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TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20070311T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
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BEGIN:VEVENT
DTSTAMP:20260125T203543
DTSTART;TZID=America/Detroit:20260416T154500
DTEND;TZID=America/Detroit:20260416T170000
SUMMARY:Workshop / Seminar:Algebraic Geometry Learning Seminar: Cographic matroid criterion
DESCRIPTION:Explain the proof of the key combinatorial result (Theorem 1.9 of the paper) behind the main theorem.
UID:144461-21895387@events.umich.edu
URL:https://events.umich.edu/event/144461
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Mathematics
LOCATION:East Hall - 4096
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260305T102627
DTSTART;TZID=America/Detroit:20260416T160000
DTEND;TZID=America/Detroit:20260416T173000
SUMMARY:Lecture / Discussion:Professors Jie (Jackie) Li\, Ralf J. Spatzier\, and Nicholas A. Valentino\, Collegiate Professorship Inaugural Lecture
DESCRIPTION:This event will take place both in person and virtually.\n\nProfessor Jie (Jackie) Li\nRodney C. Ewing Collegiate Professor of Earth and Planetary Sciences\n\nLecture Title: From Diamonds to Dynamo: How Earth Stays Magnetic? \n\nLecture Abstract: Beneath the dancing lights of the aurora lies a 4-billion-year survival story. By recreating the extreme pressures and temperatures of Earth’s core with gem-quality diamonds and tightly focused lasers\, we peer into our planet’s deepest engine. There\, we uncover how a cooling Earth overcame major energy crises by switching its fuel source\, thereby sustaining the magnetic shield that protects life.\n\nProfessor Ralf J. Spatzier\nGopal Prasad Collegiate Professor of Mathematics\n\nLecture Title: Symmetry In Geometry and Dynamics:\nThe Role of Intuition in Mathematics Research\n\nLecture Abstract: How does mathematics progress? And how do\nmathematicians actually make progress?\n\nWe are actually making lots of progress\, and I hope I can\nconvince you! But there are many ways we achieve this. Let\nme tell you about it in my own case.\nLeading Question: How do I make progress?\n1: By working hard long hours in my office with my computer?\n2: By doing difficult calculations with pen and paper?\n3: By going for a walk?\nI will try to illuminate how fundamental progress happened in my\nown limited experience. It involved grand ideas such as\n“symmetry” and how it limits possibilities. A classical example\nare the Platonic solids\, i.e. convex regular polyhedra with\ncongruent faces (symmetry). Turns out there are only five.\nWhen a few mild harmless assumptions greatly limit the possible\nobjects and even completely determine a system\, we speak of\n“RIGIDITY”\, just as in the case of the platonic solids.\nIn my own research\, symmetry is an overriding principle\, leading\nto rigidity in geometry. As it happened - and after many walks -\nthis also inspired ideas for rigidity in dynamical systems with\nsymmetry.\nSymmetry and extremal properties have played a major role in\nmathematics for a long time. While I will start to discuss this in\n\nthe context of some Riemannian geometry\, I will emphasize more\nrecent work on dynamical systems. Here symmetry expresses\nitself in terms of having non-trivially commuting maps or flows\,\nor an action of some group with complicated relations. Case in\npoint are actions of semisimple Lie groups\, especially ones of\nhigher rank\, e.g. SL(n\,R) with n at least 3. This is the so-called\nZimmer program. I will hint at some recent highlights.\n\nProfessor Nicholas A. Valentino\nDonald R. Kinder Collegiate Professor of Political Science\n\nLecture Title: The Big River: Explorations on the Role of Race in Politics\n\nLecture Abstract: My work owes most of its inspiration to the Symbolic Politics Theory proposed originally by David Sears at UCLA in the 1980s and further developed by Donald Kinder here at Michigan. The central claim of that theory is that symbolic predispositions- partisanship\, racial identity\, prejudice- and the deeply rooted emotions associated with these attachments drive many political choices and behavior much more powerfully than material self-interest. The theory originally focused on explaining policy opinions and behaviors with direct and explicit consequences for the distribution of rights and resources between racial groups in America\, and even more narrowly on the black-white divides over affirmative action and the election of African American candidates. One of my main goals has been to broaden this exploration to political domains explicitly unrelated to race\, such as crime\, immigration\, government surveillance\, electoral laws\, and so on. In general\, my collaborators and I find that deeply rooted racial attitudes\, identities\, and emotional processes profoundly impact nearly every domain of politics. \n\nIf you are unable to join us in person\, please click the link below to join the webinar.\nJoin from PC\, Mac\, iPad\, or Android:\nhttps://umich.zoom.us/j/95783933422\n\nPhone one-tap:\n+13092053325\,\,95783933422# US\n+13126266799\,\,95783933422# US (Chicago)\n\nJoin via audio:\n+1 309 205 3325 US\n+1 312 626 6799 US (Chicago)\n+1 646 876 9923 US (New York)\n+1 646 931 3860 US\n+1 301 715 8592 US (Washington DC)\n+1 305 224 1968 US\n+1 719 359 4580 US\n+1 253 205 0468 US\n+1 253 215 8782 US (Tacoma)\n+1 346 248 7799 US (Houston)\n+1 360 209 5623 US\n+1 386 347 5053 US\n+1 507 473 4847 US\n+1 564 217 2000 US\n+1 669 444 9171 US\n+1 669 900 6833 US (San Jose)\n+1 689 278 1000 US\n+1 778 907 2071 Canada\n+1 780 666 0144 Canada\n+1 204 272 7920 Canada\n+1 438 809 7799 Canada\n+1 587 328 1099 Canada\n+1 647 374 4685 Canada\n+1 647 558 0588 Canada\nWebinar ID: 957 8393 3422\nInternational numbers available: https://umich.zoom.us/u/azI9zGShx
