Alexander Soen

According to our database1, Alexander Soen authored at least 16 papers between 2019 and 2024.

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Bibliography

2024
pyBregMan: A Python library for Bregman Manifolds.
CoRR, 2024

Rejection via Learning Density Ratios.
CoRR, 2024

Tradeoffs of Diagonal Fisher Information Matrix Estimators.
CoRR, 2024

Tempered Calculus for ML: Application to Hyperbolic Model Embedding.
CoRR, 2024

Online Learning in Betting Markets: Profit versus Prediction.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Sampled Transformer for Point Sets.
CoRR, 2023

Fair Densities via Boosting the Sufficient Statistics of Exponential Families.
Proceedings of the International Conference on Machine Learning, 2023

2022
Interval-censored Hawkes processes.
J. Mach. Learn. Res., 2022

Fair Wrapping for Black-box Predictions.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Linking Across Data Granularity: Fitting Multivariate Hawkes Processes to Partially Interval-Censored Data.
CoRR, 2021

Interval-censored Hawkes processes.
CoRR, 2021

On the Variance of the Fisher Information for Deep Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

UNIPoint: Universally Approximating Point Processes Intensities.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Data Preprocessing to Mitigate Bias with Boosted Fair Mollifiers.
CoRR, 2020

Universal Approximation with Neural Intensity Point Processes.
CoRR, 2020

2019
Influence Flowers of Academic Entities.
Proceedings of the 14th IEEE Conference on Visual Analytics Science and Technology, 2019


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