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05/23/2023
NCC: Natural Concurrency Control for Strictly Serializable Datastores by Avoiding the Timestamp-Inversion Pitfall
Strictly serializable datastores greatly simplify the development of cor...
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01/27/2023
Variance, Self-Consistency, and Arbitrariness in Fair Classification
In fair classification, it is common to train a model, and to compare an...
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08/02/2022
Detecting Individual Decision-Making Style: Exploring Behavioral Stylometry in Chess
The advent of machine learning models that surpass human decision-making...
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07/19/2022
Mimetic Models: Ethical Implications of AI that Acts Like You
An emerging theme in artificial intelligence research is the creation of...
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06/20/2022
Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments
We develop a new, principled algorithm for estimating the contribution o...
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10/28/2021
Sayer: Using Implicit Feedback to Optimize System Policies
We observe that many system policies that make threshold decisions invol...
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08/23/2020
Learning Personalized Models of Human Behavior in Chess
Even when machine learning systems surpass human ability in a domain, th...
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08/11/2020
SENSEI: Aligning Video Streaming Quality with Dynamic User Sensitivity
This paper aims to improve video streaming by leveraging a simple observ...
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08/10/2020
A New Abstraction for Internet QoE Optimization
A perennial quest in networking research is how to achieve higher qualit...
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06/02/2020
Aligning Superhuman AI and Human Behavior: Chess as a Model System
As artificial intelligence becomes increasingly intelligent—in some case...
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10/29/2019
Disaggregation and the Application
This paper examines disaggregated data center architectures from the per...
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03/29/2019
SysML: The New Frontier of Machine Learning Systems
Machine learning (ML) techniques are enjoying rapidly increasing adoptio...
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12/31/2018