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255 Results
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Workshop
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It’s About Time: Fairness and Temporal Depth Joshua Loftus |
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Workshop
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Backtracking Counterfactual Fairness Lucius Bynum · Joshua Loftus · Julia Stoyanovich |
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Balancing the Picture: Debiasing Vision-Language Datasets with Synthetic Contrast Sets Brandon Smith · Miguel Farinha · Siobhan Mackenzie Hall · Hannah Rose Kirk · Aleksandar Shtedritski · Max Bain |
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Workshop
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Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction Arjun Subramonian · Levent Sagun · Yizhou Sun |
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Affinity Workshop
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Contrastive Predict-and-Search for Mixed Integer Linear Programs Taoan Huang · Aaron Ferber · Arman Zharmagambetov · Yuandong Tian · Bistra Dilkina |
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Workshop
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Fri 11:06 |
Seller-side Outcome Fairness in Online Marketplaces Zikun Ye · Reza Yousefi Maragheh · Lalitesh Morishetti · Shanu Vashishtha · Jason Cho · Kaushiki Nag · Sushant Kumar · Kannan Achan |
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Performativity and Prospective Fairness. Sebastian Zezulka · Konstantin Genin |
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Workshop
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Contrastive Predict-and-Search for Mixed Integer Linear Programs Taoan Huang · Aaron Ferber · Arman Zharmagambetov · Yuandong Tian · Bistra Dilkina |
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Workshop
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Mix-ME: Quality-Diversity for Multi-Agent Learning Garðar Ingvarsson Juto · Mikayel Samvelyan · Manon Flageat · Bryan Lim · Antoine Cully · Tim Rocktäschel |
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Workshop
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Seller-side Outcome Fairness in Online Marketplaces Zikun Ye · Reza Yousefi Maragheh · Lalitesh Morishetti · Shanu Vashishtha · Jason Cho · Kaushiki Nag · Sushant Kumar · Kannan Achan |
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Workshop
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Dr. FERMI: A Stochastic Distributionally Robust Fair Empirical Risk Minimization Framework Sina Baharlouei · Meisam Razaviyayn |
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Workshop
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Designing Long-term Group Fair Policies in Dynamical Systems Miriam Rateike · Isabel Valera · Patrick Forré |