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09/08/2023
Graph Neural Networks Use Graphs When They Shouldn't
Predictions over graphs play a crucial role in various domains, includin...
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05/20/2023
The Case Against Explainability
As artificial intelligence (AI) becomes more prevalent there is a growin...
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07/06/2022
Graph Trees with Attention
When dealing with tabular data, models based on regression and decision ...
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06/16/2022
Inherent Inconsistencies of Feature Importance
The black-box nature of modern machine learning techniques invokes a pra...
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12/03/2021
PyBryt: auto-assessment and auto-grading for computational thinking
We continuously interact with computerized systems to achieve goals and ...
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10/22/2021
Break your Bandit Routine with LSD Rewards: a Last Switch Dependent Analysis of Satiation and Seasonality
Motivated by the fact that humans like some level of unpredictability or...
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03/13/2021
Robust Model Compression Using Deep Hypotheses
Machine Learning models should ideally be compact and robust. Compactnes...
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10/15/2020
Marginal Contribution Feature Importance – an Axiomatic Approach for The Natural Case
When training a predictive model over medical data, the goal is sometime...
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10/27/2019
Algorithmic Rewriting of Health-Related Ads to Improve their Performance
Search advertising is one of the most commonly-used methods of advertisi...
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10/27/2019
The Automated Copywriter: Algorithmic Rephrasing of Health-Related Advertisements to Improve their Performance
Search advertising is one of the most commonly-used methods of advertisi...
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04/28/2019
E-Gotsky: Sequencing Content using the Zone of Proximal Development
Vygotsky's notions of Zone of Proximal Development and Dynamic Assessmen...
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12/27/2018
Low Latency Privacy Preserving Inference
When applying machine learning to sensitive data, one has to balance bet...
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10/04/2018
Turning Lemons into Peaches using Secure Computation
In many cases, assessing the quality of goods is hard. For example, when...
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04/18/2018
Modeling and Simultaneously Removing Bias via Adversarial Neural Networks
In real world systems, the predictions of deployed Machine Learned model...
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05/07/2015
DART: Dropouts meet Multiple Additive Regression Trees
Multiple Additive Regression Trees (MART), an ensemble model of boosted ...
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12/18/2014
Crypto-Nets: Neural Networks over Encrypted Data
The problem we address is the following: how can a user employ a predict...
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11/28/2013
