Events
retrieve:
Return the details about the given Memento id.
list:
List all Memento objects.
GET /api/v1/mementos/288/events/?format=api&ordering=-fr_label
{ "count": 4, "next": null, "previous": null, "results": [ { "id": 71270, "title": "Emphasising extreme events when evaluating probabilistic forecasts", "slug": "emphasising-extreme-events-when-evaluating-probabi", "event_url": "https://memento.epfl.ch/event/emphasising-extreme-events-when-evaluating-probabi", "visual_url": "https://memento.epfl.ch/image/32626/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32626/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32626/max-size.jpg", "lang": "en", "start_date": "2026-04-17", "end_date": "2026-04-17", "start_time": "15:15:00", "end_time": "16:15:00", "description": "<p>It is becoming increasingly common to issue forecasts that are probabilistic, in the form of probability distributions over all possible outcomes. To generate good probabilistic forecasts, we must first be able to evaluate how good a forecast is. The evaluation of probabilistic forecasts focuses on two aspects of forecast performance: forecast accuracy and forecast calibration. Forecast accuracy refers to how 'close' the forecast is to the corresponding observation, which can be quantified using proper scoring rules. Forecast calibration considers whether probabilistic forecasts are trustworthy. While most scoring rules and calibration checks treat all possible outcomes equally, some outcomes are often of more interest than others when evaluating forecasts, and one could argue that these outcomes should therefore be emphasised during forecast evaluation. For example, extreme outcomes typically lead to the largest impacts on forecast users, making accurate and calibrated forecasts for these outcomes particularly valuable. In this talk, we discuss methods to focus on particular outcomes when evaluating probabilistic forecasts. We review weighted scoring rules, which allow practitioners to incorporate a weight function into conventional scoring rules when calculating forecast accuracy, and we demonstrate that the theory underlying weighted scoring rules can readily be extended to forecast calibration. Using this, we introduce methods to evaluate the calibration of probabilistic forecasts for extreme events.<br>\r\n </p>", "image_description": "", "creation_date": "2026-03-02T09:46:57", "last_modification_date": "2026-04-13T10:35:58", "link_label": "", "link_url": "https://www.epfl.ch/schools/sb/research/math/statistics-seminars/", "canceled": "False", "cancel_reason": "", "place_and_room": "CM 1 517", "url_place_and_room": "https://plan.epfl.ch/?room==CM%201%20517", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "Sam Allen, KIT", "organizer": "Rajita Chandak", "contact": "Maroussia Schaffner", "is_internal": "False", "theme": "", "vulgarization": { "id": 2, "fr_label": "Public averti", "en_label": "Informed public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/119928/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/5/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/7/?format=api", "https://memento.epfl.ch/api/v1/mementos/288/?format=api" ] }, { "id": 71581, "title": "Bringing Closure to False Discovery Rate Control: A General Principle for Multiple Testing", "slug": "bringing-closure-to-false-discovery-rate-control-a", "event_url": "https://memento.epfl.ch/event/bringing-closure-to-false-discovery-rate-control-a", "visual_url": "https://memento.epfl.ch/image/32916/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32916/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32916/max-size.jpg", "lang": "en", "start_date": "2026-04-24", "end_date": "2026-04-24", "start_time": "15:15:00", "end_time": "16:15:00", "description": "<p>We present a novel necessary and sufficient principle for multiple testing methods controlling an expected loss. This principle asserts that every such multiple testing method is a special case of a general closed testing procedure based on e-values. It generalizes the Closure Principle, known to underlie all methods controlling familywise error and tail probabilities of false discovery proportions, to a large class of error rates -- in particular to the false discovery rate (FDR). By writing existing methods as special cases of this procedure, we can achieve uniform improvements, as we demonstrate for the e-Benjamini-Hochberg and the Benjamini-Yekutieli procedures, and the self-consistent method of Su (2018). We also show that methods derived using our novel e-Closure Principle generally control their error rate not just for one rejected set, but simultaneously over many, allowing post hoc flexibility for the researcher.<br>\r\nMoreover, we show that because all multiple testing methods for all error metrics are derived from the same procedure, researchers may even choose the error metric post hoc. Under certain conditions, this flexibility even extends to post hoc choice of the nominal error rate.