BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Claremont Center for the Mathematical Sciences - ECPv6.16.5//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://colleges.claremont.edu/ccms
X-WR-CALDESC:Events for Claremont Center for the Mathematical Sciences
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20170312T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20171105T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20180311T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20181104T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20190310T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20191103T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20200308T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20201101T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20210314T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20211107T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20220313T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20221106T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20230312T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20231105T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20240310T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20241103T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20250309T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20251102T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20260308T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20261101T090000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251112T161500
DTEND;TZID=America/Los_Angeles:20251112T171500
DTSTAMP:20251021T163730Z
CREATED:20251021T163403Z
LAST-MODIFIED:20251021T163730Z
UID:3900-1762964100-1762967700@colleges.claremont.edu
SUMMARY:The 16th Atul Vyas Memorial Lecture in Mathematics (Teal Witter\, CMC)
DESCRIPTION:Atul Vyas was an outstanding CMC student who was majoring in Mathematics and Physics. He tragically lost his life in a train crash that occurred on September 12\, 2008 in Chatsworth\, California. The Mathematical Sciences Department at CMC fondly remembers Atul as someone who was equally excited by the power of mathematical abstraction and the possibilities for its applications. \nIn memory of Atul\, the CMC Mathematical Sciences Department hosts a yearly lecture series\, aimed at a general audience\, on the Creative Application of Abstract Mathematical Ideas. \nA brief reception will take place prior to the talk at 4:00 PM \nFor more details\, please see the attached Flyer \nSpeaker: R. Teal Witter\, Assistant Professor of Mathematical and Computer Science\, CMC \nTitle: Estimating Shapley Values for Explainable AI via Richer Model Approximations \nAbstract: Gradient descent is at the heart of modern machine learning: We iteratively update the weights of machine learning models to minimize a problem-specific loss. When it works well\, we deploy the model in human-facing domains like healthcare\, finance\, or the justice system. But even though we know how models are trained\, we don’t understand why they make the decisions they do. A particularly compelling approach to explaining AI predictions is the Shapley value\, a game-theoretic quantity that measures how each input to the model affects its output. Mathematically\, the i-th Shapley value is the average change in the i-th dimension of a particular function defined on the d-dimensional hypercube. Because the hypercube has 2^d points\, exactly computing Shapley values is infeasible. In this talk\, we will instead leverage algorithmic insights to develop state-of-the-art approximation methods.
URL:https://colleges.claremont.edu/ccms/event/the-16th-atul-vyas-memorial-lecture-in-mathematics/
LOCATION:Freeberg Forum\, LC 62\, Kravis Center\, CMC
CATEGORIES:Special Event
ORGANIZER;CN="Robert Cass":MAILTO:rcass@cmc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200506T161500
DTEND;TZID=America/Los_Angeles:20200506T171500
DTSTAMP:20200108T212845Z
CREATED:20190830T195416Z
LAST-MODIFIED:20200108T212845Z
UID:1461-1588781700-1588785300@colleges.claremont.edu
SUMMARY:Shahriar Shahriari
DESCRIPTION:
URL:https://colleges.claremont.edu/ccms/event/tba-25/
LOCATION:Freeberg Forum\, LC 62\, Kravis Center\, CMC
CATEGORIES:Colloquium
ORGANIZER;CN="Blerta Shtylla":MAILTO:shtyllab@pomona.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200422T161500
DTEND;TZID=America/Los_Angeles:20200422T171500
DTSTAMP:20200128T000316Z
CREATED:20190830T195201Z
LAST-MODIFIED:20200128T000316Z
UID:1457-1587572100-1587575700@colleges.claremont.edu
SUMMARY:Eva Kanso: How sea stars move
DESCRIPTION:
URL:https://colleges.claremont.edu/ccms/event/eva-kanso/
LOCATION:Freeberg Forum\, LC 62\, Kravis Center\, CMC
ORGANIZER;CN="Blerta Shtylla":MAILTO:shtyllab@pomona.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200415T161500
DTEND;TZID=America/Los_Angeles:20200415T171500
DTSTAMP:20200108T212009Z
CREATED:20190830T195045Z
LAST-MODIFIED:20200108T212009Z
UID:1455-1586967300-1586970900@colleges.claremont.edu
SUMMARY:Mike Izbicki
DESCRIPTION:
URL:https://colleges.claremont.edu/ccms/event/tba-23/
LOCATION:Freeberg Forum\, LC 62\, Kravis Center\, CMC
CATEGORIES:Colloquium
ORGANIZER;CN="Blerta Shtylla":MAILTO:shtyllab@pomona.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200408T161500
DTEND;TZID=America/Los_Angeles:20200408T171500
DTSTAMP:20200129T015659Z
CREATED:20190830T194745Z
LAST-MODIFIED:20200129T015659Z
UID:1451-1586362500-1586366100@colleges.claremont.edu
SUMMARY:Satyan Devadoss: Unfolding Mathematics at Burning Man
DESCRIPTION:
URL:https://colleges.claremont.edu/ccms/event/tba-21/
LOCATION:Freeberg Forum\, LC 62\, Kravis Center\, CMC
CATEGORIES:Colloquium
ORGANIZER;CN="Blerta Shtylla":MAILTO:shtyllab@pomona.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200401T161500
DTEND;TZID=America/Los_Angeles:20200401T171500
DTSTAMP:20200220T030820Z
CREATED:20200108T205641Z
LAST-MODIFIED:20200220T030820Z
UID:1705-1585757700-1585761300@colleges.claremont.edu
SUMMARY:Dagan Karp: Tropical Geometry and Moduli Spaces
DESCRIPTION:In this talk\, I’ll attempt to give an introduction to the beautiful world of tropical geometry. As an application\, I’ll describe work with Siddarth Kannan (Pomona 2018) and Shiyue Li (Mudd 2017) using tropical geometry to compute the cohomology of certain moduli spaces\, called heavy/light Hassett spaces\, which are of interest in a wide range of areas\, including the minimal model program and enumerative geometry.
