multiplicative and additive coalescent processes, and a number of other stochastic...
Yevgeniy Kovchegov
Oregon State University
Statistics, Department of
Happening As Scheduled
101995
Robust covariance matrix estimation
2016-10-26
16:00:00
17:00:00
4
5 p.m.
Evans Hall
On Campus
1011
32
Seminar
Primary
773
Neyman Seminar
Secondary
Abstract: I am going to give the motivation by discussing a simple location estimation problem under Huber’s contamination model. I will argue that Huber’s contamination model is a much better framework for robust statistics than Hampel’s breakdown point. Under Huber’s framework, Tukey’s location estimator is shown to be superior than the naive coordinate median. For the robust covariance matrix...
Chao Gao
Department of Statistics, University of Chicago
Statistics, Department of
Happening As Scheduled
103551
BLISS Seminar: Distributed Statistical Inference with Compressed Data
2016-10-31
15:00:00
16:00:00
3
4 p.m.
Cory Hall
On Campus
400
32
Seminar
Primary
1793
Other Related Seminars
Secondary
We consider the distributed estimation problem when compressed data is exchanged between computers. Our study reveals precise trade-offs between compressibility and rates of statistical estimation.
BLISS Seminar: Distributed Statistical Inference with Compressed Data
http://wifo.eecs.berkeley.edu/Seminar/fa16/lai.html
Lifeng Lai
UC Davis
Electrical Engineering and Computer Sciences (EECS)
Happening As Scheduled
101330
Seminar 217, Risk Management:
2016-11-01
11:00:00
13:00:00
11 a.m.
1 p.m.
Evans Hall
On Campus
639
32
Seminar
Primary
1793
Other Related Seminars
Secondary
Danny Ebanks
Speaker - Featured
UC Berkeley
Center for Risk Management Research
Happening As Scheduled
101950
Berkeley-Stanford Joint Colloquium at Stanford
2016-11-01
16:00:00
17:00:00
4
5 p.m.
Evans Hall
On Campus
1011
32
Seminar
Primary
1256
Berkeley-Stanford Joint Colloquium at Stanford
Secondary
Berkeley-Stanford Joint Colloquium at Stanford
http://statistics.berkeley.edu/~binyu
Aditya Guntuboyina
Speaker
Assistant Professor
Department of Statistics, U Berkeley
Statistics, Department of
Happening As Scheduled
102771
A Zoo of Precisely Constructed and Putatively `Random` Infinite Sequences
2016-11-02
15:10:00
16:00:00
3:10
4 p.m.
Evans Hall
On Campus
1011
32
Seminar
Primary
776
Probability Seminar
Secondary
Historically there has been a paucity of explicitly constructive methods to produce, and
particularly to delineate, broad classes of `certifiably random` infinite sequences, despite
longstanding interest in this endeavor. We address this topic via the study of (binary) normal
numbers, which have often been viewed as reasonable proxies for randomness, given their limiting
equidistribution of...
Steve Pincus
Guilford, CT
Statistics, Department of
Happening As Scheduled
103349
Bayesian Image Analysis in Fourier Space, with Applications in Medical Imaging
2016-11-03
16:00:00
17:00:00
4
5 p.m.
Evans Hall
On Campus
1011
32
Seminar
Primary
777
Statistics and Genomics Seminar
Secondary
Bayesian image analysis provides a solution for improving image quality relative to deterministic methods such as linear filtering, by balancing a priori expectations of image characteristics with a model for the noise process. However, conventional Bayesian image analysis models, defined in the space of the image itself, are not as frequently used in practice as they could be. The reason for the...
Bayesian Image Analysis in Fourier Space, with Applications in Medical Imaging
http://www.stat.berkeley.edu/~sandrine/Teaching/PH295.F16/
Professor John Kornak
Department of Epidemiology and Biostatistics, UC San Francisco
Statistics, Department of
Happening As Scheduled
101331
Seminar 217, Risk Management: Portfolio selection: Capital at risk minimization under correlation constraint
2016-11-08
11:00:00
13:00:00
11 a.m.
