2017 :: FAT ML

<!DOCTYPE html> <html lang="en" class="no-js"> <head> <meta charset="utf-8"> <meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1"> <link rel="icon" href="/static/img/favicon.ico" /> <link rel="apple-touch-icon" href="/static/img/apple-touch-icon.png"> <title>2017 :: FAT ML</title> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <link href="https://fonts.googleapis.com/css?family=Open+Sans:400,400i,700|Roboto+Slab:400,700" rel="stylesheet"> <link href="/static/sass/main.css" rel="stylesheet" type="text/css" />  <script> (function(H){ H.className = H.className.replace(/\bno-js\b/,'js') })(document.documentElement); </script> </head> <body class="standard-page"> <div class="site-bg"> <nav class="site-header navbar navbar-default"> <div class="container"> <div class="navbar-header"> <button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-target="#site-header-nav" aria-expanded="false"> <span class="sr-only">Toggle navigation</span> 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class="general-content__page schedule"> <h1>2017 Schedule</h1> <div class="schedule__introduction"><p>All sessions, <em>including the poster session</em>, will take place in <strong>Suite 202</strong> of the World Trade and Convention Center, 1800 Argyle Street, Halifax, NS, Canada.</p> <p>Please note that the workshop starts at 8:15AM, <strong>not</strong> 8:00AM or 8:50AM, as incorrectly listed on the conference website, program, and app.</p></div> <div class="row"> <div class="standard-layout__primary-column"> <ul class="schedule__list"> <li class="schedule__list__item schedule-entry"> <h2 class="schedule-entry__title"> <span class="schedule-entry__time">08:15</span> Opening Remarks </h2> <div class="schedule-entry__description"> <p>Suresh Venkatasubramanian</p> </div> </li> <li class="schedule__list__item schedule-entry"> <h2 class="schedule-entry__title"> <span class="schedule-entry__time">08:30</span> Contributed Talks </h2> <div class="schedule-entry__description"> <ul> <li> <p><a href="/schedule/2017/presentation/racial-disparity-natural-language-processing">Racial Disparity in Natural Language Processing: A Case Study of Social Media African-American English</a> – Su Lin Blodgett and Brendan O’Connor</p> </li> <li> <p><a href="/schedule/2017/presentation/fair-clustering-through-fairlets">Fair Clustering Through Fairlets</a> – Flavio Chierichetti, Ravi Kumar, Silvio Lattanzi and Sergei Vassilvitskii</p> </li> <li> <p><a href="/schedule/2017/presentation/calibrated-fairness-bandits">Calibrated Fairness in Bandits</a> – Yang Liu, Goran Radanovic, Christos Dimitrakakis, David Parkes and Debmalya Mandal</p> </li> <li> <p><a href="/schedule/2017/presentation/authority-fair-machine-learning">The Authority of ‘Fair’ in Machine Learning</a> – Michael Skirpan and Micha Gorelick</p> </li> </ul> </div> </li> <li class="schedule__list__item schedule-entry"> <h2 class="schedule-entry__title"> <span class="schedule-entry__time">10:00</span> Coffee Break </h2> <div class="schedule-entry__description"> </div> </li> <li class="schedule__list__item schedule-entry"> <h2 class="schedule-entry__title"> <span class="schedule-entry__time">10:30</span> <a href="/schedule/2017/presentation/seen-and-unseen-factors-influencing-knowledge-ai-s"> Invited Talk: Margaret Mitchell (Google) </a> </h2> <div class="schedule-entry__description"> <p>"The Seen and Unseen Factors Influencing Knowledge in AI Systems"</p> </div> </li> <li