Influence Flowers of Academic Entities. - Minjeong Shin; Alexander Soen; Benjamin T. Readshaw; Stephen M. Blackburn; Mitchell Whitelaw; Lexing Xie (VAST, 2019)

Universal Approximation with Neural Intensity Point Processes. - Alexander Soen; Alexander Patrick Mathews; Daniel Grixti-Cheng; Lexing Xie (CoRR, 2020)

Data Preprocessing to Mitigate Bias with Boosted Fair Mollifiers. - Alexander Soen; Hisham Husain; Richard Nock (CoRR, 2020)

UNIPoint: Universally Approximating Point Processes Intensities. - Alexander Soen; Alexander Patrick Mathews; Daniel Grixti-Cheng; Lexing Xie (AAAI, 2021)

On the Variance of the Fisher Information for Deep Learning. - Alexander Soen; Ke Sun 001 (NeurIPS, 2021)

Interval-censored Hawkes processes. - Marian-Andrei Rizoiu; Alexander Soen; Shidi Li; Leanne Dong; Aditya Krishna Menon; Lexing Xie (CoRR, 2021)

Fair Wrapping for Black-box Predictions. - Alexander Soen; Ibrahim M. Alabdulmohsin; Sanmi Koyejo; Yishay Mansour; Nyalleng Moorosi; Richard Nock; Ke Sun 001; Lexing Xie (NeurIPS, 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 Densities via Boosting the Sufficient Statistics of Exponential Families. - Alexander Soen; Hisham Husain; Richard Nock (ICML, 2023)

Sampled Transformer for Point Sets. - Shidi Li; Christian Walder; Alexander Soen; Lexing Xie; Miaomiao Liu (CoRR, 2023)

Online Learning in Betting Markets: Profit versus Prediction. - Haiqing Zhu; Alexander Soen; Yun Kuen Cheung; Lexing Xie (ICML, 2024)

Hyperbolic Embeddings of Supervised Models. - Richard Nock; Ehsan Amid; Frank Nielsen; Alexander Soen; Manfred K. Warmuth (NeurIPS, 2024)

Trade-Offs of Diagonal Fisher Information Matrix Estimators. - Alexander Soen; Ke Sun 001 (NeurIPS, 2024)

Rejection via Learning Density Ratios. - Alexander Soen; Hisham Husain; Philip Schulz; Vu Nguyen (NeurIPS, 2024)

Tempered Calculus for ML: Application to Hyperbolic Model Embedding. - Richard Nock; Ehsan Amid; Frank Nielsen; Alexander Soen; Manfred K. Warmuth (CoRR, 2024)

Tradeoffs of Diagonal Fisher Information Matrix Estimators. - Alexander Soen; Ke Sun 001 (CoRR, 2024)

pyBregMan: A Python library for Bregman Manifolds. - Frank Nielsen; Alexander Soen (CoRR, 2024)

Domain Adaptation and Entanglement: an Optimal Transport Perspective. - Okan Koc; Alexander Soen; Chao-Kai Chiang; Masashi Sugiyama (AISTATS, 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., 2025)

A Connection Between Learning to Reject and Bhattacharyya Divergences. - Alexander Soen (CoRR, 2025)