UID:145841-21897942@events.umich.edu
URL:https://events.umich.edu/event/145841
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Lecture,AEM Featured
LOCATION:Weiser Hall - 10th Floor
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260323T113519
DTSTART;TZID=America/Detroit:20260417T130000
DTEND;TZID=America/Detroit:20260417T140000
SUMMARY:Workshop / Seminar:Type theory seminar: Type inference
DESCRIPTION:This is a learning seminar on dependent type theory. We are currently following Peter Selinger's lecture notes on the lambda calculus (available online here: https://www.mathstat.dal.ca/~selinger/papers/lambdanotes.pdf). This talk will cover chapter 9 of Selinger's notes\, on algorithms for type checking and type inference in the simply typed lambda calculus.
UID:146918-21899791@events.umich.edu
URL:https://events.umich.edu/event/146918
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Mathematics
LOCATION:East Hall - 3088
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260331T111638
DTSTART;TZID=America/Detroit:20260417T143000
DTEND;TZID=America/Detroit:20260417T153000
SUMMARY:Workshop / Seminar:A positive combinatorial formula for the double Edelman–Greene coefficients (Combinatorics seminar)
DESCRIPTION:Lam\, Lee\, and Shimozono introduced the double Stanley symmetric functions in their study of the equivariant geometry of the affine Grassmannian. They proved that the associated double Edelman– Greene coefficients\, the double Schur expansion of these functions\, are positive\, a result later refined by Anderson. They further asked for a combinatorial proof of this positivity. We provide the first such proof\, together with a combinatorial formula that manifests the finer positivity established by Anderson. Our formula is built from two combinatorial models: bumpless pipedreams and increasing chains in the Bruhat order. The proof relies on three key ingredients: a correspondence between these two models\, a natural subdivision of bumpless pipedreams\, and a symmetry property of increasing chains. This talk is based on joint work with Jack Chou.
UID:143962-21894327@events.umich.edu
URL:https://events.umich.edu/event/143962
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Mathematics
LOCATION:East Hall - 3866
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260330T103539
DTSTART;TZID=America/Detroit:20260417T150000
DTEND;TZID=America/Detroit:20260417T160000
SUMMARY:Lecture / Discussion:AIM Seminar:  Mean-Field Dynamics of Transformers: From Modeling to Clustering and Critical Scaling
DESCRIPTION:Abstract:  Self-attention is a central component of modern transformer architectures and is one of the key mechanisms behind the success of Large Language Models. Understanding its mathematical structure is therefore essential for explaining how these models process information and learn useful representations. In this talk\, I will describe an interacting-particle perspective on self-attention\, which has been developed in recent work by several authors as a fruitful framework for analyzing transformer dynamics. Unlike the classical mean-field theory for deep neural networks\, where the particles are neurons and the mean-field limit is tied to overparameterization\, here the particles are tokens whose representations evolve through attention interactions. This mean-field perspective leads to a new viewpoint on transformer dynamics\, with consequences for both theory and practice. In particular\, I will explain how it helps illuminate clustering behavior in deep transformers and the critical temperature scaling laws that arise in many frontier models.\n\nContact:  Zhiyan Ding
UID:141904-21889619@events.umich.edu
URL:https://events.umich.edu/event/141904
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Mathematics
LOCATION:East Hall - 1084
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260409T094831
DTSTART;TZID=America/Detroit:20260417T160000
DTEND;TZID=America/Detroit:20260417T170000
SUMMARY:Workshop / Seminar:On the structure of infinite sumsets in the integers
DESCRIPTION:Abstract :\nA long-standing problem in combinatorial number theory\, posed by Erdős and Graham\, asks for a classification of all integer subsets A and B for which d(A+B)=d(A)+d(B)\, where d(.) denotes the natural density in the integers. We will discuss the history and motivation of this problem\, its connections to ergodic theory\, as well as recent progress toward its resolution. This talk is based on joint work with Ethan Ackelsberg.
