{"id":605958,"date":"2019-09-12T13:29:29","date_gmt":"2019-09-12T20:29:29","guid":{"rendered":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/?post_type=msr-event&p=605958"},"modified":"2025-08-06T11:56:17","modified_gmt":"2025-08-06T18:56:17","slug":"msr-mila-workshop-2019","status":"publish","type":"msr-event","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/event\/msr-mila-workshop-2019\/","title":{"rendered":"MSR & Mila Workshop 2019"},"content":{"rendered":"\n\n

This is an invite-only event.<\/strong><\/p>\n

Venue:<\/strong> Mila Agora Auditorium (opens in new tab)<\/span><\/a>
\n6650 St-Urbain
\nMontreal, QC
\nH2S 3H1<\/p>\n

Sponsor:<\/strong> Microsoft Research Lab – MontrealOpens in a new tab<\/span><\/p>\n

You\u2019re invited to join us for the 3rd annual MSR & Mila research workshop in Montreal on October 16, 2019. The workshop will feature 14 distinguished presentations by Mila professors, students and MSR researchers. The workshop will also include a Mila poster session during lunch.<\/p>\n

The workshop is an opportunity for Mila professors, students and MSR researchers to share and present what they\u2019re currently working on with the goal of facilitating and building on existing research collaborations between Mila & MSR.Opens in a new tab<\/span><\/p>\n

Wednesday, October 16<\/h2>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Time (PDT) <\/strong><\/td>\n Session <\/strong><\/td>\n Speaker <\/strong><\/td>\n Affiliation <\/strong><\/td>\n<\/tr>\n
8:00 AM\u20138:50 AM<\/td>\nBreakfast and networking<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
8:50 AM\u20139:00 AM<\/td>\nWelcoming Remarks<\/td>\nJessica Mastronardi
\nYoshua Bengio<\/td>\n		MSR Outreach
\nMila<\/td>\n<\/tr>\n
9:00 AM\u20139:30 AM<\/td>\nTowards characterizing compositionality and systematic generalization for natural language representations<\/td>\nAlessandro Sordoni
\nTimothy O\u2019Donnell<\/td>\n		MSR Montreal
\nMila<\/td>\n<\/tr>\n
9:30 AM\u201310:00 AM<\/td>\nLearning and Reasoning with Graph Structures in Interactive Text Environments<\/td>\nMarc-Alexandre Cote
\nWilliam Hamilton<\/td>\n		MSR Montreal
\nMila<\/td>\n<\/tr>\n
10:00 AM\u201310:30 AM<\/td>\nLearning Dynamics of Adversarial Machine Learning Formulations<\/td>\nRemi Tachet Des Combes
\nIoannis Mitliagkas<\/td>\n		MSR Montreal
\nMila<\/td>\n<\/tr>\n
10:30 AM\u201311:00 AM<\/td>\nAdversarial examples from computational constraints<\/td>\nSebastien Bubeck<\/td>\nMSR AI<\/td>\n<\/tr>\n
11:00 AM\u201311:30 AM<\/td>\nIncorporating Machine Learning Fairness into Industry Practice<\/td>\nJenn Wortman Vaughn<\/td>\nMSR NYC<\/td>\n<\/tr>\n
11:30 AM\u201312:00 PM<\/td>\nStrategic Exploration Via State Abstraction from Rich Observations<\/td>\nJohn Langford<\/td>\nMSR NYC<\/td>\n<\/tr>\n
12:00 PM\u20131:00 PM<\/td>\nLunch & Mila Poster Session<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
1:00 PM\u20131:30 PM<\/td>\nOn the variance of the adaptive learning rate and beyond<\/td>\nJianfeng Gao<\/td>\nMSR AI<\/td>\n<\/tr>\n
1:30 PM\u20132:00 PM<\/td>\nOn troubleshooting and error analysis for machine learning systems<\/td>\nBesmira Nushi<\/td>\nMSR AI<\/td>\n<\/tr>\n
2:00 PM\u20132:30 PM<\/td>\nDomain Adaptation<\/td>\nTJ Hazen,
\nAndrew McNamara<\/td>\n		MSR Montreal,
\nMSR Montreal<\/td>\n<\/tr>\n
2:30 PM\u20133:00 PM<\/td>\nTowards Common Sense Understanding of Text<\/td>\nKaheer Suleman
\nAdam Trischler
\nJackie Cheung
\nAli Emani<\/td>\n		MSR Montreal
\nMSR Montreal
\nMila
\nMila<\/td>\n<\/tr>\n
3:00 PM\u20133:30 PM<\/td>\nCoffee break and networking<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
3:30 PM\u20134:00 PM<\/td>\nThe Agent Perspective for Representation Learning, Looking Forward<\/td>\nYoshua Bengio<\/td>\nMila<\/td>\n<\/td>\n<\/tr>\n
4:00 PM\u20134:30 PM<\/td>\nTraining Robots in Simulators<\/td>\nLiam Paull<\/td>\nMila<\/td>\n<\/tr>\n
4:30 PM\u20135:00 PM<\/td>\nAnalyzing complex data to understand online societies and online markets<\/td>\nReihaneh Rabbany<\/td>\nMila<\/td>\n<\/tr>\n
5:00 PM\u20135:30 PM<\/td>\nTowards Combining Statistical Relational Learning and Graph Neural Networks for Reasoning<\/td>\nJian Tang<\/td>\nMila<\/td>\n<\/tr>\n
5:30 PM\u20135:40 PM<\/td>\nClosing Remarks<\/td>\nJennifer Chayes
\nEric Horvitz<\/td>\n		MSR
\nMSR<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Opens in a new tab<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

