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  • Incentives for data sharing in federated learning

    CMSA Room G10 CMSA, 20 Garden Street, Cambridge, MA, United States

    Member Seminar Speaker: Han Shao, Harvard CMSA Title: Incentives for data sharing in federated learning Abstract: Federated learning has recently emerged as a powerful approach for enabling collaboration across large populations of learning agents. However, agents may have incentives to defect from the collaboration—that is, to withdraw or contribute less data than expected—due to the […]

  • Thinking Outside the Ballot Box

    CMSA Room G10 CMSA, 20 Garden Street, Cambridge, MA, United States

    Colloquium Speaker: Ariel Procaccia, Harvard University Title: Thinking Outside the Ballot Box Abstract: How should one design unprecedented democratic processes capable of handling enormous sets of alternatives like all possible policies, bills, or statements? I argue that this challenge can be addressed through a framework called generative social choice, which fuses the rigor of social choice theory […]

  • Mathematical Physics and Algebraic Geometry Seminar

    Residues and homotopy Lie algebras

    Virtual

    Mathematical Physics and Algebraic Geometry Seminar Speaker: Zhenping Gui, Shanghai Institute for Mathematics and Interdisciplinary Sciences Title: Residues and homotopy Lie algebras Abstract: I will introduce the notion of a chiral operad for any compact Riemann surface. This operad consists of compositions of residue operations, which give rise to the Chevalley-Cousin complex and lead to the […]

  • Asset pricing with heterogeneous agents

    CMSA Room G10 CMSA, 20 Garden Street, Cambridge, MA, United States

    Member Seminar Speaker: Sergiy Verstyuk, Harvard CMSA Title: Asset pricing with heterogeneous agents Abstract: This talk will introduce the basics of continuous-time finance, discuss important existing theories and models, as well as present some new asset pricing results in a setting with many heterogeneous investors. (Joint work with Puskar Mondal.)  

  • Factorizations for data analysis

    CMSA Room G10 CMSA, 20 Garden Street, Cambridge, MA, United States

    Colloquium Speaker: Anna Seigal, Harvard University Title: Factorizations for data analysis Abstract: We can find structure in data by factoring it into building blocks, which should be interpretable for the context at hand. A classical example is principal component analysis (PCA), which uses the eigendecomposition of the covariance matrix to find axes of variation in a dataset. Starting from […]

  • Report on the Perimeter Institute Theory+AI Workshop

    CMSA 20 Garden Street Cambridge, Massachusetts 02138 United States

    Conference Reports Speaker: Hugo Cui, Harvard CMSA Title: Report on the Perimeter Institute Theory+AI Workshop Abstract: I will give a survey and brief summary of some of the talks given at the Theory+AI Workshop: Theoretical Physics for AI event organized by Perimeter Institute in April, on approaches to machine learning theory inspired from physics. Link : https://events.perimeterinstitute.ca/event/993/

  • Mathematical Physics and Algebraic Geometry Seminar

    Resurgence, number theory, and quantum mirror curves 

    CMSA Room G10 CMSA, 20 Garden Street, Cambridge, MA, United States

    Mathematical Physics and Algebraic Geometry Seminar Speaker: Claudia Rella (IHES) Title: Resurgence, number theory, and quantum mirror curves Abstract: Resurgence provides a powerful toolbox to access the non-perturbative sectors hidden within the divergent asymptotic series of quantum theories. Under some special assumptions, the non-perturbative data extracted via resurgent methods possess intrinsic number-theoretic properties that are deeply […]

  • Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining

    CMSA Room G10 CMSA, 20 Garden Street, Cambridge, MA, United States

    Member Seminar Speaker: Samy Jelassi, CMSA Title: Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining Abstract: Reinforcement Learning has become a crucial step in training state-of-the-art language models such as DeepSeek-R1 for solving mathematical problems. In this talk, I will first review the mechanisms of Reinforcement Learning fine-tuning. Then, I will present a systematic end-to-end […]

  • Mathematical Physics and Algebraic Geometry Seminar

    Higher Gauge Theory and Integrability

    Virtual

    Mathematical Physics and Algebraic Geometry Seminar Speaker: Joaquin Liniado, Instituto de Física La Plata Title: Higher Gauge Theory and Integrability Abstract: Integrable field theories are remarkable for possessing an infinite number of conserved quantities, which often allow for their exact solvability. In two dimensions, this structure is elegantly captured by the existence of a Lax […]