Calendar of Events
S Sun
M Mon
T Tue
W Wed
T Thu
F Fri
S Sat
0 events,
1 event,
UC Berkeley Spring Tech Networking Event
UC Berkeley Spring Tech Networking Event
You are invited to attend a special UC Berkeley Tech Networking Event on Tuesday, February 7 from 2-4pm in the MLK Student Union on the UC Berkeley campus. Employers: This is a great opportunity to mingle with talented UC Berkeley graduate students seeking internships and full-time careers in areas such as: data science, user experience design, user experience…
0 events,
0 events,
0 events,
0 events,
0 events,
0 events,
0 events,
0 events,
3 events,
IEOR Seminar: Vasilis Charisopoulos, Cornell University
IEOR Seminar: Vasilis Charisopoulos, Cornell University
Talk Title: A superlinearly convergent first-order method for nonsmooth optimization Abstract: Nonsmooth optimization problems appear throughout machine learning and signal processing. However, standard first-order methods for nonsmooth optimization can be slow for "poorly conditioned" problems. In this talk, I will present a locally accelerated first-order method that is less sensitive to conditioning and achieves superlinear…
Richard M. Karp Distinguished Lecture — How Complex Is Complexity? Or What’s a ‘Meta’ for?
Richard M. Karp Distinguished Lecture — How Complex Is Complexity? Or What’s a ‘Meta’ for?
Abstract: The fundamental open questions in complexity theory have resisted our best efforts for more than half a century. But is there any reason to believe that it is fundamentally difficult to show that certain problems are hard to compute? In other words, what is the computational complexity of computational complexity? This question lies at the…
Berkeley IEOR Alumni Mixer
Berkeley IEOR Alumni Mixer
Join us on the evening of Wednesday, February 8 for an alumni celebration! This alumni mixer is complimentary for Berkeley alumni and guests. The mixer will feature a talk by Distinguished Professor Ken Goldberg entitled "Robots in the Roaring 2020s: A Post-Pandemic Surge in Robots and Automation" To ask questions about accessibility or request accommodations,…
1 event,
IEOR Seminar: Yunzong Xu, MIT
IEOR Seminar: Yunzong Xu, MIT
Talk Title Bridging Online and Offline Learning Towards Improved Data-Driven Operations Management Abstract Modern organizations’ operations require increasing use of machine learning tools. While supervised machine learning traditionally excels at making predictions based on i.i.d. offline data, many modern operational tasks require making sequential decisions based on data collected online. Bridging the gap between offline…
1 event,
IEOR Seminar: Sheng Liu, University of Toronto
IEOR Seminar: Sheng Liu, University of Toronto
Talk Title: Provably Good Region Partitioning for On-Time Last-Mile Delivery Abstract: People expect faster delivery of goods ranging from groceries to medicines. Managing on-time delivery systems is challenging because of the underlying uncertainties and combinatorial nature of the routing decision. In practice, the efficiency of such systems also hinges on the driver's familiarity with the…
0 events,
0 events,
1 event,
IEOR Seminar: Ahmet Alacaoglu, University of Wisconsin
IEOR Seminar: Ahmet Alacaoglu, University of Wisconsin
Talk Title Benefits of Randomization in First Order Algorithms for Min-Max Optimization Abstract Modern data science applications require solving high dimensional optimization problems with large number of data points. Min-max optimization provides a unified framework for many problems in this context ranging from empirical risk minimization and distributionally robust optimization in machine learning to medical…
1 event,
IEOR Seminar: Jiashuo Jiang, NYU
IEOR Seminar: Jiashuo Jiang, NYU
Talk Title Optimal Rationing of Pooled Resources with Individual Service-Level Constraints Abstract Resource pooling is a fundamental concept in supply chain management for reducing and hedging uncertainty. An important problem in resource pooling is to decide (1) the capacity level of pooled resources in anticipation of random demand of multiple customers and (2) how the…
1 event,
IEOR Seminar: Ying Cui, University of Minnesota
IEOR Seminar: Ying Cui, University of Minnesota
Talk Title: Theory and Algorithms for Non(-Clarke)-Regular Optimization Problems Abstract: Despite the growing interest in nonconvex and nonsmooth optimization problems among the continuous optimization community, much of the current research focuses on Clarke-regular objectives and constraints. This regularity leads to favorable computational properties, but limits the practical applicability of the algorithms developed. In this talk,…
1 event,
IEOR Seminar: Kim Yu, Northwestern University
IEOR Seminar: Kim Yu, Northwestern University
Talk Title: Generalized Submodular Optimization—Theory, Algorithms, and Applications Abstract: Submodularity is an important concept in integer and combinatorial optimization. Submodular set functions capture diminishing returns, and for this desirable property, they are found in numerous real-world applications. A submodular set function models the effect of selecting items from a single ground set, and whether an…
1 event,
Visa Info Session & Networking Event
Visa Info Session & Networking Event
Join Berkeley IEOR alum Anurag Aiyer (BS IEOR '22) and Visa recruiter Ilya Rosenblatt as they discuss internship opportunities available at Visa, as well as strategies to stand out as a candidate. This event will be catered. We ask that you RSVP by February 14. About Visa: Visa is a world leader in payments and…
0 events,
0 events,
0 events,
1 event,
Theoretically Speaking at the Brower Center — What Do the Theory of Computing and the Movies Have in Common?
Theoretically Speaking at the Brower Center — What Do the Theory of Computing and the Movies Have in Common?
What does theoretical computer science have to do with art and the movies? Alvy Ray Smith, who has done it all, tells that story. Born before computers and pixels, he has ridden the Moore’s law supernova wave all the way from the first pixels to the first digital movie, Toy Story, from Pixar, the company he…