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Monday, November 27, 2017

Agostino Capponi - Bail-Ins And Bail-Outs: Incentives, Connectivity, And Systemic Stability

Seminar | November 27 | 3:30-5 p.m. | 3108 Etcheverry Hall


Agostino Capponi, Columbia University

Industrial Engineering & Operations Research


We develop a framework to analyze the consequences of alternative designs for interbank networks, in which a failure of one bank may lead to others. Earlier work had suggested that, provided shocks were not too large (or too correlated), denser networks were preferred to more sparsely connected networks because they were better able to absorb shocks. With large shocks, especially when systems are...   More >



Jon Lee — Comparing relaxations via volume for nonconvex optimization

Colloquium | November 27 | 3:30-5 p.m. | 3108 Etcheverry Hall


Jon Lee, University of Michigan

Industrial Engineering & Operations Research


Abstract: Practical exact methods for global optimization of mixed-integer nonlinear optimization formulations rely on convex relaxation. Then, one way or another (via refinement and/or disjunction), global optimality is sought. Success of this paradigm depends on balancing tightness and lightness of relaxations. We will investigate this from a mathematical viewpoint, comparing polyhedral...   More >

Friday, January 26, 2018

Hoda Bidkhori - Analyzing Process Flexibility Using Robust Optimization: UC Berkeley IEOR

Seminar | January 26 | 4 p.m. | 4193 Etcheverry Hall


Hoda Bidkhori, UC Berkeley IEOR

Industrial Engineering & Operations Research


Abstract: Process flexibility has been widely applied in many industries as a competitive strategy to improve responsiveness to demand uncertainty. The first part of the talk addresses the problem of managing process flexibility in a fairly general manufacturing system. In our model, each plant might have a different cost for adding flexibility or extra capacity. We model this problem as an...   More >

Monday, January 29, 2018

Laurent El Ghaoui- Lifted Neural Nets: Beyond The Grip Of Stochastic Gradients In Deep Learning

Seminar: Distinguished Lecture Series | January 29 | 3:30-5 p.m. | 3108 Etcheverry Hall


Laurent El Ghaoui, UC Berkeley IEOR

Industrial Engineering & Operations Research


Abstract: We describe a novel family of models of multi-layer feedforward neural networks, where the activation functions are encoded via penalties in the training problem. The new framework allows for algorithms such as block-coordinate descent methods to be applied, in which each step is composed of simple (no hidden layer) supervised learning problems that are parallelizable across layers, or...   More >

Monday, February 5, 2018

Wenpin Tang - Optimal Surviving Strategy For The Up The River Problem

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


Wenpin Tang, UCLA

Industrial Engineering & Operations Research


Nowadays there are more and more people living on the planet, but the available resources are very limited. So an interesting question is how to allocate the limited resources to maximize our welfare.

Monday, February 12, 2018

Georgina Hall - LP, SOCP, and optimization-free approaches to sum of squares optimization

Seminar: Distinguished Lecture Series | February 12 | 3:30-5 p.m. | 3108 Etcheverry Hall


Georgina Hall, Princeton University

Industrial Engineering & Operations Research


The problem of optimizing over the cone of nonnegative polynomials is a fundamental problem in computational mathematics, with applications to polynomial optimization, control, machine learning, game theory, and combinatorics, among others.

Wednesday, February 14, 2018

Eric Friedlander - Mean-Field Methods In Large Stochastic Networks

Seminar | February 14 | 3:30-5 p.m. | 540 Cory Hall


Eric Friedlander, University of North Carolina - Chapel Hill

Industrial Engineering & Operations Research


Abstract: Analysis of large-scale communication networks (e.g. ad hoc wireless networks, cloud computing systems, server networks etc.) is of great practical interest. The massive size of such networks frequently makes direct analysis intractable. Asymptotic approximations using hydrodynamic and diffusion scaling limits provide useful methods for approaching such problems. In this talk, we study...   More >

Friday, February 16, 2018

Zeyu Zheng - Top-Down Statistical Modeling

Seminar | February 16 | 2-3:30 p.m. | 3108 Etcheverry Hall


Zeyu Zheng, Stanford University

Industrial Engineering & Operations Research


Abstract: In this talk, we will argue that data-driven service systems engineering should take a statistical perspective that is guided by the decisions and performance measures that are critical from a managerial perspective. We further take the view that the statistical models will often be used as inputs to simulations that will be used to drive either capacity decisions or real-time decisions...   More >

Wednesday, February 21, 2018

Weina Wang- Delay Bounds And Asymptotics In Cloud Computing Systems

Seminar: Distinguished Lecture Series | February 21 | 3:30-5 p.m. | 3110 Etcheverry Hall


Weina Wang, Illinois Urbana-Campaign

Industrial Engineering & Operations Research


With the emergence of big-data technologies, cloud computing systems are growing rapidly in size and becoming more and more complex, making it costly to conduct experiments and simulations. Therefore, modeling computing systems and characterizing their performance analytically are more critical than ever in identifying bottlenecks, informing system design, and facilitating provisioning.