UID:147560-21901266@events.umich.edu
URL:https://events.umich.edu/event/147560
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Mathematics
LOCATION:East Hall - 3866
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260415T231203
DTSTART;TZID=America/Detroit:20260420T160000
DTEND;TZID=America/Detroit:20260420T170000
SUMMARY:Workshop / Seminar:GLNT:  Ind-Banach approach to Grothendieck duality in analytic geometry
DESCRIPTION:Abstract: Grothendieck duality for schemes can be viewed as a generalization of Serre duality to quasi-coherent sheaves. Since Serre duality also exists in analytic geometry\, it is natural to ask if there is also an analytic version of Grothendieck duality. I will explain how to formulate and prove Grothendieck duality in rigid-analytic geometry\, including an identification of the dualizing complex with volume forms. The main innovation of our approach lies in the underlying functional analysis\, which uses the Ind-category of Banach spaces rather than condensed mathematics. Nevertheless\, our overall strategy is strongly inspired by that of Clausen—Scholze in the complex setting.
UID:146472-21899148@events.umich.edu
URL:https://events.umich.edu/event/146472
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Mathematics
LOCATION:East Hall - 4096
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260415T220110
DTSTART;TZID=America/Detroit:20260420T160000
DTEND;TZID=America/Detroit:20260420T170000
SUMMARY:Workshop / Seminar:Large-Degree Asymptotics of Rational Painleve-V Functions
DESCRIPTION:The Painleve-V equation has two families of rational solutions\, one built from generalized Umemura polynomials and one built from generalized Laguerre polynomials.  These solutions have drawn interest because they arise in a variety applications and because their zeros and poles exhibit remarkable geometric structures.  We formulate Riemann-Hilbert problems for both families and obtain large-degree asymptotic results using nonlinear steepest-descent analysis.  Results for the generalized Umemura solutions are joint with Matthew Satter of the University of Michigan and the results for the generalized Laguerre solutions are joint with Trevor Johnson of the University of Cincinnati.
UID:146065-21898330@events.umich.edu
URL:https://events.umich.edu/event/146065
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Seminar,Mathematics
LOCATION:East Hall - EH 1866
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260326T121039
DTSTART;TZID=America/Detroit:20260421T153000
DTEND;TZID=America/Detroit:20260421T160000
SUMMARY:Ceremony / Service:Celebratory Tea- Mathematical Association of America (MAA) Michigan Section Awards
DESCRIPTION:Congratulations to 2026 Mathematical Association of America (MAA) Michigan Section Award recipients:\nDenise Lee earned the Distinguished Teaching Award \n(Teaching Professor in Mathematics for the Comprehensive Studies Program Bridge Scholars)\nand\nStephen DeBacker earned the Distinguished Service Award \n(Mahendra Parekh Director of the Center for Inquiry Based Learning and Arthur F. Thurnau Professor of Mathematics) \n\nPlease celebrate their accomplishment at a special tea on April 21st at 3:30 pm in the Graduate Student and Faculty Lounge\, remarks at 3:45 pm.