<br>\r\n<br>\r\n<br>\r\n </p>", "image_description": "", "creation_date": "2026-04-13T13:24:48", "last_modification_date": "2026-04-13T13:27:04", "link_label": "", "link_url": "https://www.epfl.ch/schools/sb/research/math/statistics-seminars/", "canceled": "False", "cancel_reason": "", "place_and_room": "CM 1 517", "url_place_and_room": "https://plan.epfl.ch/?room==CM%201%20517", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "Jelle Goeman, University of Leiden", "organizer": "Rajita Chandak", "contact": "Maroussia Schaffner", "is_internal": "False", "theme": "", "vulgarization": { "id": 2, "fr_label": "Public averti", "en_label": "Informed public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/120359/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/7/?format=api", "https://memento.epfl.ch/api/v1/mementos/288/?format=api" ] }, { "id": 71589, "title": "TBA", "slug": "tba-131", "event_url": "https://memento.epfl.ch/event/tba-131", "visual_url": "https://memento.epfl.ch/image/32922/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32922/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32922/max-size.jpg", "lang": "en", "start_date": "2026-04-30", "end_date": "2026-04-30", "start_time": "16:15:00", "end_time": "17:15:00", "description": "<p>tba<br>\r\n<br>\r\n </p>", "image_description": "", "creation_date": "2026-04-14T13:15:20", "last_modification_date": "2026-04-14T13:19:36", "link_label": "", "link_url": "https://www.epfl.ch/schools/sb/research/math/statistics-seminars/", "canceled": "False", "cancel_reason": "", "place_and_room": "CM 1 517", "url_place_and_room": "https://plan.epfl.ch/?room==CM%201%20517", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "David Rossel, Universitat Pompeu Fabra (UPF) and Barcelona School of Economics (BSE). ", "organizer": "Rajita Chandak", "contact": "Maroussia Schaffner", "is_internal": "False", "theme": "", "vulgarization": { "id": 2, "fr_label": "Public averti", "en_label": "Informed public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/120372/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/288/?format=api" ] }, { "id": 70824, "title": "MoRAT: Mathematics of Randomized linear Algebra Techniques - Summer School 2026", "slug": "morat-mathematics-of-randomized-linear-algebra-t-2", "event_url": "https://memento.epfl.ch/event/morat-mathematics-of-randomized-linear-algebra-t-2", "visual_url": "https://memento.epfl.ch/image/32231/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32231/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32231/max-size.jpg", "lang": "en", "start_date": "2026-08-31", "end_date": "2026-09-04", "start_time": "10:00:00", "end_time": "12:00:00", "description": "<p>This summer school, organized by seven PhD students from EPFL and ETH Zurich, brings together leading researchers and postgraduate students. Participants will learn modern mathematical and probabilistic methods for linear algebra through lectures by experts in randomized numerical linear algebra. The program also includes networking opportunities with fellow participants, lecturers, and industry representatives.<br>\r\n<br>\r\nThe summer school takes place in a modern hotel in the middle of the historic lakeside town of Murten/Morat. Accommodation, food, and all other costs during the summer school will be covered. All participants are charged a small registration fee.<br>\r\n<br>\r\n<a href=\"http://morat2026.epfl.ch/registration\">Registrations</a> can be made until February 15 and are primarily open to doctoral students from the ETH domain, with limited exceptions for international and master’s students. It is possible to obtain 2 ECTS credits for attending MoRAT.</p>", "image_description": "", "creation_date": "2026-01-09T14:57:01", "last_modification_date": "2026-01-09T17:11:09", "link_label": "morat2026.epfl.ch", "link_url": "https://morat2026.epfl.ch/", "canceled": "False", "cancel_reason": "", "place_and_room": "Hotel Murtenhof & Krone", "url_place_and_room": "", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "Daniel Kressner (EPFL), Laura Grigori (EPFL/PSI), Alice Cortinovis (Università di Pisa), Afonso S. Bandeira (ETH Zurich), Yuji Nakatsukasa (Oxford), Hussam al Daas (Rutherford Appleton Laboratory)", "organizer": "<a href=\"http://morat2026.epfl.ch/organisers\">morat2026.epfl.ch/organisers</a>", "contact": "<a href=\"mailto:[email protected]\">[email protected]</a>", "is_internal": "False", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 1, "fr_label": "Sur inscription", "en_label": "Registration required" }, "keywords": "randomized numerical linear algebra, randomized algorithms, numerical analysis", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/119255/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/5/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/7/?format=api", "https://memento.epfl.ch/api/v1/mementos/27/?format=api", "https://memento.epfl.ch/api/v1/mementos/246/?format=api", "https://memento.epfl.ch/api/v1/mementos/288/?format=api", "https://memento.epfl.ch/api/v1/mementos/318/?format=api" ] } ] }