Monday, February 26, 2018

Barna Saha - Efficient Fine-Grained Algorithms

Seminar | February 26 | 3:30-5 p.m. | 3108 Etcheverry Hall


Barna Saha, University of Massachusetts Amherst

Industrial Engineering & Operations Research


Abstract: One of the greatest successes of computational complexity theory is the classification of countless fundamental computational problems into polynomial-time and NP-hard ones, two classes that are often referred to as tractable and intractable, respectively. However, this crude distinction of algorithmic efficiency is clearly insufficient when handling today's large scale of data. We need...   More >

Monday, April 2, 2018

Agostino Capponi - Columbia University

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


Agostino Capponi, Columbia University

Industrial Engineering & Operations Research


Agostino Capponi joined Columbia University's IEOR Department in August 2014, where he is also a member of the Institute for Data Science and Engineering.

His main research interests are in the area of networks, with a special focus on systemic risk, contagion, and control. In the context of financial networks, the outcome of his research contributes to a better understanding of risk...   More >

Thursday, April 5, 2018

Robots on the Edge: Intelligent Machines, Industry 4.0 and Fog Robotics

Panel Discussion | April 5 | 11:30 a.m.-1:30 p.m. |  UC Santa Cruz, Silicon Valley Campus


3175 Bowers Avenue, Santa Clara, CA 95054

Ken Goldberg, Professor of Industrial Engineering and Operations Research, UC Berkeley, CITRIS and the Banatao Institute; Juan Aparicio, Head of Research Group Advanced Manufacturing Automation, Siemens Corporation

CITRIS and the Banatao Institute


Please join us for the CITRIS Silicon Valley Forum, a new monthly series from CITRIS and the Banatao Institute. Our second panel of the Spring 2018 series invites Ken Goldberg, Professor of Industrial Engineering and Operations Research and Juan Aparicio, Head of Research Group Advanced Manufacturing Automation at Siemens to discuss Robots on the Edge: Intelligent Machines, Industry 4.0, and Fog...   More >


All Audiences, Faculty, Friends of the University, General Public, Students - Graduate

All Audiences

Monday, April 16, 2018

Rahul Jain — Reinforcement Learning without Reinforcement

Seminar | April 16 | 3:30-4:30 p.m. | 3108 Etcheverry Hall


Rahul Jain, University of Southern California

Industrial Engineering & Operations Research


Abstract: Reinforcement Learning (RL) is concerned with solving sequential decision-making problems in the presence of uncertainty. RL is really about two problems together. The first is the `Bellman problem’: Finding the optimal policy given the model, which may involve large state spaces. Various approximate dynamic programming and RL schemes have been developed, but either there are no...   More >

Monday, April 30, 2018

Avraham Shtub -Technion

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


Avraham Shtub, Technion

Industrial Engineering & Operations Research


Professor Avraham Shtub holds the Stephen and Sharon Seiden Chair in Project Management. He was a faculty member of the department of Industrial Engineering at Tel Aviv University from 1984 to 1998 where he also served as a chairman of the department (1993-1996)...   More >

Monday, May 7, 2018

BLISS Seminar: Learning with Low Approximate Regret with Partial Feedback

Seminar | May 7 | 3-4 p.m. | 540 Cory Hall


Eva Tardos

Electrical Engineering and Computer Sciences (EECS)


We consider the adversarial multi-armed bandit problem with partial feedback, minimizing a non-negative loss function using the graph based feedback framework introduced by Mannor and Shamir in 2011. We offer algorithms that attain small loss bounds, as well as low approximate regret against a shifting comparator.