UID:147093-21900373@events.umich.edu
URL:https://events.umich.edu/event/147093
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Mathematics
LOCATION:East Hall - 2075
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20251119T183929
DTSTART;TZID=America/Detroit:20260421T160000
DTEND;TZID=America/Detroit:20260421T170000
SUMMARY:Lecture / Discussion:Application workshop
DESCRIPTION:TBA
UID:140091-21886601@events.umich.edu
URL:https://events.umich.edu/event/140091
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Mathematics
LOCATION:East Hall - 1360
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260416T092712
DTSTART;TZID=America/Detroit:20260422T123000
DTEND;TZID=America/Detroit:20260422T140000
SUMMARY:Workshop / Seminar:Making Mathematics Documents Accessible
DESCRIPTION:Guidance on how to make documents containing mathematics accessible featuring:\nGavin LaRose\, Mathematics Teaching Professor\, Karen Rhea Collegiate Lecturer\, Instructional Technology Program Manager\, and Introductory Program Director\, along with \nStephanie Rosen\, ITS Accessibility Unit Assistant Director\nBrandon Werner\, Digital Accessibility Analyst\, ITS Accessibility Unit \n\nThis will be held via Zoom: https://myumi.ch/mRj71
UID:147775-21901956@events.umich.edu
URL:https://events.umich.edu/event/147775
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Mathematics,Information and Technology
LOCATION:Off Campus Location
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260415T154150
DTSTART;TZID=America/Detroit:20260422T130000
DTEND;TZID=America/Detroit:20260422T143000
SUMMARY:Workshop / Seminar:Marjorie Lee Browne Scholars Mini-Symposium
DESCRIPTION:You are invited to attend a mini-symposium featuring the 14th cohort of MLB scholars completing the program this month. Each MLB scholar will give a 25-minute presentation of their research and have 5 minutes to answer questions from the audience. The MLB mini-symposium will take place on Wednesday\, April 22 from 1:00-2:30pm in 1068EH. Food will be provided during the talks.\n\nPlease RSVP by Sunday\, April 19 so that we know how many people to expect and can order food accordingly. https://forms.gle/nY719sLt3CdtovG38\n---\nIan Augsburger: Efficient Learning of Dirichlet Simplex Models with Asymmetric Concentration Parameters\n\nAbstract: Learning latent topic or mixture models governed by Dirichlet distributions is a central problem in unsupervised learning\, with applications ranging from topic modeling to population genetics and biological mixture analysis. Existing approaches—most notably MCMC- and variational-based methods—are often computationally expensive\, sensitive to initialization\, and particularly brittle in regimes where the Dirichlet concentration parameters are asymmetric or highly skewed.\n \nIn this work\, we study the problem of efficiently learning Dirichlet Simplex Models\, with special emphasis on the practically important but underexplored setting of asymmetric concentration parameters and regimes where individual components dominate the mixture. We show that the second-order moment structure of the observed data encodes the simplex geometry up to an orthogonal transformation on a low-dimensional subspace. Exploiting this structure\, we reduce parameter recovery to the problem of learning an orthogonal map.\n \nBy introducing a geometry-aware metric aligned with the intrinsic covariance of the data\, we obtain a simplified optimization scheme over the orthogonal group that is both stable and fast. Our approach leverages the polytope geometry of the simplex to enable parallelization over symmetry classes\, significantly accelerating convergence. Empirically\, the resulting algorithm performs remarkably well for asymmetric Dirichlet models\, where standard MCMC-based methods often struggle. We view this framework as a step toward efficient\, geometry-driven learning algorithms for broader classes of latent variable models.\n---\nAmmar Eltigani: Random Matrix Theory for High-Dimensional Machine Learning\n \nAbstract: The modern high-dimensional regime—where the number of samples and their dimensions grow proportionally—is ubiquitous in machine learning applications such as finance\, healthcare\, wireless communications\, neuroscience\, and computer vision. Despite the remarkable success of large-scale models in this setting\, the underlying mathematical reasons remain only partially understood. Why\, for instance\, do overparameterized neural networks generalize well\, and why do their risk curves exhibit double descent?\n \nThis expository talk begins by examining how low-dimensional intuitions fail in high dimensions\, focusing on covariance estimation. We then introduce the Marčenko–Pastur law\, which describes the limiting spectral distribution of sample covariance matrices for white noise. Finally\, we discuss its generalization to arbitrary covariances and apply it to ridgeless linear regression\, deriving a theoretical risk curve that displays the double-descent phenomenon.\n---\nNicholas Simafranca: Learning Low-Dimensional Representations with Heteroscedastic Data Sources\n\nAbstract: Principal component analysis (PCA) is a fundamental method for dimensionality reduction\, but it treats all samples uniformly and can perform poorly when data come from sources with unequal noise levels. In this talk\, I begin with the classical and probabilistic viewpoints of PCA\, introducing probabilistic PCA (PPCA) as a latent-variable model for low-dimensional structure. I then discuss HePPCAT\, a heteroscedastic extension of PPCA that allows different groups of samples to have different noise variances. Unlike classical PCA\, the resulting maximum-likelihood problem is nonconvex and is not solved by a single eigendecomposition. I will describe how this problem can be approached through alternating majorization-minimization and explain how a Riemannian block MM framework gives a route to proving convergence of a proximalized HePPCAT algorithm to a stationary point.