1 p.m.
Evans Hall
On Campus
639
32
Seminar
Primary
1793
Other Related Seminars
Secondary
Abstract: We studied the portfolio optimization problem in the Black-Scholes setup, subject to certain constraints. Capital at risk (CaR) has turned out to resolve many of the shortcomings of the Value at risk, hence is taken in this presentation as the objective of the optimization problem.
Seminar 217, Risk Management: Portfolio selection: Capital at risk minimization under correlation constraint
http://www.tandfonline.com/doi/abs/10.1080/14697688.2015.1115891
Speaker: Farzad Pourbabaee
Speaker - Featured
UC Berkeley
Center for Risk Management Research
Happening As Scheduled
103610
Computational microscopy for phase retrieval
2016-11-09
16:00:00
17:00:00
4
5 p.m.
Evans Hall
On Campus
1011
32
Seminar
Primary
773
Neyman Seminar
Secondary
Computational imaging is the joint design of imaging system hardware and software, optimizing across the entire pipeline from acquisition to reconstruction. This talk will describe computational imaging methods for fast capture and reconstruction of Gigapixel-scale phase reconstructions. We use coded illumination and large-scale nonlinear non-convex optimization procedures to solve large-scale...
Laura Waller
Berkeley EECS
Statistics, Department of
Happening As Scheduled
103931
Statistics and Genomics Seminar
2016-11-10
16:00:00
17:00:00
4
5 p.m.
Evans Hall
On Campus
1011
32
Seminar
Primary
777
Statistics and Genomics Seminar
Secondary
Statistics and Genomics Seminar
http://www.stat.berkeley.edu/~sandrine/Teaching/PH295.F16/
Dr. Rachel Wang
Department of Statistics, Stanford University
Statistics, Department of
Happening As Scheduled
101332
Seminar 217, Risk Management: Big Data Analytics and ‘Non-Financial’ Sustainability Information—uses of and initial findings from TruValue Labs’ first years
2016-11-15
11:00:00
13:00:00
11 a.m.
1 p.m.
Evans Hall
On Campus
639
32
Seminar
Primary
1793
Other Related Seminars
Secondary
Abstract: We present an overview of the current state of ESG (environmental, social and corporate governance) data in the context of the value of so-called non-financial information. TruValue Labs generates real-time ESG/sustainability data using natural language processing, machine learning and elements of AI to quantify unstructured (text) information sources.
Speaker: Jim Hawley & Hendrik Bartel
Speaker - Featured
TruValue Labs
Center for Risk Management Research
Happening As Scheduled
103612
Spherical Factor Analysis for Binary Data: A Look at the Conservative Revolt in the US House of Representatives
2016-11-16
16:00:00
17:00:00
4
5 p.m.
Evans Hall
On Campus
1011
32
Seminar
Primary
773
Neyman Seminar
Secondary
Factors models for binary data are extremely common in many social science disciplines. For example, in political science binary factor models are often used to explain voting patterns in deliberative bodies such as the US Congress, leading to an “ideological” ranking of legislators. Binary factor models can be motivated through so-call “spatial” voting models, which posit that legislators have a...
Abel Rodriguez
University of California, Santa Cruz
Statistics, Department of
Happening As Scheduled
102153
Statistics and Genomics Seminar
2016-11-17
16:00:00
17:00:00
4
5 p.m.
Evans Hall
On Campus
1011
32
Seminar
Primary
777
Statistics and Genomics Seminar
Secondary
Statistics and Genomics Seminar
http://www.stat.berkeley.edu/~sandrine/Teaching/PH295.F16/
Professor Noah Zaitlen
Department of Medicine, UC San Francisco
Statistics, Department of
Happening As Scheduled
101333
Seminar 217, Risk Management:
2016-11-29
11:00:00
13:00:00
11 a.m.
1 p.m.
Evans Hall
On Campus
639
32
Seminar
Primary
1793
Other Related Seminars
Secondary
Speaker:TBD
Speaker - Featured
UC Berkeley
Center for Risk Management Research
Happening As Scheduled