URL:https://colleges.claremont.edu/ccms/event/dagan-karp/
LOCATION:Freeberg Forum\, LC 62\, Kravis Center\, CMC
ORGANIZER;CN="Blerta Shtylla":MAILTO:shtyllab@pomona.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200325T161500
DTEND;TZID=America/Los_Angeles:20200325T171500
DTSTAMP:20200219T181313Z
CREATED:20190830T194534Z
LAST-MODIFIED:20200219T181313Z
UID:1447-1585152900-1585156500@colleges.claremont.edu
SUMMARY:A competent translation/a pitiful bungle: The Foundations of Geometry (Jemma Lorenat)
DESCRIPTION:David Hilbert’s Grundlagen der Geometrie is a rare example of a historical mathematics text that is still profitably read today and continues to inspire research in mathematics\, computer science\, and philosophy. \nThe effort of publishing an English translation of Hilbert in 1902 involved a diverse swath of the American mathematical community.  Edgar Jerome Townsend completed a first draft of his authorized translation in a few weeks\, but the process of creating a successful publication involved negotiations\, corrections\, and attention to detail that continued well after the first edition appeared in print. Meanwhile\, published and private texts that circulated around the English edition contained conflicting conclusions with respect to the quality of the translation\, the book’s audience\, and the parameters of a scholarly critique. This talk sheds light on American mathematics at a pivotal time in its history and raises questions about the language and form of mathematical texts that continue to be relevant today.
URL:https://colleges.claremont.edu/ccms/event/tba-19/
LOCATION:Freeberg Forum\, LC 62\, Kravis Center\, CMC
CATEGORIES:Colloquium
ORGANIZER;CN="Blerta Shtylla":MAILTO:shtyllab@pomona.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200311T161500
DTEND;TZID=America/Los_Angeles:20200311T171500
DTSTAMP:20200309T185328Z
CREATED:20190830T194437Z
LAST-MODIFIED:20200309T185328Z
UID:1445-1583943300-1583946900@colleges.claremont.edu
SUMMARY:Edray Goins: Indiana Pols Forced to Eat Humble Pi\, The Curious History of an Irrational Number
DESCRIPTION:In 1897\, Indiana physician Edwin J. Goodwin believed he had discovered a way to square the circle\, and proposed a bill to Indiana Representative Taylor I. Record which would secure Indiana’s the claim to fame for his discovery. About the time the debate about the bill concluded\, Purdue University professor Clarence A. Waldo serendipitously came across the claimed discovery\, and pointed out its mathematical impossibility to the lawmakers. It had only be shown just 15 years before\, by the German mathematician Ferdinand von Lindemann\, that it was impossible to square the circle because π is an irrational number. This fodder became ignominiously known as the “Indiana Pi Bill” as Goodwin’s result would force $\pi = 3.2$. \nIn this talk\, we review this humorous history of the irrationality of $\pi$. We introduce a method to compute its digits\, present Lindemann’s proof of its irrationality (following a simplification by Miklo ́s Laczkovich)\, discuss the relationship with the Hermite-Lindemann-Weierstrass theorem\, and explain how Edwin J. Goodwin came to his erroneous conclusion in the first place.