UID:147779-21901962@events.umich.edu
URL:https://events.umich.edu/event/147779
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Mathematics,Graduate Students
LOCATION:East Hall - 1068
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260410T162654
DTSTART;TZID=America/Detroit:20260423T100000
DTEND;TZID=America/Detroit:20260423T120000
SUMMARY:Presentation:A Novel Construction for $\mathfrak{sl}_4$ Webs
DESCRIPTION:Abstract: The standard monomial basis for $\mathfrak{sl}_r$-invariant polynomials is indexed by rectangular standard Young tableaux\, but it lacks rotational invariance. Although promotion induces a cyclic action on tableaux\, a more symmetric basis is desirable. For $\mathfrak{sl}_2$ and $\mathfrak{sl}_3$\, such bases are given by non-crossing matchings and non-elliptic $\mathfrak{sl}_3$ webs\, respectively. In the case of $\mathfrak{sl}_4$\, a web basis has recently been constructed using hourglass plabic graphs\, but this approach relies on intricate growth rules and does not readily generalize to higher rank.\n\nIn this thesis\, we introduce a simpler and more direct construction of $\mathfrak{sl}_4$ webs. Starting from a rectangular four-row standard Young tableau\, we construct the associated web by stacking the $\mathfrak{sl}_3$ webs corresponding to the top three rows and the bottom three rows\, identifying along the non-crossing matching determined by the middle two rows. We prove that the resulting web is fully reduced and lies in the same equivalence class as the $\mathfrak{sl}_4$ web obtained via growth rules.
UID:147638-21901454@events.umich.edu
URL:https://events.umich.edu/event/147638
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Graduate Students,Graduate,Dissertation,Mathematics
LOCATION:East Hall - 3096
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260218T190733
DTSTART;TZID=America/Detroit:20260508T143000
DTEND;TZID=America/Detroit:20260508T153000
SUMMARY:Workshop / Seminar:Combinatorics seminar -- TBA
DESCRIPTION:TBA
UID:145710-21897721@events.umich.edu
URL:https://events.umich.edu/event/145710
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Mathematics
LOCATION:East Hall - 3866 East Hall
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260407T085603
DTSTART;TZID=America/Detroit:20260602T080000
DTEND;TZID=America/Detroit:20260602T170000
SUMMARY:Conference / Symposium:2026 Byrne Conference on Stochastic Analysis in Finance and Insurance
DESCRIPTION:Attendance is free\, but online registration is required for all attendees who are not speakers. sites.google.com/umich.edu/byrneconference2026\n\nSpeakers \nAgostino Capponi (Columbia University)\nRama Cont (University of Oxford)\nGiorgio Ferrari (Bielefeld University)\nAnran Hu (Columbia University)\nKasper Larsen (Rutgers University)\nMartin Larsson (Carnegie Mellon University)\nJin Ma (University of Southern California)\nAlpar Meszaros (Durham University)\nSergey Nadtochiy (Carnegie Mellon University)\nJustin Sirignano (University of Oxford)\nRenyuan Xu (Stanford University)\nPhillip Yam (Chinese University of Hong Kong)\nThaleia Zariphopoulou (University of Texas at Austin)\nYufei Zhang (Imperial College London)\n\nVenue \nAll the talks will be held in Helmut Stern Auditorium at University of Michigan Museum of Art\, located at 525 S State St\, Ann Arbor\, MI 48109.\n\nOrganizers \nErhan Bayraktar (University of Michigan)\nAsaf Cohen (University of Michigan)\nIbrahim Ekren (University of Michigan)\n\nAcknowledgement\nThis meeting is partially funded by the Department of Mathematics\, Jack Byrne Center for Financial Mathematics and Risk Management\, and Curtis E. Huntington Honorary fund.
