Zobrazeno 1 - 10
of 657
pro vyhledávání: '"A. Chugg"'
We derive and study time-uniform confidence spheres -- confidence sphere sequences (CSSs) -- which contain the mean of random vectors with high probability simultaneously across all sample sizes. Our results include a dimension-free CSS for log-conca
Externí odkaz:
http://arxiv.org/abs/2311.08168
We provide practical, efficient, and nonparametric methods for auditing the fairness of deployed classification and regression models. Whereas previous work relies on a fixed-sample size, our methods are sequential and allow for the continuous monito
Externí odkaz:
http://arxiv.org/abs/2305.17570
We present a unified framework for deriving PAC-Bayesian generalization bounds. Unlike most previous literature on this topic, our bounds are anytime-valid (i.e., time-uniform), meaning that they hold at all stopping times, not only for a fixed sampl
Externí odkaz:
http://arxiv.org/abs/2302.03421
Entropy regularization is known to improve exploration in sequential decision-making problems. We show that this same mechanism can also lead to nearly unbiased and lower-variance estimates of the mean reward in the optimize-and-estimate structured b
Externí odkaz:
http://arxiv.org/abs/2208.11747
This paper introduces a new, highly consequential setting for the use of computer vision for environmental sustainability. Concentrated Animal Feeding Operations (CAFOs) (aka intensive livestock farms or "factory farms") produce significant manure an
Externí odkaz:
http://arxiv.org/abs/2208.08919
Standard artificial neural networks (ANNs) use sum-product or multiply-accumulate node operations with a memoryless nonlinear activation. These neural networks are known to have universal function approximation capabilities. Previously proposed morph
Externí odkaz:
http://arxiv.org/abs/2207.07832
Autor:
Henderson, Peter, Chugg, Ben, Anderson, Brandon, Altenburger, Kristen, Turk, Alex, Guyton, John, Goldin, Jacob, Ho, Daniel E.
We introduce a new setting, optimize-and-estimate structured bandits. Here, a policy must select a batch of arms, each characterized by its own context, that would allow it to both maximize reward and maintain an accurate (ideally unbiased) populatio
Externí odkaz:
http://arxiv.org/abs/2204.11910
Autor:
Beauchamp, Daniel, Chugg, Keith M.
Current-steering (CS) digital-to-analog converters (DACs) generate analog signals by combining weighted current sources. Ideally, the current sources are combined at each switching instant simultaneously. However, this is not true in practice due to
Externí odkaz:
http://arxiv.org/abs/2203.08939
Concentrated Animal Feeding Operations (CAFOs) pose serious risks to air, water, and public health, but have proven to be challenging to regulate. The U.S. Government Accountability Office notes that a basic challenge is the lack of comprehensive loc
Externí odkaz:
http://arxiv.org/abs/2112.10988
We explore the promises and challenges of employing sequential decision-making algorithms -- such as bandits, reinforcement learning, and active learning -- in law and public policy. While such algorithms have well-characterized performance in the pr
Externí odkaz:
http://arxiv.org/abs/2112.06833