Deprecated: TEC\Events_Pro\Custom_Tables\V1\WP_Query\Modifiers\Events_Not_Recurring_Custom_Tables_Query_Modifier::applies_to(): Implicitly marking parameter $query as nullable is deprecated, the explicit nullable type must be used instead in /home/seasevents/public_html/wp-content/plugins/events-calendar-pro/src/Events_Pro/Custom_Tables/V1/WP_Query/Modifiers/Events_Not_Recurring_Custom_Tables_Query_Modifier.php on line 61
Warning: Cannot modify header information - headers already sent by (output started at /home/seasevents/public_html/wp-content/plugins/events-calendar-pro/src/Events_Pro/Custom_Tables/V1/WP_Query/Modifiers/Events_Not_Recurring_Custom_Tables_Query_Modifier.php:61) in /home/seasevents/public_html/wp-content/plugins/the-events-calendar/src/Tribe/Views/V2/iCalendar/iCalendar_Handler.php on line 263
Warning: Cannot modify header information - headers already sent by (output started at /home/seasevents/public_html/wp-content/plugins/events-calendar-pro/src/Events_Pro/Custom_Tables/V1/WP_Query/Modifiers/Events_Not_Recurring_Custom_Tables_Query_Modifier.php:61) in /home/seasevents/public_html/wp-content/plugins/disable-xml-rpc-pingback/disable-xml-rpc-pingback.php on line 51
Warning: Cannot modify header information - headers already sent by (output started at /home/seasevents/public_html/wp-content/plugins/events-calendar-pro/src/Events_Pro/Custom_Tables/V1/WP_Query/Modifiers/Events_Not_Recurring_Custom_Tables_Query_Modifier.php:61) in /home/seasevents/public_html/wp-content/plugins/the-events-calendar/src/Tribe/iCal.php on line 511
Warning: Cannot modify header information - headers already sent by (output started at /home/seasevents/public_html/wp-content/plugins/events-calendar-pro/src/Events_Pro/Custom_Tables/V1/WP_Query/Modifiers/Events_Not_Recurring_Custom_Tables_Query_Modifier.php:61) in /home/seasevents/public_html/wp-content/plugins/the-events-calendar/src/Tribe/iCal.php on line 512
Warning: Cannot modify header information - headers already sent by (output started at /home/seasevents/public_html/wp-content/plugins/events-calendar-pro/src/Events_Pro/Custom_Tables/V1/WP_Query/Modifiers/Events_Not_Recurring_Custom_Tables_Query_Modifier.php:61) in /home/seasevents/public_html/wp-content/plugins/the-events-calendar/src/Tribe/iCal.php on line 515
BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Penn Engineering Events - ECPv6.18.0//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Penn Engineering Events
X-ORIGINAL-URL:https://seasevents.nmsdev7.com
X-WR-CALDESC:Events for Penn Engineering Events
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20190310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20191103T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20200308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20201101T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20210314T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20211107T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200213T110000
DTEND;TZID=America/New_York:20200213T120000
DTSTAMP:20200206T221336Z
CREATED:20200206T221336Z
LAST-MODIFIED:20200206T221336Z
UID:2629-1581591600-1581595200@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "Adapting black-box machine learning methods for causal inference"
DESCRIPTION:Abstract: I’ll discuss the use of observational data to estimate the causal effect of a treatment on an outcome. This task is complicated by the presence of ‘confounders’ that influence both treatment and outcome\, inducing observed associations that are not causal. Causal estimation is achieved by adjusting for this confounding by using observed covariate information. I’ll discuss the case where we observe covariates that carry sufficient information for the adjustment\, but where explicit models relating treatment\, outcome\, covariates\, and confounding are not available. For example\, in medical data the covariates might consist of a large number of convenience health measurements of which only an unknown subset are relevant\, and even then in some totally unknown manner. Or\, the covariates might be a passage of (natural language) text that describes the relevant information. I’ll describe an approach that adapts deep learning and embedding methods to produce representations of the covariate information targeted toward the causal adjustment problem. In particular\, I’ll describe how to modify standard architectures and training objectives to achieve statistically efficient and practically useful causal estimates.
URL:https://seasevents.nmsdev7.com/event/ese-seminar-adapting-black-box-machine-learning-methods-for-causal-inference/
LOCATION:Room 337\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
END:VCALENDAR