UID:144581-21895511@events.umich.edu
URL:https://events.umich.edu/event/144581
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Networking,Mathematics,In Person,conference
LOCATION:Museum of Art - Helmut Stern Auditorium
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260407T085603
DTSTART;TZID=America/Detroit:20260603T080000
DTEND;TZID=America/Detroit:20260603T170000
SUMMARY:Conference / Symposium:2026 Byrne Conference on Stochastic Analysis in Finance and Insurance
DESCRIPTION:Attendance is free\, but online registration is required for all attendees who are not speakers. sites.google.com/umich.edu/byrneconference2026\n\nSpeakers \nAgostino Capponi (Columbia University)\nRama Cont (University of Oxford)\nGiorgio Ferrari (Bielefeld University)\nAnran Hu (Columbia University)\nKasper Larsen (Rutgers University)\nMartin Larsson (Carnegie Mellon University)\nJin Ma (University of Southern California)\nAlpar Meszaros (Durham University)\nSergey Nadtochiy (Carnegie Mellon University)\nJustin Sirignano (University of Oxford)\nRenyuan Xu (Stanford University)\nPhillip Yam (Chinese University of Hong Kong)\nThaleia Zariphopoulou (University of Texas at Austin)\nYufei Zhang (Imperial College London)\n\nVenue \nAll the talks will be held in Helmut Stern Auditorium at University of Michigan Museum of Art\, located at 525 S State St\, Ann Arbor\, MI 48109.\n\nOrganizers \nErhan Bayraktar (University of Michigan)\nAsaf Cohen (University of Michigan)\nIbrahim Ekren (University of Michigan)\n\nAcknowledgement\nThis meeting is partially funded by the Department of Mathematics\, Jack Byrne Center for Financial Mathematics and Risk Management\, and Curtis E. Huntington Honorary fund.
UID:144581-21895512@events.umich.edu
URL:https://events.umich.edu/event/144581
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Networking,Mathematics,In Person,conference
LOCATION:Museum of Art - Helmut Stern Auditorium
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260407T085603
DTSTART;TZID=America/Detroit:20260604T080000
DTEND;TZID=America/Detroit:20260604T170000
SUMMARY:Conference / Symposium:2026 Byrne Conference on Stochastic Analysis in Finance and Insurance
DESCRIPTION:Attendance is free\, but online registration is required for all attendees who are not speakers. sites.google.com/umich.edu/byrneconference2026\n\nSpeakers \nAgostino Capponi (Columbia University)\nRama Cont (University of Oxford)\nGiorgio Ferrari (Bielefeld University)\nAnran Hu (Columbia University)\nKasper Larsen (Rutgers University)\nMartin Larsson (Carnegie Mellon University)\nJin Ma (University of Southern California)\nAlpar Meszaros (Durham University)\nSergey Nadtochiy (Carnegie Mellon University)\nJustin Sirignano (University of Oxford)\nRenyuan Xu (Stanford University)\nPhillip Yam (Chinese University of Hong Kong)\nThaleia Zariphopoulou (University of Texas at Austin)\nYufei Zhang (Imperial College London)\n\nVenue \nAll the talks will be held in Helmut Stern Auditorium at University of Michigan Museum of Art\, located at 525 S State St\, Ann Arbor\, MI 48109.\n\nOrganizers \nErhan Bayraktar (University of Michigan)\nAsaf Cohen (University of Michigan)\nIbrahim Ekren (University of Michigan)\n\nAcknowledgement\nThis meeting is partially funded by the Department of Mathematics\, Jack Byrne Center for Financial Mathematics and Risk Management\, and Curtis E. Huntington Honorary fund.
