{ "129760-21864530": { "datetime_modified":"20250130T123143", "datetime_start":"20250115T150000", "datetime_end":"20250115T160000", "has_end_time":1, "date_start":"2025-01-15", "date_end":"2025-01-15", "time_start":"15:00:00", "time_end":"16:00:00", "time_zone":"America\/Detroit", "event_title":"International Students Career Series: How to Navigate Small Talk", "occurrence_title":"", "combined_title":"International Students Career Series: How to Navigate Small Talk", "event_subtitle":"", "event_type":"Careers \/ Jobs", "event_type_id":"2", "description":"In the United States, many people participate in what is called \"small talk\", where you make conversation with strangers or acquaintances about non-controversial topics, such as the weather, sports, or popular television shows. \u201cSmall talk\u201d is one of the ways in American culture to chat about harmless topics in order to establish a connection and start to build a friendship. For example, while waiting for an interview, in line at a M-Den, or in an elevator on campus, don\u2019t be startled if a stranger says something to you like, \u201cDid you watch the FootballGame last night? What a game!\u201d They might also make a joke about the long line you\u2019re both in, or comment on the current situation. If you areinterested in learning more about \"small talk\", now it\u2019s your chance to sign up for this workshop on how to navigate small talk as an international student. In this workshop, we will educate you on what is small talk and you will also have the chance to practice small talk with Peers!", "occurrence_notes":null, "guid":"129760-21864530@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/129760", "building_id":"", "building_name":"", "campus_maps_id":"", "room":"", "location_name":"", "has_livestream":0, "cost":"", "tags":[], "website":"", "sponsors":[ { "group_name":"University Career Center UCC", "group_id":"1140", "website":"http:\/\/careercenter.umich.edu" } ], "image_url":"", "styled_images":{ "event_thumb":"", "event_large":"", "event_large_2x":"", "event_large_lightbox":"", "group_thumb":"", "group_thumb_square":"", "group_large":"", "group_large_lightbox":"", "event_large_crop":"", "event_list":"", "event_list_2x":"", "event_grid":"", "event_grid_2x":"", "event_feature_large":"", "event_feature_thumb":"" }, "occurrence_count":1, "first_occurrence":21864530 } , "130777-21866873": { "datetime_modified":"20250108T212935", "datetime_start":"20250115T150000", "datetime_end":"20250115T160000", "has_end_time":1, "date_start":"2025-01-15", "date_end":"2025-01-15", "time_start":"15:00:00", "time_end":"16:00:00", "time_zone":"America\/Detroit", "event_title":"Probability and Analysis Seminar: Convergence of Unadjusted Langevin in High Dimensions: Delocalization of Bias", "occurrence_title":"", "combined_title":"Probability and Analysis Seminar: Convergence of Unadjusted Langevin in High Dimensions: Delocalization of Bias: Yifan Chen (New York University)", "event_subtitle":"Yifan Chen (New York University)", "event_type":"Workshop \/ Seminar", "event_type_id":"21", "description":"The unadjusted Langevin algorithm is commonly used to sample probability distributions in extremely high-dimensional settings. However, existing analyses of the algorithm for strongly log-concave distributions suggest that, as the dimension $d$ of the problem increases, the number of iterations required to ensure convergence within a desired error in the $W_2$ metric scales in proportion to $d$ or $\\sqrt{d}$. In this work, we argue that, despite this poor scaling of the $W_2$ error for the full set of variables, the behavior for a \\emph{small number} of variables can be significantly better: a number of iterations proportional to $K$, up to logarithmic terms in $d$, often suffices for the algorithm to converge to within a desired $W_2$ error for all $K$-marginals. We refer to this effect as \\textit{delocalization of bias}. We show that the delocalization effect does not hold universally and prove its validity for Gaussian distributions and strongly log-concave distributions with certain sparse interactions. Our analysis relies on a novel $W_{2,\\ell^\\infty}$ metric to measure convergence. A key technical challenge we address is the lack of a one-step contraction property in this metric. Finally, we use asymptotic arguments to explore potential generalizations of the delocalization effect beyond the Gaussian and sparse interactions setting.", "occurrence_notes":null, "guid":"130777-21866873@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/130777", "building_id":"1000166", "building_name":"East Hall", "campus_maps_id":"53", "room":"EH4448", "location_name":"East Hall", "has_livestream":0, "cost":"", "tags":["Mathematics"], "website":"https:\/\/sites.google.com\/view\/probsemumich\/future-talks", "sponsors":[ { "group_name":"Probability and Analysis Seminar - Department of Mathematics", "group_id":"5203", "website":"https:\/\/sites.google.com\/view\/probsemumich\/future-talks" }, { "group_name":"Department of Mathematics", "group_id":"3791", "website":"" } ], "image_url":"", "styled_images":{ "event_thumb":"", "event_large":"", "event_large_2x":"", "event_large_lightbox":"", "group_thumb":"", "group_thumb_square":"", "group_large":"", "group_large_lightbox":"", "event_large_crop":"", "event_list":"", "event_list_2x":"", "event_grid":"", "event_grid_2x":"", "event_feature_large":"", "event_feature_thumb":"" }, "occurrence_count":1, "first_occurrence":21866873 } , "130261-21865649": { "datetime_modified":"20250130T123155", "datetime_start":"20250115T150000", "datetime_end":"20250115T160000", "has_end_time":1, "date_start":"2025-01-15", "date_end":"2025-01-15", "time_start":"15:00:00", "time_end":"16:00:00", "time_zone":"America\/Detroit", "event_title":"Resume Lab", "occurrence_title":"", "combined_title":"Resume Lab", "event_subtitle":"", "event_type":"Careers \/ Jobs", "event_type_id":"2", "description":"*RSVP required to attend. Click \"Join Event\" here:\u00a0https:\/\/umich.joinhandshake.com\/edu\/events\/1671645Just getting started building a resume? Have a draft but not sure how to make it better? Want to learn about resources available to revise your resume? Wherever you\u2019re at Resume Lab is a great next step for you.\u00a0Get real-time, personalized support in a small group setting by checking out the Resume Lab.\u00a0We will discuss and educate you on\u2026- Design and format- Writing a great bullet point- Targeting your resume for specific internships\/jobs\u00a0If you're a Graduate Student or Recent Grad, please make a 1:1 appointment instead of attending the Lab because this event is designed for undergraduates.\u00a0Note: This event's information is shown in Handshake as well as on theHappening @ Michigan calendar so that it will be seen by a larger number of U-M Students.", "occurrence_notes":null, "guid":"130261-21865649@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/130261", "building_id":"", "building_name":"", "campus_maps_id":"", "room":"", "location_name":"", "has_livestream":0, "cost":"", "tags":[], "website":"", "sponsors":[ { "group_name":"University Career Center UCC", "group_id":"1140", "website":"http:\/\/careercenter.umich.edu" } ], "image_url":"", "styled_images":{ "event_thumb":"", "event_large":"", "event_large_2x":"", "event_large_lightbox":"", "group_thumb":"", "group_thumb_square":"", "group_large":"", "group_large_lightbox":"", "event_large_crop":"", "event_list":"", "event_list_2x":"", "event_grid":"", "event_grid_2x":"", "event_feature_large":"", "event_feature_thumb":"" }, "occurrence_count":1, "first_occurrence":21865649 } }