no code implementations • ICML 2020 • Lakshay Chauhan, John Alberg, Zachary Lipton
On a periodic basis, publicly traded companies are required to report fundamentals: financial data such as revenue, earnings, debt, etc., providing insight into the company’s financial health.
no code implementations • 14 Feb 2023 • Tom Yan, Shantanu Gupta, Zachary Lipton
While earlier works cast these manipulations as undesirable gaming, recent works have adopted a more nuanced causal framing in which manipulations can improve outcomes of interest, and setting coherent mechanisms requires accounting for both predictive accuracy and improvement of the outcome.
1 code implementation • 3 Sep 2021 • Riccardo Fogliato, Alexandra Chouldechova, Zachary Lipton
As algorithmic risk assessment instruments (RAIs) are increasingly adopted to assist decision makers, their predictive performance and potential to promote inequity have come under scrutiny.
no code implementations • 24 Feb 2020 • Jacob Tyo, Zachary Lipton
In this paper, we consider the source of Deep Reinforcement Learning (DRL)'s sample complexity, asking how much derives from the requirement of learning useful representations of environment states and how much is due to the sample complexity of learning a policy.
1 code implementation • ICLR Workshop LLD 2019 • Yifan Wu, Ezra Winston, Divyansh Kaushik, Zachary Lipton
Domain adaptation addresses the common problem when the target distribution generating our test data drifts from the source (training) distribution.
no code implementations • 15 Nov 2017 • Zachary Lipton, Xiujun Li, Jianfeng Gao, Lihong Li, Faisal Ahmed, Li Deng
We present a new algorithm that significantly improves the efficiency of exploration for deep Q-learning agents in dialogue systems.