The 3rd annual MSR & Mila workshop is an opportunity for Mila professors, students and MSR researchers to share and present what they\u2019re currently working on with the goal of facilitating and building on existing research collaborations between Mila & MSR.<\/p>\n","protected":false},"featured_media":606435,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_startdate":"2019-10-16","msr_enddate":"2019-10-16","msr_location":"Montreal, Quebec, Canada","msr_expirationdate":"","msr_event_recording_link":"","msr_event_link":"","msr_event_link_redirect":false,"msr_event_time":"8:00 AM - 6:00 PM (ET)","msr_hide_region":false,"msr_private_event":false,"msr_hide_image_in_river":0,"footnotes":""},"research-area":[13556],"msr-region":[197900],"msr-event-type":[197944],"msr-video-type":[],"msr-locale":[268875],"msr-program-audience":[],"msr-post-option":[],"msr-impact-theme":[],"class_list":["post-605958","msr-event","type-msr-event","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-region-north-america","msr-event-type-hosted-by-microsoft","msr-locale-en_us"],"msr_about":"\n\n

This is an invite-only event.<\/strong><\/p>\n

Venue:<\/strong> Mila Agora Auditorium (opens in new tab)<\/span><\/a>
\n6650 St-Urbain
\nMontreal, QC
\nH2S 3H1<\/p>\n

Sponsor:<\/strong> Microsoft Research Lab – MontrealOpens in a new tab<\/span><\/p>\n

You\u2019re invited to join us for the 3rd annual MSR & Mila research workshop in Montreal on October 16, 2019. The workshop will feature 14 distinguished presentations by Mila professors, students and MSR researchers. The workshop will also include a Mila poster session during lunch.<\/p>\n

The workshop is an opportunity for Mila professors, students and MSR researchers to share and present what they\u2019re currently working on with the goal of facilitating and building on existing research collaborations between Mila & MSR.Opens in a new tab<\/span><\/p>\n