Classical learning algorithms add a low level of uniform noise to the...   More >

Friday, June 15, 2018

Let's be Flexible: Soft Haptics and Soft Robotics

Seminar | June 15 | 1-2 p.m. | 540AB Cory Hall


Allison Okamura, Stanford University

Electrical Engineering and Computer Sciences (EECS)


While traditional robotic manipulators are constructed from rigid links and localized joints, a new generation of robotic devices are soft, using flexible, deformable materials. In this talk, I will describe several new systems that leverage softness to achieve novel shape control, provide a compliant interface to the human body, and access hard-to-reach locations...   More >

Tuesday, July 31, 2018

Seminar 217, Risk Management: A Term Structure Model for Dividends and Interest Rates

Seminar | July 31 | 2-3:30 p.m. | 1011 Evans Hall


Speaker: Damir Filipović, Ecole Polytechnique Fédérale de Lausanne

Consortium for Data Analytics in Risk


Over the last decade, dividends have become a standalone asset class instead of a mere side product of an equity investment. We introduce a framework based on polynomial jump-diffusions to jointly price the term structures of dividends and interest rates. Prices for dividend futures, bonds, and the dividend paying stock are given in closed form.

Tuesday, August 28, 2018

Seminar 217, Risk Management: Is motor insurance ratemaking going to change with telematics and semi-autonomous vehicles?

Seminar | August 28 | 11 a.m.-12:30 p.m. | 1011 Evans Hall


Speaker: Montserrat Guillen, University of Barcelona

Consortium for Data Analytics in Risk


Many automobile insurance companies offer the possibility to monitor driving habits and distance driven by means of telematics devices installed in the vehicles. This provides a novel source of data that can be analysed to calculate personalised tariffs. For instance, drivers who accumulate a lot of miles should be charged more for their insurance coverage than those who make little use of their...   More >

Tuesday, September 4, 2018

Seminar 217, Risk Management: On Optimal Options Book Execution Strategies with Market Impact

Seminar | September 4 | 11 a.m.-12:30 p.m. | 1011 Evans Hall


Speaker: Saad Mouti, UC Berkeley

Consortium for Data Analytics in Risk


We consider the optimal execution of a book of options when market impact is a driver of the option price. We aim at minimizing the mean-variance risk criterion for a given market impact function. First, we develop a framework to justify the choice of our market impact function. Our model is inspired from Leland’s option replication with transaction costs where the market impact is directly part...   More >

Tuesday, September 11, 2018

Seminar 217, Risk Management: Capacity constraints in earning, and asset prices before earnings announcements

Seminar | September 11 | 11 a.m.-12:30 p.m. | 1011 Evans Hall


Speaker: Tamas Batyi, UC Berkeley

Consortium for Data Analytics in Risk


This paper proposes an asset pricing model with endogenous allocation of constrained learning capacity, that provides an explanation for abnormal returns before the scheduled release of information about firms, such as quarterly earnings announcements. In equilibrium investors endogenously focus their learning capacity and acquire information about stocks with upcoming announcements, resulting in...   More >

Saturday, September 15, 2018

Science Lecture - Artificial Intelligence and the long-term future of humanity

Lecture | September 15 | 11 a.m.-12:30 p.m. | 100 Genetics & Plant Biology Building


Stuart Russell, Department of Electrical Engineering and Computer Sciences

Science@Cal


The news media in recent years have been full of dire warnings about the risk that AI poses to the human race, coming from well-known figures such as Stephen Hawking and Elon Musk. Should we be concerned? If so, what can we do about it? While some in the mainstream AI community dismiss these concerns, Professor Russell will argue instead that a fundamental reorientation of the field is required...   More >


All Audiences, Alumni, Faculty, Friends of the University, General Public, Staff, Students - Graduate, Students - Prospective, Students - Undergraduate, Cal Parents

All Audiences, Alumni, Faculty, Friends of the University, General Public, Staff, Students - Graduate, Students - Prospective, Students - Undergraduate, Cal Parents

Tuesday, September 18, 2018

Seminar 217, Risk Management: Nonstandard Analysis and its Application to Markov Processes

Seminar | September 18 | 11 a.m.-12:30 p.m. | 1011 Evans Hall


Speaker: Haosui Duanmu, UC Berkeley

Consortium for Data Analytics in Risk


Nonstandard analysis, a powerful machinery derived from mathematical logic, has had many applications in probability theory as well as stochastic processes. Nonstandard analysis allows construction of a single object - a hyperfinite probability space - which satisfies all the first order logical properties of a finite probability space, but which can be simultaneously viewed as a...   More >

Tuesday, September 25, 2018

Seminar 217, Risk Management: A Deep Learning Investigation of One-Month Momentum