class="schedule__list__item schedule-entry"> <h2 class="schedule-entry__title"> <span class="schedule-entry__time">11:30</span> Lunch </h2> <div class="schedule-entry__description"> </div> </li> <li class="schedule__list__item schedule-entry"> <h2 class="schedule-entry__title"> <span class="schedule-entry__time">12:30</span> Poster Session </h2> <div class="schedule-entry__description"> <p>Posters include:</p> <ul> <li> <p><a href="http://www.fatml.org/media/documents/reductions_approach_to_fair_classification.pdf">A reductions approach to fair classification</a> – Alekh Agarwal, Alina Beygelzimer, Miroslav Dudik and John Langford</p> </li> <li> <p><a href="https://arxiv.org/pdf/1706.09773.pdf">Interpretability via Model Extraction</a> – Osbert Bastani, Carolyn Kim and Hamsa Bastani</p> </li> <li> <p><a href="https://arxiv.org/pdf/1707.00044.pdf">Learning Fair Classifiers: A Regularization Approach</a> – Yahav Bechavod and Katrina Ligett</p> </li> <li> <p><a href="http://www.fatml.org/media/documents/convex_framework_for_fair_regression.pdf">A Convex Framework for Fair Regression</a> – Richard Berk, Hoda Heidari, Shahin Jabbari, Matthew Joseph, Michael Kearns, Jamie Morgenstern, Seth Neel and Aaron Roth</p> </li> <li> <p><a href="https://arxiv.org/pdf/1707.00075.pdf">Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations</a> – Alex Beutel, Jilin Chen, Zhe Zhao and Ed H. Chi</p> </li> <li> <p><a href="https://arxiv.org/pdf/1707.00391.pdf">Fair Pipelines</a> – Amanda Bower, Sarah Kitchen, Laura Niss, Martin Strauss, Alexander Vargo and Suresh Venkatasubramanian</p> </li> <li> <p><a href="https://arxiv.org/pdf/1707.00093.pdf">Multisided Fairness for Recommendation</a> – Robin Burke</p> </li> <li> <p><a href="https://arxiv.org/pdf/1707.02260.pdf">Fair Personalization</a> – L. Elisa Celis and Nisheeth Vishnoi</p> </li> <li> <p><a href="https://arxiv.org/pdf/1707.00046.pdf">Fairer and more accurate, but for whom?</a> – Alexandra Chouldechova and Max G'Sell</p> </li> <li> <p><a href="http://www.fatml.org/media/documents/decoupled_classifiers_for_fair_and_efficient_machine_learning.pdf">Decoupled classifiers for fair and efficient ML</a> – Cynthia Dwork, Nicole Immorlica, Adam Kalai and Max Leiserson</p> </li> <li> <p><a href="http://www.fatml.org/media/documents/recidivism_prediction_and_predictive_policing.pdf">Decision making with limited feedback: Error bounds for recidivism prediction and predictive policing</a> – Danielle Ensign, Sorelle Friedler, Scott Neville, Carlos Scheidegger and Suresh Venkatasubramanian</p> </li> <li> <p><a href="https://arxiv.org/pdf/1706.10237.pdf">Is it ethical to avoid error analysis?</a> – Eva García-Martín and Niklas Lavesson</p> </li> <li> <p><a href="https://arxiv.org/pdf/1706.10208.pdf">On Fairness, Diversity and Randomness in Algorithmic Decision Making</a> – Nina Grgic-Hlaca, Muhammad Bilal Zafar, Krishna P. Gummadi and Adrian Weller</p> </li> <li> <p><a href="http://www.fatml.org/media/documents/better_fair_algorithms_for_contextual_bandits.pdf">Better Fair Algorithms for Contextual Bandits</a> – Matthew Joseph, Michael Kearns, Jamie Morgenstern, Seth Neel and Aaron Roth</p> </li> <li> <p><a href="http://www.fatml.org/media/documents/better_fair_algorithms_for_infinite_contextual_bandits.pdf">Fair Algorithms for Infinite Contextual Bandits</a> – Matthew Joseph, Michael Kearns, Jamie Morgenstern, Seth Neel and Aaron Roth</p> </li> <li> <p><a