URL:https://colleges.claremont.edu/ccms/event/tba-18/
LOCATION:Freeberg Forum\, LC 62\, Kravis Center\, CMC
CATEGORIES:Colloquium
ORGANIZER;CN="Blerta Shtylla":MAILTO:shtyllab@pomona.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200304T161500
DTEND;TZID=America/Los_Angeles:20200304T171500
DTSTAMP:20200227T181351Z
CREATED:20190830T194342Z
LAST-MODIFIED:20200227T181351Z
UID:1443-1583338500-1583342100@colleges.claremont.edu
SUMMARY:Christopher Strickland: Modeling the prescription opioid epidemic
DESCRIPTION:Opioid addiction has become a national health crisis in recent years\, with involvement in 66% of all drug overdose deaths in 2016 and high economic costs. In contrast to the dynamics of a classic disease or illicit drug epidemic\, opioid addiction has its roots in legal\, prescription medication – a fact which greatly increases the exposed population and mathematically suggests non-contact based routes of infection. \nIn this talk\, I will present a first epidemic model for opioid addiction and treatment. Through analysis of our model\, we show that existence of an addiction-free equilibrium requires transforming the opioid dynamics into that of a purely illicit drug epidemic and that lacking prescription-induced addiction\, the prescription drug epidemic may not be self-sustaining. Numerical analysis suggests specific targets for control. Following this\, I will present preliminary results from a new model that examines the role of heroin and fentanyl on the epidemic in the context of data from the state of Tennessee. These results include a strong fit between model and data\, and among other conclusions\, suggest that an epidemic involving powerful\, illicit opioids is now both self-sustaining and strongly on the rise despite a decline in prescription-based addictions. \n \n 
URL:https://colleges.claremont.edu/ccms/event/tba-17/
LOCATION:Freeberg Forum\, LC 62\, Kravis Center\, CMC
CATEGORIES:Colloquium
ORGANIZER;CN="Blerta Shtylla":MAILTO:shtyllab@pomona.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200226T161500
DTEND;TZID=America/Los_Angeles:20200226T171500
DTSTAMP:20200224T200806Z
CREATED:20190830T174358Z
LAST-MODIFIED:20200224T200806Z
UID:1440-1582733700-1582737300@colleges.claremont.edu
SUMMARY:Energy optimization on the sphere
DESCRIPTION:Many problems\, arising in discrete and metric geometry\, signal processing\, physics\, etc\, can be reformulated as questions of optimizing discrete or continuous measures. We shall review some of such conjectures\, as well as approaches to determining optimal (or at least good) point distributions and measures\, and connections to other problems\, such as discrepancy\, sphere packings etc. We shall also discuss several manifestations of the phenomenon of clustering of minimizing measures\, which is often observed theoretically\, numerically\, or experimentally: in many situations\, in particular for some attractive-repulsive potentials\, the minimizers of the energy integral happen to be discrete or supported on very thin sets.
URL:https://colleges.claremont.edu/ccms/event/dmitriy-bilyk/
LOCATION:Freeberg Forum\, LC 62\, Kravis Center\, CMC
CATEGORIES:Colloquium
ORGANIZER;CN="Blerta Shtylla":MAILTO:shtyllab@pomona.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200219T161500
DTEND;TZID=America/Los_Angeles:20200219T171500
DTSTAMP:20200216T235639Z
CREATED:20190830T174311Z
LAST-MODIFIED:20200216T235639Z
UID:1438-1582128900-1582132500@colleges.claremont.edu
SUMMARY:Nano Knot theory\, methods to study tiny knot in nature
DESCRIPTION:Knotting in living organisms is a feature that is visible to the careful observer of biological life.  Since the 1970’s\, with the increasing power of electron microscopes\, scientists have been able to capture images of such structures in living organisms at near atomic levels.  We will explore the mathematics of knotting that has provided tools study these phenomena and\, time permitting\, describe new methods being developed to analyze these spatial structure.  
URL:https://colleges.claremont.edu/ccms/event/ken-millett/
LOCATION:Freeberg Forum\, LC 62\, Kravis Center\, CMC
CATEGORIES:Colloquium
ORGANIZER;CN="Blerta Shtylla":MAILTO:shtyllab@pomona.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200212T161500
DTEND;TZID=America/Los_Angeles:20200212T171500
DTSTAMP:20200210T182301Z
CREATED:20190830T174207Z
LAST-MODIFIED:20200210T182301Z
UID:1436-1581524100-1581527700@colleges.claremont.edu
SUMMARY:Applications of Markov Chains to Swarm Robotics and Political Redistricting
DESCRIPTION:What do swarm robotics and political redistricting have in common? One answer is Markov chains\, which have recently been used in very different ways to address problems in both these areas. To get a large swarm to exhibit a desired behavior\, one solution is to make each individual in the swarm fairly intelligent; another is to make the individuals simple\, but to let the desired behavior emerge as a result of their interactions. My collaborators and I recently used Markov chains and ideas from statistical physics to develop distributed algorithms that follow this second paradigm.  We also worked with physicists to create a physical robot system where each individual cannot compute anything\, but the system as a whole can still accomplish complex tasks. For political redistricting\, the main mathematical technique developed in the last few years for detecting gerrymandering is to compare a proposed plan to the space of all possible alternative plans; if the proposed plan is an outlier\, that’s an indicator it might be gerrymandered. However\, the space of all possible districting plans is far too large to ever be studied in its entirety.  Instead\, Markov chains are used to generate random samples of alternative plans\, where the hope is that the sampled plans are reasonably representative of all possible plans. This approach has already been used successfully in court cases around the country\, though questions still remain about what mathematical guarantees we can give about the randomly sampled districting plans.