Seminar | September 25 | 11 a.m.-12:30 p.m. | 1011 Evans Hall


Speaker: Ben Gum, AXA Rosenberg

Consortium for Data Analytics in Risk


The one-month return reversal in equity prices was first documented by Jedadeesh (1990), who found that there was a highly significant negative serial correlation in the monthly return series of stocks. This is in contrast to the positive serial correlation of the annual stock returns. Explanations for this effect differ, but the general consensus has been that the trailing one-month return...   More >

Tuesday, October 2, 2018

Seminar 217, Risk Management: Predicting Portfolio Return Volatility at Median Horizons

Seminar | October 2 | 11 a.m.-12:30 p.m. | 1011 Evans Hall


Speaker: Dangxing Chen, UC Berkeley

Consortium for Data Analytics in Risk


Commercially available factor models provide good predictions of short-horizon (e.g. one day or one week) portfolio volatility, based on estimated portfolio factor loadings and responsive estimates of factor volatility. These predictions are of significant value to certain short-term investors, such as hedge funds. However, they provide limited guidance to long-term investors, such as Defined...   More >

Tuesday, October 9, 2018

Seminar 217, Risk Management: Robust Learning: Information Theory and Algorithms

Seminar | October 9 | 11 a.m.-12:30 p.m. | 1011 Evans Hall


Speaker: Jacob Steinhardt, Stanford

Consortium for Data Analytics in Risk


This talk will provide an overview of recent results in high-dimensional robust estimation. The key question is the following: given a dataset, some fraction of which consists of arbitrary outliers, what can be learned about the non-outlying points? This is a classical question going back at least to Tukey (1960). However, this question has recently received renewed interest for a combination of...   More >

Tuesday, October 16, 2018

Seminar 217, Risk Management: Asymptotic Spectral Analysis of Markov Chains with Rare Transitions: A Graph-Algorithmic Approach

Seminar | October 16 | 11 a.m.-12:30 p.m. | 1011 Evans Hall


Speaker: Tingyue Gan, UC Berkeley

Consortium for Data Analytics in Risk


Parameter-dependent Markov chains with exponentially small transition rates arise in modeling complex systems in physics, chemistry, and biology. Such processes often manifest metastability, and the spectral properties of the generators largely govern their long-term dynamics. In this work, we propose a constructive graph-algorithmic approach to computing the asymptotic estimates of eigenvalues...   More >

Tuesday, October 23, 2018

Seminar 217, Risk Management: Proliferation of Anomalies and Zoo of Factors – What does the Hansen–Jagannathan Distance Tell Us?

Seminar | October 23 | 11 a.m.-12:30 p.m. | 1011 Evans Hall


Speaker: Xiang Zhang, SWUFE

Consortium for Data Analytics in Risk


Recent research finds that prominent asset pricing models have mixed success in evaluating the cross-section of anomalies, which highlights proliferation of anomalies and zoo of factors. In this paper, I investigate that how is the relative pricing performance of these models to explain anomalies, when comparing their misspecification errors– the Hansen–Jagannathan (HJ) distance measure. I find...   More >

Tuesday, November 13, 2018

Seminar 217, Risk Management: Putting the 'I' in IPO

Seminar | November 13 | 11 a.m.-12:30 p.m. | 1011 Evans Hall


Speakers: Chi Zhang, Kamyar Kaviani, Nikita Vemuri, and Simon Walter, UC Berkeley

Consortium for Data Analytics in Risk


As an alternative to traditional loans, young people could issue securities that pay dividends that depend on their future financial success in life. This type of a personal IPO is especially desirable for young people, who for example may need money for a college education, because it allows them to shift the risk of repayment to investors who bet on their future success, unlike in a traditional...   More >

Tuesday, November 27, 2018

Seminar 217, Risk Management: Bankruptcy Claim Dischargeability and Public Externalities: Evidence from a Natural Experiment

Seminar | November 27 | 11 a.m.-12:30 p.m. | 1011 Evans Hall


Speaker: Michael Ohlrogge, Stanford

Consortium for Data Analytics in Risk


In 2009, the Seventh Circuit ruled in U.S. v. Apex Oil that certain types of injunctions requiring firms to clean up previously released toxic chemicals were not dischargeable in bankruptcy. This was widely perceived to represent a split with Sixth Circuit precedent, although Supreme Court cert was denied. Numerous legal commentators wrote of the significance of this decision in strengthening...   More >