Wednesday, October 16<\/h2>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Time (PDT) <\/strong><\/td>\n Session <\/strong><\/td>\n Speaker <\/strong><\/td>\n Affiliation <\/strong><\/td>\n<\/tr>\n
8:00 AM\u20138:50 AM<\/td>\nBreakfast and networking<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
8:50 AM\u20139:00 AM<\/td>\nWelcoming Remarks<\/td>\nJessica Mastronardi
\nYoshua Bengio<\/td>\n		MSR Outreach
\nMila<\/td>\n<\/tr>\n
9:00 AM\u20139:30 AM<\/td>\nTowards characterizing compositionality and systematic generalization for natural language representations<\/td>\nAlessandro Sordoni
\nTimothy O\u2019Donnell<\/td>\n		MSR Montreal
\nMila<\/td>\n<\/tr>\n
9:30 AM\u201310:00 AM<\/td>\nLearning and Reasoning with Graph Structures in Interactive Text Environments<\/td>\nMarc-Alexandre Cote
\nWilliam Hamilton<\/td>\n		MSR Montreal
\nMila<\/td>\n<\/tr>\n
10:00 AM\u201310:30 AM<\/td>\nLearning Dynamics of Adversarial Machine Learning Formulations<\/td>\nRemi Tachet Des Combes
\nIoannis Mitliagkas<\/td>\n		MSR Montreal
\nMila<\/td>\n<\/tr>\n
10:30 AM\u201311:00 AM<\/td>\nAdversarial examples from computational constraints<\/td>\nSebastien Bubeck<\/td>\nMSR AI<\/td>\n<\/tr>\n
11:00 AM\u201311:30 AM<\/td>\nIncorporating Machine Learning Fairness into Industry Practice<\/td>\nJenn Wortman Vaughn<\/td>\nMSR NYC<\/td>\n<\/tr>\n
11:30 AM\u201312:00 PM<\/td>\nStrategic Exploration Via State Abstraction from Rich Observations<\/td>\nJohn Langford<\/td>\nMSR NYC<\/td>\n<\/tr>\n
12:00 PM\u20131:00 PM<\/td>\nLunch & Mila Poster Session<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
1:00 PM\u20131:30 PM<\/td>\nOn the variance of the adaptive learning rate and beyond<\/td>\nJianfeng Gao<\/td>\nMSR AI<\/td>\n<\/tr>\n
1:30 PM\u20132:00 PM<\/td>\nOn troubleshooting and error analysis for machine learning systems<\/td>\nBesmira Nushi<\/td>\nMSR AI<\/td>\n<\/tr>\n
2:00 PM\u20132:30 PM<\/td>\nDomain Adaptation<\/td>\nTJ Hazen,
\nAndrew McNamara<\/td>\n		MSR Montreal,
\nMSR Montreal<\/td>\n<\/tr>\n
2:30 PM\u20133:00 PM<\/td>\nTowards Common Sense Understanding of Text<\/td>\nKaheer Suleman
\nAdam Trischler
\nJackie Cheung
\nAli Emani<\/td>\n		MSR Montreal
\nMSR Montreal
\nMila
\nMila<\/td>\n<\/tr>\n
3:00 PM\u20133:30 PM<\/td>\nCoffee break and networking<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
3:30 PM\u20134:00 PM<\/td>\nThe Agent Perspective for Representation Learning, Looking Forward<\/td>\nYoshua Bengio<\/td>\nMila<\/td>\n<\/td>\n<\/tr>\n
4:00 PM\u20134:30 PM<\/td>\nTraining Robots in Simulators<\/td>\nLiam Paull<\/td>\nMila<\/td>\n<\/tr>\n
4:30 PM\u20135:00 PM<\/td>\nAnalyzing complex data to understand online societies and online markets<\/td>\nReihaneh Rabbany<\/td>\nMila<\/td>\n<\/tr>\n
5:00 PM\u20135:30 PM<\/td>\nTowards Combining Statistical Relational Learning and Graph Neural Networks for Reasoning<\/td>\nJian Tang<\/td>\nMila<\/td>\n<\/tr>\n
5:30 PM\u20135:40 PM<\/td>\nClosing Remarks<\/td>\nJennifer Chayes
\nEric Horvitz<\/td>\n		MSR
\nMSR<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Opens in a new tab<\/span><\/p>\n","tab-content":[{"id":0,"name":"About","content":"You\u2019re invited to join us for the 3rd annual MSR & Mila research workshop in Montreal on October 16, 2019. The workshop will feature 14 distinguished presentations by Mila professors, students and MSR researchers. The workshop will also include a Mila poster session during lunch.\r\n\r\nThe workshop is an opportunity for Mila professors, students and MSR researchers to share and present what they\u2019re currently working on with the goal of facilitating and building on existing research collaborations between Mila & MSR."},{"id":1,"name":"Agenda","content":"