URL:https://colleges.claremont.edu/ccms/event/tba-16/
LOCATION:Freeberg Forum\, LC 62\, Kravis Center\, CMC
CATEGORIES:Colloquium
ORGANIZER;CN="Blerta Shtylla":MAILTO:shtyllab@pomona.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200205T161500
DTEND;TZID=America/Los_Angeles:20200205T171500
DTSTAMP:20200203T185415Z
CREATED:20190830T174047Z
LAST-MODIFIED:20200203T185415Z
UID:1434-1580919300-1580922900@colleges.claremont.edu
SUMMARY:Kernel approaches in global statistical distances\, local measure detection\, and active learning
DESCRIPTION:In this talk\, we’ll discuss the problem of constructing meaningful distances between probability distributions given only finite samples from each distribution.  We approach this through the use of data-adaptive and localized kernels\, and in a variety of contexts.  First\, we construct locally adaptive kernels to define fast pairwise distances between distributions\, with applications to unsupervised clustering.  Then\, we construct localized kernels to determine a statistical framework for determining where two distributions differ\, with applications to measure detection for generative models.  Finally\, we’ll begin to address the question of measure detection without a priori known labels of which distribution a point came from.  This is addressed through active learning\, in which one can choose a small number of points at which to query a label.  This is ongoing work with Xiuyuan Cheng (Duke) and Hrushikesh Mhaskar (CGU)\, among others.
URL:https://colleges.claremont.edu/ccms/event/alex-cloninger/
LOCATION:Freeberg Forum\, LC 62\, Kravis Center\, CMC
CATEGORIES:Colloquium
ORGANIZER;CN="Blerta Shtylla":MAILTO:shtyllab@pomona.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200129T161500
DTEND;TZID=America/Los_Angeles:20200129T171500
DTSTAMP:20200124T210246Z
CREATED:20190830T173951Z
LAST-MODIFIED:20200124T210246Z
UID:1432-1580314500-1580318100@colleges.claremont.edu
SUMMARY:A Tauberian theorem and some of its applications
DESCRIPTION:In general terms\, a Tauberian theorem deals with the relationship between the properties of one transform of a measure with those of another transform. We will introduce the notion of a Tauberian theorm\, and present our own recent theorem in this direction. Our theorem provides a uniform theory for the construction of certain localized kernels in a very general context. These in turn play a fundamental role in many different applications in numerical analysis\, signal processing\, and machine learning. We will discuss a few applications\, for example\, the construction of a theory inspired neural network for the solution of Burgers equation\, inversion of Laplace transform of point masses\, and an alternative theory for function approximation in the setting of diffusion geometry in machine learning without the need for any eigen-decomposition of a large matrix.
URL:https://colleges.claremont.edu/ccms/event/hrushikesh-mhaskar/
LOCATION:Freeberg Forum\, LC 62\, Kravis Center\, CMC
CATEGORIES:Colloquium
ORGANIZER;CN="Blerta Shtylla":MAILTO:shtyllab@pomona.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20180214T160000
DTEND;TZID=America/Los_Angeles:20180214T170000
DTSTAMP:20180212T231323Z
CREATED:20180212T231323Z
LAST-MODIFIED:20180212T231323Z
UID:139-1518624000-1518627600@colleges.claremont.edu
SUMMARY:A tribute to Euler
DESCRIPTION:Among the greatest of mathematicians is Leonhard Euler (1707-1783)\, whose insight\, industry\, and ingenuity are unsurpassed in the long history of mathematics. In this talk we sketch Euler’s life\, describe the quantity and quality of his mathematical output\, and discuss a few of his discoveries from the realms of number theory\, geometry\, analysis\, and combinatorics. We then look at a specific theorem: his proof\, using integral calculus (!)\, of what is known as “Euler’s Identity” -i.e.\, exp(ix)=cos(x)+isin(x). We should thereby get a sense of Euler’s genius and see why he is rightly known as “the Master of Us All.” NOTE: This talk should be accessible to any student who has seen calculus.
URL:https://colleges.claremont.edu/ccms/event/a-tribute-to-euler/
LOCATION:Freeberg Forum\, LC 62\, Kravis Center\, CMC
CATEGORIES:Colloquium
END:VEVENT
END:VCALENDAR