[
  {
    "guid": "ps_events:12856:delta:0",
    "startTime": "2026-11-17T16:30:00",
    "endTime": "2026-11-17T17:30:00",
    "urlRef": "https://orfe.princeton.edu/events/2026/pablo-parrilo-massachusetts-institute-technology",
    "series": "ORFE Department Colloquia",
    "speaker": "Pablo Parrilo\\, Massachusetts Institute of Technology",
    "location": {
      "name": "Sherrerd Hall",
      "id": "",
      "detail": "101"
    },
    "title": "An ORFE Department Colloquia Talk",
    "cancelled": "",
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    "rawEventDetails": "<div class=\"align-right field--type-entity-reference-media field field--name-field-ps-featured-image field--type-entity-reference field--label-hidden field__item\"><figure class=\"media--type-image media--view-mode-ps-large-freeform figure\">\n<img alt=\"Pablo Parrilo\" class=\"image-style-freeform-750w\" height=\"801\" loading=\"lazy\" src=\"/sites/g/files/toruqf1286/files/styles/freeform_750w/public/2026-09/PabloParrilo.jpg?itok=OrinFjnx\" width=\"568\"/>\n</figure>\n</div>\n<div class=\"field--type-entity-reference-taxonomy-term field field--name-field-ps-events-category field--type-entity-reference field--label-above\">\n<div class=\"field__label\">Event Category</div>\n<div class=\"field__items\">\n<div class=\"tid-111 field__item\">ORFE Department Colloquia</div>\n</div>\n</div>",
    "newsletterEdition": "2026-11-16"
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  {
    "guid": "ps_events:12786:delta:0",
    "startTime": "2026-11-19T16:30:00",
    "endTime": "2026-11-19T17:30:00",
    "urlRef": "https://orfe.princeton.edu/events/2026/sinho-chewi-yale-university",
    "series": "Optimization Seminar",
    "content": "Abstract: In non-convex full batch training\\, we often observe that optimization happens at the edge of stability: the iterates are oscillatory\\, and the sharpness (largest eigenvalue of the Hessian) hovers at the boundary between instability and stability. We describe a continuous-time model for the dynamics in this regime\\, which we call the rod flow\\, and explain its relationship with the central flow introduced by Cohen et al. (2024)\\, as well as with the edge coupling functional introduced by Litman (2026).&nbsp\\;",
    "speaker": "Sinho Chewi\\, Yale University",
    "location": {
      "name": "Sherrerd Hall",
      "id": "",
      "detail": "101"
    },
    "title": "Continuous-time models and variational structure for the edge of stability",
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    "rawEventDetails": "<h2 class=\"details\">Details</h2>\n<div class=\"clearfix text-formatted field field--name-field-ps-body field--type-text-long field--label-visually_hidden\">\n<div class=\"field__label visually-hidden\">Event Description</div>\n<div class=\"field__item\"><div class=\"tex2jax_process\"><p><strong>Abstract: </strong>In non-convex full batch training, we often observe that optimization happens at the edge of stability: the iterates are oscillatory, and the sharpness (largest eigenvalue of the Hessian) hovers at the boundary between instability and stability. We describe a continuous-time model for the dynamics in this regime, which we call the rod flow, and explain its relationship with the central flow introduced by Cohen et al. (2024), as well as with the edge coupling functional introduced by Litman (2026).<br/>\u00a0</p></div></div>\n</div>\n<div class=\"field--type-entity-reference-taxonomy-term field field--name-field-ps-events-category field--type-entity-reference field--label-above\">\n<div class=\"field__label\">Event Category</div>\n<div class=\"field__items\">\n<div class=\"tid-106 field__item\">Optimization Seminar</div>\n</div>\n</div>",
    "newsletterEdition": "2026-11-16"
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]