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Monday, August 28, 2017

Bin Yu — Three principles of data science: predictability, stability, and computability

Seminar: Distinguished Lecture Series | August 28 | 3:30-5 p.m. | 3108 Etcheverry Hall


Bin Yu, Professor, UC Berkeley Departments of Statistics and EECS

Industrial Engineering & Operations Research


In this talk, I'd like to discuss the intertwining importance and connections of three principles of data science in the title in data-driven decisions. Making prediction as its central task and embracing computation as its core, machine learning has enabled wide-ranging data-driven successes. Prediction is a useful way to check with reality. Good prediction implicitly assumes stability between...   More >

Monday, September 11, 2017

Yong Zeng — NSF Funding Opportunities Related to Data Science

Seminar: Distinguished Lecture Series | September 11 | 3:30-5 p.m. | 3108 Etcheverry Hall


Yong Zeng, National Science Foundation

Industrial Engineering & Operations Research


This presentation will provide an overview of the funding opportunities related to data science in National Science Foundation. The funding opportunities will include those in the directorates of Computer & Information Science & Engineering (CISE), Engineering (ENG), and Mathematical and Physical Sciences (MPS), and the focus will be those supported by Division of Mathematical Sciences (DMS) in MPS.

Monday, September 18, 2017

Matteo Basei - The coordination of centralised and distributed generation

Seminar | September 18 | 3:30-5 p.m. | 3108 Etcheverry Hall


Matteo Basei, UC Berkeley

Industrial Engineering & Operations Research


Abstract. This paper analyses the interaction between centralised carbon-emissive technologies and distributed intermittent non-emissive technologies. In our model, there is a representative consumer who can satisfy her electricity demand by investing in distributed generation (solar panels) and by buying power from a centralised firm at a price the firm sets. Distributed generation is...   More >

Monday, September 25, 2017

Adam Elmachtoub - The value of opaque products

Seminar: Distinguished Lecture Series | September 25 | 3:30-5 p.m. | 3108 Etcheverry Hall


Adam Elmachtoub, Columbia University

Industrial Engineering & Operations Research


Abstract: A product is said to be opaque if one or more of its attributes are not revealed until after the product has been sold. Opaque products have historically been used in the travel industry where airline and hotel brands might be hidden to the customer, in exchange for a discount. More recently, online retailers have also used opaque products, where customers can sacrifice their choice of...   More >

Monday, October 2, 2017

Nick Sahinidis — ALAMO: Machine learning from data and first principles

Seminar: Distinguished Lecture Series | October 2 | 3:30-5 p.m. | 3108 Etcheverry Hall


Nick Sahinidis, Carnegie Mellon University

Industrial Engineering & Operations Research


We have developed the ALAMO methodology with the aim of producing a tool capable of using data to learn algebraic models that are accurate and as simple as possible. ALAMO relies on (a) integer nonlinear optimization to build low-complexity models from input-output data, (b) derivative-free optimization to collect additional data points
that can be used to improve tentative models, and (c)...   More >