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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 […]

  • 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, […]

  • 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 […]

  • 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 […]

  • 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 […]

  • 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 […]