Join the Institute of Industrial and Systems Engineers (IISE) for their first Lunch With Faculty of the year with Professor Pirutinsky. Food will be provided, and spots are limited. This is a great opportunity for current undergraduate students to learn more about their IEOR professors. There are only a limited number of seats available, and…

Meet with recruiters and learn more about different STEM employment opportunities

Talk Title: When Is Partially Observable Reinforcement Learning Not Scary? Abstract: Partially observability is ubiquitous in applications of Reinforcement Learning (RL), in which agents learn to make a sequence of decisions despite lacking complete information about the latent states of the controlled system. Partially observable RL is notoriously difficult in theory---well-known information-theoretic results show that…

Open to UC Berkeley students and alumni seeking full-time/internship opportunities in business and public service

This is an informal recruiting event. The talk is open to all graduate students and faculty. Details of the talk and Dr. Jacobs's bio can be found below. Operations Research and Analytics at AmazonBy Timothy L. Jacobs, PhD, PEDirector of Research Science, Amazon Abstract: Amazon’s middle mile ground and air transportation network represents one of…

Talk Title: Machine Learning for Power Systems: Is It Time To Trust It? Abstract: In this talk, we introduce methods that remove the barrier for applying neural networks in real-life power systems and unlock a series of new applications. More specifically, we introduce a framework that addresses five key challenges (dataset generation, data pre-processing, neural…

Calling all AI and Machine Learning enthusiasts! The Berkeley Haas School of Business proudly presents to you AI Summit 2022, brought by the Haas Data Science Club. 📣 All are welcome, but tickets are limited, so be quick to reserve your spot here: www.berkeleyhaasaisummit.com/. This year’s theme is “AI Everywhere - The Democratization of AI”…

Registration is required to attend For a finite set X, a family F of subsets of X is said to be increasing if any set A that contains B in F is also in F. The p-biased product measure of F increases as p increases from 0 to 1, and often exhibits a drastic phase…

Talk Title: Optimizing Tail Risks With Limited Samples: Can Algorithms Engineer Effective Reductions in Variance & Model-bias? Abstract: The ability to learn and control tail risks, besides being an integral part of quantitative risk management, is central to running operations requiring high service levels and cyber-physical systems with high-reliability specifications. Despite this significance, scalable algorithmic…

Abstract: Many decision-making settings exhibit a trade-off between obtaining extra information to improve the outcome of the process and the cost of obtaining such information. The Pandora’s box problem of Weitzman (1979) is a classical model formalizing this trade-off. The algorithm is presented with a number of boxes containing unknown (stochastic) rewards, and it can…

IEOR Seminars occur on Mondays throughout the fall semester in room 3108 of Etcheverry Hall. Seminars feature leading-edge research from experts in industrial engineering and operations research who come from local, national, and international institutions. Seminars are open to students, faculty, and the public. Title: Bridging Ethical Algorithms, Law, and Practice: Hiring and Beyond Abstract:…

IEOR seminars occur on Mondays throughout the fall semester in room 3108 of Etcheverry Hall. Seminars feature leading-edge research from experts in industrial engineering and operations research who come from local, national, and international institutions. Seminars are open to students, faculty, and the public. Talk Title: A Nonparametric Framework for Online Stochastic Matching with Correlated…

Talk Title: Semi-discrete Optimal Transport: Hardness, Regularization and Numerical Solution Speaker: Soroosh Shafieezadeh Abadeh Meeting Link: https://gatech.zoom.us/j/99381428980 Abstract: Semi-discrete optimal transport problems, which evaluate the Wasserstein distance between a discrete and a generic (possibly non-discrete) probability measure, are believed to be computationally hard. Even though such problems are ubiquitous in statistics, machine learning and computer vision,…

Micron Technology is a world leader in innovative memory solutions that transform how the world uses information. For over 40 years, Micron has been instrumental to the world's most significant technology advancements, delivering optimal memory and storage systems for a broad range of applications. Join representatives from Micron's global procurement team on Thursday, November 3 in Mudd…

In IEOR, we invent, analyze and learn tools and approaches for design, analysis, risk management, and decision-making in complex real-world systems like supply-chains, energy systems, healthcare systems, and financial systems. Join us from the comfort of your own home this Saturday, November 5 from 10am to 11am to hear from Berkeley IEOR Professors, along with…

The Master of Analytics (MAnalytics) program at UC Berkeley’s Industrial Engineering and Operations Research Department will be present at the California Forum for Diversity in Graduate Education. The California Forum for Diversity in Graduate Education, planned by a consortium of public and private colleges and universities from throughout California, have been designed particularly to meet…