href="https://arxiv.org/pdf/1707.01154.pdf">Interpretable & Explorable Approximations of Black Box Models</a> – Himabindu Lakkaraju, Ece Kamar, Rich Caruana and Jure Leskovec</p> </li> <li> <p><a href="https://arxiv.org/pdf/1707.00780.pdf">Discriminatory Transfer</a> – Chao Lan and Jun Huan</p> </li> <li> <p><a href="https://arxiv.org/pdf/1707.04666.pdf">The causal impact of bail on case outcomes for indigent defendants</a> – Kristian Lum and Mike Baiocchi</p> </li> <li> <p><a href="https://arxiv.org/pdf/1510.05189.pdf">Causal Falling Rule Lists</a> – Fulton Wang and Cynthia Rudin</p> </li> <li> <p><a href="https://arxiv.org/pdf/1706.09838.pdf">New Fairness Metrics for Recommendation that Embrace Differences</a> – Sirui Yao and Bert Huang</p> </li> <li> <p><a href="https://arxiv.org/pdf/1611.08292.pdf">Identifying Significant Predictive Bias in Classifiers</a> – Zhe Zhang and Daniel Neill</p> </li> </ul> </div> </li> <li class="schedule__list__item schedule-entry"> <h2 class="schedule-entry__title"> <span class="schedule-entry__time">14:00</span> <a href="/schedule/2017/presentation/invited-talk-rich-caruana-microsoft"> Invited Talk: Rich Caruana (Microsoft) </a> </h2> <div class="schedule-entry__description"> <p>"Friends Don't Let Friends Deploy Black Box Models: Preventing Bias via Transparent Machine Learning"</p> </div> </li> <li class="schedule__list__item schedule-entry"> <h2 class="schedule-entry__title"> <span class="schedule-entry__time">15:00</span> Coffee Break </h2> <div class="schedule-entry__description"> </div> </li> <li class="schedule__list__item schedule-entry"> <h2 class="schedule-entry__title"> <span class="schedule-entry__time">15:30</span> Contributed Talks </h2> <div class="schedule-entry__description"> <ul> <li> <p><a href="/schedule/2017/presentation/runaway-feedback-loops-predictive-policing">Runaway Feedback Loops in Predictive Policing</a> – Danielle Ensign, Sorelle A. Friedler, Scott Neville, Carlos Scheidegger and Suresh Venkatasubramanian</p> </li> <li> <p><a href="/schedule/2017/presentation/fairness-equilibrium-labor-market">Fairness at Equilibrium in the Labor Market</a> – Lily Hu and Yiling Chen</p> </li> <li> <p><a href="/schedule/2017/presentation/preference-vs-parity-based-notions-fairness">Preference vs. Parity-based Notions of Fairness</a> – Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rodriguez, Krishna P. Gummadi and Adrian Weller</p> </li> <li> <p><a href="/schedule/2017/presentation/logics-and-practices-transparency-and-opacity-real">Logics and Practices of Transparency and Opacity in Real-world Applications of Public Sector Machine Learning</a> – Michael Veale</p> </li> </ul> </div> </li> <li class="schedule__list__item schedule-entry"> <h2 class="schedule-entry__title"> <span class="schedule-entry__time">17:00</span> Closing Remarks </h2> <div class="schedule-entry__description"> </div> </li> </ul> </div> <div class="standard-layout__secondary-column"> </div> </div> </div> </div> </div> </div>  <script type="text/javascript" src="/static/javascripts/jquery.js" charset="utf-8"></script> <script type="text/javascript" src="/static/javascripts/bootstrap.js" charset="utf-8"></script> <script type="text/javascript" src="/static/javascripts/js.cookie.js" charset="utf-8"></script> <script type="text/javascript" src="/static/conference/javascripts/profile-photo.js" charset="utf-8"></script> </body> </html>

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2017 :: FAT ML