Ronald Parr

Conference Proceedings of Machine Learning Research · January 1, 2024 The Rashomon Effect, coined by Leo Breiman, describes the phenomenon that there exist many equally good predictive models for the same dataset. This phenomenon happens for many real datasets and when it does, it sparks both magic and consternation, but mos ... Cite

Using Noise to Infer Aspects of Simplicity Without Learning

Conference Advances in Neural Information Processing Systems · January 1, 2024 Noise in data significantly influences decision-making in the data science process. In fact, it has been shown that noise in data generation processes leads practitioners to find simpler models. However, an open question still remains: what is the degree o ... Cite

Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy

Conference Advances in Neural Information Processing Systems · January 1, 2024 Reinforcement learning algorithms typically rely on the assumption that the environment dynamics and value function can be expressed in terms of a Markovian state representation. However, when state information is only partially observable, how can an agen ... Cite

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