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08/30/2023
Pandemic Pedagogy: Evaluating Remote Education Strategies during COVID-19
The COVID-19 pandemic precipitated an abrupt shift in the educational la...
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08/29/2023
Benchmarking the Generation of Fact Checking Explanations
Fighting misinformation is a challenging, yet crucial, task. Despite the...
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07/19/2023
Impatient Bandits: Optimizing Recommendations for the Long-Term Without Delay
Recommender systems are a ubiquitous feature of online platforms. Increa...
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07/12/2023
Navigating the Complexity of Generative AI Adoption in Software Engineering
In this paper, the adoption patterns of Generative Artificial Intelligen...
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06/20/2023
Neural Inventory Control in Networks via Hindsight Differentiable Policy Optimization
Inventory management offers unique opportunities for reliably evaluating...
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02/09/2023
An Information-Theoretic Analysis of Nonstationary Bandit Learning
In nonstationary bandit learning problems, the decision-maker must conti...
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02/07/2023
Optimizing Audio Recommendations for the Long-Term: A Reinforcement Learning Perspective
We study the problem of optimizing a recommender system for outcomes tha...
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01/30/2023
On the Statistical Benefits of Temporal Difference Learning
Given a dataset on actions and resulting long-term rewards, a direct est...
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01/30/2023
The Double-Edged Sword of Diversity: How Diversity, Conflict, and Psychological Safety Impact Agile Software Teams
Team diversity can be seen as a double-edged sword. It brings additional...
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03/28/2022
Recruiting Software Engineers on Prolific
Recruiting participants for software engineering research has been a pri...
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02/18/2022
Adaptivity and Confounding in Multi-Armed Bandit Experiments
We explore a new model of bandit experiments where a potentially nonstat...
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12/13/2021
From Anecdote to Evidence: The Relationship Between Personality and Need for Cognition of Developers
There is considerable anecdotal evidence suggesting that software engine...
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11/19/2021
Understanding Developers Well-Being and Productivity: A Longitudinal Analysis of the COVID-19 Pandemic
COVID-19 has likely been the most disruptive event at a global scale the...
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07/16/2021
Developers Task Satisfaction and Performance during the COVID-19 Pandemic
Following the onset of the COVID-19 pandemic and subsequent lockdowns, s...
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07/13/2021
The Impact of Working From Home on the Success of Scrum Projects: A Multi-Method Study
The number of companies opting for remote working has been increasing ov...
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05/26/2021
A Theory of Scrum Team Effectiveness
Scrum teams are the most important drivers to lead an Agile project to i...
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02/19/2021
Learning to Stop with Surprisingly Few Samples
We consider a discounted infinite horizon optimal stopping problem. If t...
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01/12/2021
The Daily Life of Software Engineers during the COVID-19 Pandemic
Following the onset of the COVID-19 pandemic and subsequent lockdowns, s...
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10/07/2020
Empirical Standards for Software Engineering Research
Empirical Standards are natural-language models of a scientific communit...
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07/24/2020
Predictors of Well-being and Productivity among Software Professionals during the COVID-19 Pandemic – A Longitudinal Study
The COVID-19 pandemic has forced governments worldwide to impose movemen...
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07/22/2020
Approximation Benefits of Policy Gradient Methods with Aggregated States
Folklore suggests that policy gradient can be more robust to misspecific...
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07/21/2020
A Note on the Linear Convergence of Policy Gradient Methods
We revisit the finite time analysis of policy gradient methods in the si...
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09/04/2019
SQuAP-Ont: an Ontology of Software Quality Relational Factors from Financial Systems
Quality, architecture, and process are considered the keystones of softw...
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06/07/2019
Worst-Case Regret Bounds for Exploration via Randomized Value Functions
This paper studies a recent proposal to use randomized value functions t...
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06/05/2019
Global Optimality Guarantees For Policy Gradient Methods
Policy gradients methods are perhaps the most widely used class of reinf...
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04/09/2019
A Note on the Equivalence of Upper Confidence Bounds and Gittins Indices for Patient Agents
This note gives a short, self-contained, proof of a sharp connection bet...
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06/06/2018
A Finite Time Analysis of Temporal Difference Learning With Linear Function Approximation
Temporal difference learning (TD) is a simple iterative algorithm used t...
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03/07/2018
Satisficing in Time-Sensitive Bandit Learning
Much of the recent literature on bandit learning focuses on algorithms t...
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05/29/2017
Improving the Expected Improvement Algorithm
The expected improvement (EI) algorithm is a popular strategy for inform...
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03/22/2017
Deep Exploration via Randomized Value Functions
We study the use of randomized value functions to guide deep exploration...
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11/16/2015
How much does your data exploration overfit? Controlling bias via information usage
Modern data is messy and high-dimensional, and it is often not clear a p...
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06/04/2013