Alexander Soen

According to our database, Alexander Soen authored at least 20 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

A Connection Between Learning to Reject and Bhattacharyya Divergences.

Alexander Soen

CoRR, May, 2025

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

Pio Calderon, Alexander Soen, Marian-Andrei Rizoiu

IEEE Trans. Comput. Soc. Syst., February, 2025

Domain Adaptation and Entanglement: an Optimal Transport Perspective.

Okan Koc, Alexander Soen, Chao-Kai Chiang, Masashi Sugiyama

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

pyBregMan: A Python library for Bregman Manifolds.

Frank Nielsen, Alexander Soen

CoRR, 2024

Tradeoffs of Diagonal Fisher Information Matrix Estimators.

Alexander Soen, Ke Sun

CoRR, 2024

Tempered Calculus for ML: Application to Hyperbolic Model Embedding.

Richard Nock, Ehsan Amid, Frank Nielsen, Alexander Soen, Manfred K. Warmuth

CoRR, 2024

Rejection via Learning Density Ratios.

Alexander Soen, Hisham Husain, Philip Schulz, Vu Nguyen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Trade-Offs of Diagonal Fisher Information Matrix Estimators.

Alexander Soen, Ke Sun

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Hyperbolic Embeddings of Supervised Models.

Richard Nock, Ehsan Amid, Frank Nielsen, Alexander Soen, Manfred K. Warmuth

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Online Learning in Betting Markets: Profit versus Prediction.

Haiqing Zhu, Alexander Soen, Yun Kuen Cheung, Lexing Xie

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Sampled Transformer for Point Sets.

Shidi Li, Christian Walder, Alexander Soen, Lexing Xie, Miaomiao Liu

CoRR, 2023

Fair Densities via Boosting the Sufficient Statistics of Exponential Families.

Alexander Soen, Hisham Husain, Richard Nock

Proceedings of the International Conference on Machine Learning, 2023

2022

Interval-censored Hawkes processes.

Marian-Andrei Rizoiu, Alexander Soen, Shidi Li, Pio Calderon, Leanne Dong, Aditya Krishna Menon, Lexing Xie

J. Mach. Learn. Res., 2022

Fair Wrapping for Black-box Predictions.

Alexander Soen, Ibrahim M. Alabdulmohsin, Sanmi Koyejo, Yishay Mansour, Nyalleng Moorosi, Richard Nock, Ke Sun, Lexing Xie

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Interval-censored Hawkes processes.

Marian-Andrei Rizoiu, Alexander Soen, Shidi Li, Leanne Dong, Aditya Krishna Menon, Lexing Xie

CoRR, 2021

On the Variance of the Fisher Information for Deep Learning.

Alexander Soen, Ke Sun

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.

Alexander Soen, Alexander Patrick Mathews, Daniel Grixti-Cheng, Lexing Xie

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Data Preprocessing to Mitigate Bias with Boosted Fair Mollifiers.

Alexander Soen, Hisham Husain, Richard Nock

CoRR, 2020

Universal Approximation with Neural Intensity Point Processes.

Alexander Soen, Alexander Patrick Mathews, Daniel Grixti-Cheng, Lexing Xie

CoRR, 2020

2019

Influence Flowers of Academic Entities.

Minjeong Shin, Alexander Soen, Benjamin T. Readshaw, Stephen M. Blackburn, Mitchell Whitelaw, Lexing Xie

Proceedings of the 14th IEEE Conference on Visual Analytics Science and Technology, 2019