UID:144581-21895513@events.umich.edu
URL:https://events.umich.edu/event/144581
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Networking,Mathematics,In Person,conference
LOCATION:Museum of Art - Helmut Stern Auditorium
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260310T061642
DTSTART;TZID=America/Detroit:20260908T160000
DTEND;TZID=America/Detroit:20260908T170000
SUMMARY:Lecture / Discussion:Colloquium: TBA
DESCRIPTION:TBA
UID:146386-21898980@events.umich.edu
URL:https://events.umich.edu/event/146386
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Mathematics
LOCATION:East Hall - 1360
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20251020T001438
DTSTART;TZID=America/Detroit:20260923T153000
DTEND;TZID=America/Detroit:20260923T170000
SUMMARY:Workshop / Seminar:Algebraic Geometry Seminar: TBA
DESCRIPTION:TBA
UID:140882-21887766@events.umich.edu
URL:https://events.umich.edu/event/140882
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Mathematics
LOCATION:East Hall - 4096
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260407T124520
DTSTART;TZID=America/Detroit:20261007T160000
DTEND;TZID=America/Detroit:20261007T170000
SUMMARY:Workshop / Seminar:Robust and Risk-Sensitive Acceleration in Gradient Methods
DESCRIPTION:First-order methods such as gradient descent (GD) are foundational in optimization. In unconstrained problems with exact gradients\, momentum-based methods—most notably Nesterov’s accelerated gradient descent (AGD) and Polyak’s heavy-ball (HB) method—achieve faster convergence by improving dependence on the condition number. However\, this acceleration comes at a cost: momentum amplifies gradient noise\, making these methods less robust than GD under standard parameter choices and requiring more accurate gradient estimates to attain comparable accuracy. Similar challenges arise in convex and nonconvex min–max optimization.\nMotivated by applications in machine learning\, this talk studies unconstrained and min–max optimization under deterministic\, unbiased stochastic\, and biased stochastic gradient noise. I will present new algorithms that achieve optimal robustness against different noise types\, using control-theoretic tools such as the H_2​ norm\, the H_∞​ norm\, and the risk-sensitivity index\, together with coherent risk measures. I will also discuss worst-case noise constructions and high-probability convergence guarantees. This perspective builds a bridge between optimization and robust control theory and enables the design of noise-robust and risk-sensitive accelerated methods.\nRepresentative Publications:\nM. Gürbüzbalaban\, Y. Syed\, N. S. Aybat\, Accelerated gradient methods with biased gradient estimates: Risk sensitivity\, high-probability guarantees\, and large deviation bounds\, Journal of Nonlinear and Variational Analysis\, 2026 (Special Issue). https://jnva.biemdas.com/archives/2927\nM. Gürbüzbalaban\, Robustly Stable Accelerated Momentum Methods with a Near-Optimal L_2​ Gain and H_∞​ Performance\, Mathematics of Operations Research\, 2025.\nhttps://pubsonline.informs.org/doi/abs/10.1287/moor.2023.0321\nB. Can and M. Gürbüzbalaban\, Entropic risk-averse generalized momentum methods\, Optimization Methods and Software\, 2025. https://www.tandfonline.com/doi/abs/10.1080/10556788.2025.2549356
UID:141373-21888712@events.umich.edu
URL:https://events.umich.edu/event/141373
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Mathematics
LOCATION:East Hall - 1360
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20260310T125925
DTSTART;TZID=America/Detroit:20261021T153000
DTEND;TZID=America/Detroit:20261021T165000
SUMMARY:Workshop / Seminar:Algebraic Geometry Seminar: TBA
DESCRIPTION:TBA
UID:146416-21899058@events.umich.edu
URL:https://events.umich.edu/event/146416
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Mathematics
LOCATION:East Hall
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20251028T082420
DTSTART;TZID=America/Detroit:20261110T160000
DTEND;TZID=America/Detroit:20261110T170000
SUMMARY:Lecture / Discussion:2026 Van Eenan Lectures: Ronnie Sircar
DESCRIPTION:TBA
UID:141176-21888297@events.umich.edu
URL:https://events.umich.edu/event/141176
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Mathematics
LOCATION:East Hall - 1360
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20251028T082420
DTSTART;TZID=America/Detroit:20261111T160000
DTEND;TZID=America/Detroit:20261111T170000
SUMMARY:Lecture / Discussion:2026 Van Eenan Lectures: Ronnie Sircar
DESCRIPTION:TBA
UID:141176-21888405@events.umich.edu
URL:https://events.umich.edu/event/141176
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Mathematics
LOCATION:East Hall
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20251028T082420
DTSTART;TZID=America/Detroit:20261112T160000
DTEND;TZID=America/Detroit:20261112T170000
SUMMARY:Lecture / Discussion:2026 Van Eenan Lectures: Ronnie Sircar
DESCRIPTION:TBA
UID:141176-21888406@events.umich.edu
URL:https://events.umich.edu/event/141176
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Mathematics
LOCATION:East Hall
CONTACT:
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END:VCALENDAR