288 citations · 539 across the 7 of their papers we have counts for
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cs.LG2017★ 288 cited
On Fairness and Calibration
Geoff Pleiss, Manish Raghavan, Felix Wu +2
The machine learning community has become increasingly concerned with the potential for bias and discrimination in predictive models. This has motivated a growing line of work on w…
cs.GT2017
Planning with Multiple Biases
Jon Kleinberg, Sigal Oren, Manish Raghavan
Recent work has considered theoretical models for the behavior of agents with specific behavioral biases: rather than making decisions that optimize a given payoff function, the ag…