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        "event_title":"KPMG Find Your Niche in Federal Audit",
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        "event_title":"Tiffany Ng, carillon",
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        "combined_title":"Tiffany Ng, carillon",
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        "description":"University Carillonist Tiffany Ng performs on the Ann & Robert H. Lurie Carillon, an instrument of 60 bells with the lowest bell (bourdon) weighing 6 tons.\n\nThirty-minute recitals are performed on the Lurie Carillon every weekday that classes are in session. During these recitals, visitors may take the elevator to level 2 to view the largest bells, or to level 3 to see the carillonist performing. (Visitors subject to acrophobia are recommended to visit level 2 only.) An optional spiral stairway between levels 2 and 3 allows for up-close views of some of the largest bells.",
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        "event_title":"ASM Virtual Tech Talk: Software Engineering",
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        "event_title":"Career Exploration Days: Business & Technology",
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        "event_type":"Careers \/ Jobs",
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        "description":"Are you an LSA student interested in pursuing a career in business or tech? Join the LSA Opportunity Hub for our Career Exploration Days! These mini career fairs provide a care-free space to explore career opportunities with companies in these industries, engage in powerful networking, and form valuable connections with employers. \r\n\r\nYou should attend this Career Fair if you are:\r\n\r\nAn LSA student in any year that is exploring career opportunities in business and tech\r\n\r\nEager to connect with recruiters and discover different career pathways\r\n\r\nInterested in learning valuable skills to help you excel in business and technology recruiting\r\n\r\nWhat you\u2019ll gain by attending:\r\n\r\nDiscover multiple career paths in business and tech by getting in front of great companies in the industry \r\n\r\nGain insights on how your skills and interests may align with an organization\u2019s available opportunities\r\n\r\nDevelop an understanding of next steps in the recruiting process\r\n\r\nShare your r\u00e9sum\u00e9 with recruiters in attendance\r\n\r\nForm valuable connections with employers looking to hire LSA students\r\n\r\nThe LSA Opportunity Hub aims to deliver inclusive and accessible experiences and welcomes all LSA students to participate. This event is on the first floor of a wheelchair accessible building which includes wheelchair-accessible restrooms on the first floor, a gender-inclusive and accessible restroom on the first floor, places to sit or stand during the event, and accessible parking options nearby on Maynard Street. Ramps are located at the East entrance (from State St.) and the Northwest entrance (from Maynard). Power doors are located at the Northwest entrance. To request other accommodations please contact LSA Hub Events at lsa.hubevents@umich.edu or 734-764-4674 so we can make arrangements.\r\n\r\nRSVP NOW to reserve your spot as capacity is limited.",
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        "event_title":"From circles and dots to separating curves in genus 2 (combinatorics seminar)",
        "occurrence_title":"",
        "combined_title":"From circles and dots to separating curves in genus 2 (combinatorics seminar): Greg Muller, University of Oklahoma (NOTE UNUSUAL DATE AND PLACE)",
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        "description":"Given 6 dots in the plane, how many ways are there to separate them into two sets of 3 using a circle? Or using a Jordan curve? The first question can be answered by considering \"higher order Voronoi diagrams\"; the latter can be answered by observing these diagrams have a \"plabic\" structure (in the sense of Postnikov). This gives a bijection between such Jordan curves and degree 1 cluster variables in the cluster algebra of type X7, an exceptional cluster algebra about which little is known. This correspondence allows us to translate structure theorems about cluster algebras into remarkable results on the structure of Jordan curves with 3 dots on either side. As an application, we translate these results into analogous results on \"separating curves in the closed surface of genus 2\"; specifically, we show that the g=2 separating curve complex is a strongly connected 6-dimensional pseudomanifold. On joint work with James Beyer and Jaewon Min.\r\n\r\nThis talk will take place in East Hall 4448.",
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        "event_title":"Get To Know the Disney College Program Information Session",
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        "description":"Come join Recruiters with Disney Programs Recruitment Team, for a virtual engagement session where they will help you learn more about the Disney College Program and discuss the living, learning and earning components offered. This 45-minute session aims to inform you about the Disney College Program and get you excited to learn more about this opportunity of a lifetime!\u00a0",
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        "event_title":"IOE 899: Convex Mixed-Integer Optimization for Causal Discovery",
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        "combined_title":"IOE 899: Convex Mixed-Integer Optimization for Causal Discovery: Simge Kucukyavuz, Northwestern University - Industrial Engineering & Management Sciences",
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        "event_type":"Workshop \/ Seminar",
        "event_type_id":"21",
        "description":"Simge K\u00fc\u00e7\u00fckyavuz is Chair and David A. and Karen Richards Sachs Professor in the Industrial Engineering and Management Sciences Department at Northwestern University. She is an expert in mixed-integer, large-scale, and stochastic optimization and their applications across numerous domains, including social networks, computing and energy infrastructure, statistical learning, and logistics. She is an INFORMS Fellow, and the recipient of the NSF CAREER Award and the INFORMS Computing Society (ICS) Prize. She is the past chair of ICS and serves on the editorial boards of Mathematics of Operations Research, Mathematical Programming, Operations Research, SIAM Journal on Optimization, and MOS-SIAM Optimization Book Series. She received her Ph.D. in Industrial Engineering and Operations Research from the University of California, Berkeley.\r\n\r\nAbstract:\r\nBayesian Networks (BNs) represent conditional probability relations among a set of random variables (nodes) in the form of a directed acyclic graph (DAG), and have found diverse applications in casual discovery. We study the problem of learning the sparse DAG structure of a BN from continuous observational data. The central problem can be modeled as a mixed-integer program with an objective function composed of a convex loss function and a regularization penalty subject to linear constraints. The optimal solution to this mathematical program is known to have desirable statistical properties under certain conditions.  However, the state-of-the-art optimization solvers are not able to obtain provably optimal solutions to the existing mathematical formulations for medium-size problems within reasonable computational times. To address this difficulty, we tackle the problem from both computational and statistical perspectives. On the one hand, we propose a concrete early stopping criterion to terminate the branch-and-bound process in order to obtain a near-optimal solution to the mixed-integer program, and establish the consistency of this approximate solution. On the other hand, we improve the existing formulations by replacing the linear big-M constraints that represent the relationship between the continuous and binary indicator variables with second-order conic constraints.  Our numerical results demonstrate the effectiveness of the proposed approaches. This is joint work with Tong Xu, Armeen Taeb, Ali Shojaie.",
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        "tags":["899 Seminar Series","Industrial And Operations Engineering","Michigan Engineering","seminar"],
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                "website":"http:\/\/ioe.engin.umich.edu\/"                }                    ],
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