Wednesday, October 16<\/h2>\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n
Time (PDT) <\/strong><\/td>\r\n Session <\/strong><\/td>\r\n Speaker <\/strong><\/td>\r\n Affiliation <\/strong><\/td>\r\n<\/tr>\r\n
8:00 AM\u20138:50 AM<\/td>\r\nBreakfast and networking<\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n
8:50 AM\u20139:00 AM<\/td>\r\nWelcoming Remarks<\/td>\r\nJessica Mastronardi\r\nYoshua Bengio<\/td>\r\nMSR Outreach\r\nMila<\/td>\r\n<\/tr>\r\n
9:00 AM\u20139:30 AM<\/td>\r\nTowards characterizing compositionality and systematic generalization for natural language representations<\/td>\r\nAlessandro Sordoni\r\nTimothy O\u2019Donnell<\/td>\r\nMSR Montreal\r\nMila<\/td>\r\n<\/tr>\r\n
9:30 AM\u201310:00 AM<\/td>\r\nLearning and Reasoning with Graph Structures in Interactive Text Environments<\/td>\r\nMarc-Alexandre Cote\r\nWilliam Hamilton<\/td>\r\nMSR Montreal\r\nMila<\/td>\r\n<\/tr>\r\n
10:00 AM\u201310:30 AM<\/td>\r\nLearning Dynamics of Adversarial Machine Learning Formulations<\/td>\r\nRemi Tachet Des Combes\r\nIoannis Mitliagkas<\/td>\r\nMSR Montreal\r\nMila<\/td>\r\n<\/tr>\r\n
10:30 AM\u201311:00 AM<\/td>\r\nAdversarial examples from computational constraints<\/td>\r\nSebastien Bubeck<\/td>\r\nMSR AI<\/td>\r\n<\/tr>\r\n
11:00 AM\u201311:30 AM<\/td>\r\nIncorporating Machine Learning Fairness into Industry Practice<\/td>\r\nJenn Wortman Vaughn<\/td>\r\nMSR NYC<\/td>\r\n<\/tr>\r\n
11:30 AM\u201312:00 PM<\/td>\r\nStrategic Exploration Via State Abstraction from Rich Observations<\/td>\r\nJohn Langford<\/td>\r\nMSR NYC<\/td>\r\n<\/tr>\r\n
12:00 PM\u20131:00 PM<\/td>\r\nLunch & Mila Poster Session<\/td>\r\n<\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n
1:00 PM\u20131:30 PM<\/td>\r\nOn the variance of the adaptive learning rate and beyond<\/td>\r\nJianfeng Gao<\/td>\r\nMSR AI<\/td>\r\n<\/tr>\r\n
1:30 PM\u20132:00 PM<\/td>\r\nOn troubleshooting and error analysis for machine learning systems<\/td>\r\nBesmira Nushi<\/td>\r\nMSR AI<\/td>\r\n<\/tr>\r\n
2:00 PM\u20132:30 PM<\/td>\r\nDomain Adaptation<\/td>\r\nTJ Hazen,\r\nAndrew McNamara<\/td>\r\nMSR Montreal,\r\nMSR Montreal<\/td>\r\n<\/tr>\r\n
2:30 PM\u20133:00 PM<\/td>\r\nTowards Common Sense Understanding of Text<\/td>\r\nKaheer Suleman\r\nAdam Trischler\r\nJackie Cheung\r\nAli Emani<\/td>\r\nMSR Montreal\r\nMSR Montreal\r\nMila\r\nMila<\/td>\r\n<\/tr>\r\n
3:00 PM\u20133:30 PM<\/td>\r\nCoffee break and networking<\/td>\r\n<\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n
3:30 PM\u20134:00 PM<\/td>\r\nThe Agent Perspective for Representation Learning, Looking Forward<\/td>\r\nYoshua Bengio<\/td>\r\nMila<\/td>\r\n<\/td>\r\n<\/tr>\r\n
4:00 PM\u20134:30 PM<\/td>\r\nTraining Robots in Simulators<\/td>\r\nLiam Paull<\/td>\r\nMila<\/td>\r\n<\/tr>\r\n
4:30 PM\u20135:00 PM<\/td>\r\nAnalyzing complex data to understand online societies and online markets<\/td>\r\nReihaneh Rabbany<\/td>\r\nMila<\/td>\r\n<\/tr>\r\n
5:00 PM\u20135:30 PM<\/td>\r\nTowards Combining Statistical Relational Learning and Graph Neural Networks for Reasoning<\/td>\r\nJian Tang<\/td>\r\nMila<\/td>\r\n<\/tr>\r\n
5:30 PM\u20135:40 PM<\/td>\r\nClosing Remarks<\/td>\r\nJennifer Chayes\r\nEric Horvitz<\/td>\r\nMSR\r\nMSR<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>"}],"msr_startdate":"2019-10-16","msr_enddate":"2019-10-16","msr_event_time":"8:00 AM - 6:00 PM (ET)","msr_location":"Montreal, Quebec, Canada","msr_event_link":"","msr_event_recording_link":"","msr_startdate_formatted":"October 16, 2019","msr_register_text":"Watch now","msr_cta_link":"","msr_cta_text":"","msr_cta_bi_name":"","featured_image_thumbnail":"\"Skyline","event_excerpt":"The 3rd annual MSR & Mila workshop is an opportunity for Mila professors, students and MSR researchers to share and present what they\u2019re currently working on with the goal of facilitating and building on existing research collaborations between Mila & MSR.","msr_research_lab":[],"related-researchers":[],"msr_impact_theme":[],"related-academic-programs":[],"related-groups":[],"related-projects":[],"related-opportunities":[],"related-publications":[],"related-videos":[],"related-posts":[],"_links":{"self":[{"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/605958","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-event"}],"about":[{"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-event"}],"version-history":[{"count":26,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/605958\/revisions"}],"predecessor-version":[{"id":1147025,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/605958\/revisions\/1147025"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/media\/606435"}],"wp:attachment":[{"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/media?parent=605958"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=605958"},{"taxonomy":"msr-region","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-region?post=605958"},{"taxonomy":"msr-event-type","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-event-type?post=605958"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=605958"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=605958"},{"taxonomy":"msr-program-audience","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-program-audience?post=605958"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=605958"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=605958"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}