{"id":68,"date":"2021-05-17T06:23:54","date_gmt":"2021-05-17T06:23:54","guid":{"rendered":"http:\/\/placeholder.csail.mit.edu\/index.php\/landing-page\/"},"modified":"2023-05-12T02:04:55","modified_gmt":"2023-05-12T02:04:55","slug":"landing-page","status":"publish","type":"page","link":"https:\/\/mlas.mit.edu\/","title":{"rendered":"Landing Page"},"content":{"rendered":"\n
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Machine Learning Advances Symposium<\/h1>

May 12th, 2023<\/p>

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About MLAS<\/h2><\/div>\n\n\n\n
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Machine learning is having a moment right now. It is increasingly becoming an integral part of business, healthcare, finance, and other aspects of our day-to-day lives. Meanwhile, the research at our own CSAIL and LIDS communities is driving many of the major advances in machine learning. This event will bring together the CSAIL and LIDS communities to share our cutting-edge and diverse lines of research, to identify the biggest challenges facing machine learning, and to brainstorm what comes next.
Complete the registration form to attend<\/a> <\/strong><\/p><\/div>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n

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Speakers<\/h2><\/div>\n<\/div><\/div>\n\n\n\n
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Dylan Hadfield-Menell<\/h4><\/div>

CSAIL<\/p><\/div><\/div>\n\n\n\n

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Cathy Wu<\/h4><\/div>

LIDS<\/p><\/div><\/div>\n\n\n\n

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Yoon Kim<\/h4><\/div>

CSAIL<\/p><\/div><\/div>\n\n\n\n

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Ashia Wilson<\/h4><\/div>

LIDS<\/p><\/div><\/div>\n<\/div><\/div>\n<\/div>\n<\/div>\n\n\n\n

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Polina Golland<\/h4><\/div>

CSAIL<\/p><\/div><\/div>\n\n\n\n

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Martin Wainright<\/h4><\/div>

LIDS<\/p><\/div><\/div>\n\n\n\n

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Event Schedule\u200b<\/h2><\/div>\n\n\n\n

Events will be held in MIT Building E15<\/a>:
Bartos theater<\/strong> (for talks)
Lower atrium<\/strong> (for posters and breaks)<\/p><\/div>\n<\/div>\n\n\n\n

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09:00 AM\u200b<\/span>

Opening Remarks<\/h3><\/div><\/div><\/div>\n\n\n\n
09:15 AM\u200b<\/span>

Talk<\/h3><\/div>

Polina Golland

Learning to read x-ray<\/em>s<\/p><\/div><\/div>\n\n\n\n

09:45 AM\u200b<\/span>

Spotlight Talks<\/h3><\/div>

Abhin Shah: On counterfactual inference with unobserved confounding<\/em>

Alex Gu: ObSynth: An Interactive Synthesis System for Generating Object Models from Natural Language Specifications<\/em><\/p><\/div><\/div>\n\n\n\n

10:00 AM\u200b<\/span>

Coffee Break\u200b<\/h3><\/div><\/div><\/div>\n<\/div>\n\n\n\n
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10:30 AM\u200b<\/span>

Talk<\/h3><\/div>

Yoon Kim

Large Language Models & Symbolic Structures<\/em><\/p><\/div><\/div>\n\n\n\n

11:00 AM\u200b<\/span>

Talk<\/h3><\/div>

Cathy Wu

Intelligent Vehicle Coordination: Eco-driving for the Planet and Hybrid Learning Methods<\/em><\/p><\/div><\/div>\n\n\n\n

11:30 AM\u200b<\/span>

Spotlight Talks<\/h3><\/div>

Tongzhou Wang: Quasimetric Reinforcement Learning<\/em>

Charles Dawson: Root-cause analysis and repair of failures in autonomous decision-making<\/em>

Saachi Jain: Distilling Model Failures as Directions in Latent Space<\/em>

Kwangjun Ahn: Reproducibility in Optimization: Theoretical Framework and Limits<\/em><\/p><\/div><\/div>\n\n\n\n

12:00 PM\u200b<\/span>

Posters & Standup Lunch<\/h3><\/div>

List of posters<\/a><\/p><\/div><\/div>\n<\/div>\n\n\n\n

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01:30 PM\u200b<\/span>

Talk<\/h3><\/div>

Martin Wainwright

Beyond worst-case: Instance-optimal algorithms in ML<\/em><\/p><\/div><\/div>\n\n\n\n

2:00 PM\u200b<\/span>

Talk<\/h3><\/div>

Ashia Wilson<\/p><\/div><\/div>\n\n\n\n

02:30 PM\u200b<\/span>

Coffee Break<\/h3><\/div><\/div><\/div>\n\n\n\n
03:00 PM\u200b<\/span>

Talk<\/h3><\/div>

Dylan Hadfield-Menell<\/p><\/div><\/div>\n<\/div>\n\n\n\n

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03:30 PM\u200b<\/span>

Spotlight Talks<\/h3><\/div>

Manon Revel: Diversity and Expertise in Binary Votes Aggregation<\/em>

Aparna Balagopalan: Judging Facts, Judging Norms: Training Machine Learning Models to Judge Humans Requires a Modified Approach to Labeling Data<\/em>

Renato Berlinghieri: Gaussian processes at the Helm(holtz): A more fluid model for ocean currents<\/em>

Joanna Materzynska: Erasing Concepts from Diffusion Models<\/em><\/p><\/div><\/div>\n\n\n\n

04:00 PM\u200b<\/span>

Posters & Drinks\/Snacks<\/h3><\/div>

List of posters<\/a><\/p><\/div><\/div>\n\n\n\n

05:30 PM\u200b<\/span>

Social<\/h3><\/div><\/div><\/div>\n\n\n\n
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Organizers<\/h3><\/div>

Chairs<\/em>
Tamara Broderick, Associate Professor, EECS
Phillip Isola, Associate Professor, EECS

Committee<\/em>
Aleksander Madry, Professor, EECS
Devavrat Shah, Professor, EECS
Marzyeh Ghassemi, Assistant Professor, EECS
Alexander Rakhlin, Professor, BCS
Suvrit Sra, Associate Professor, EECS
Jacob Andreas, Assistant Professor, EECS
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Our Sponsors\u200b<\/h2><\/div>\n<\/div>\n\n\n\n
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