Alexander Soen

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Fisher Information

Projective Transformations

Point Processes

Top Venues

J. Mach. Learn. Res.

Publications

Alexander Soen, Hisham Husain, Philip Schulz, Vu Nguyen
Rejection via Learning Density Ratios. CoRR (2024)
Richard Nock, Ehsan Amid, Frank Nielsen, Alexander Soen, Manfred K. Warmuth
Tempered Calculus for ML: Application to Hyperbolic Model Embedding. CoRR (2024)
Alexander Soen, Ke Sun
Tradeoffs of Diagonal Fisher Information Matrix Estimators. CoRR (2024)
Haiqing Zhu, Alexander Soen, Yun Kuen Cheung, Lexing Xie
Online Learning in Betting Markets: Profit versus Prediction. CoRR (2024)
Alexander Soen, Hisham Husain, Richard Nock
Fair Densities via Boosting the Sufficient Statistics of Exponential Families. ICML (2023)
Shidi Li, Christian Walder, Alexander Soen, Lexing Xie, Miaomiao Liu
Sampled Transformer for Point Sets. CoRR (2023)
Alexander Soen, Ibrahim M. Alabdulmohsin, Sanmi Koyejo, Yishay Mansour, Nyalleng Moorosi, Richard Nock, Ke Sun, Lexing Xie
Fair Wrapping for Black-box Predictions. NeurIPS (2022)
Marian-Andrei Rizoiu, Alexander Soen, Shidi Li, Pio Calderon, Leanne Dong, Aditya Krishna Menon, Lexing Xie
Interval-censored Hawkes processes. J. Mach. Learn. Res. 23 (2022)
Alexander Soen, Ibrahim Alabdulmohsin, Sanmi Koyejo, Yishay Mansour, Nyalleng Moorosi, Richard Nock, Ke Sun, Lexing Xie
Fair Wrapping for Black-box Predictions. CoRR (2022)
Alexander Soen, Ke Sun
On the Variance of the Fisher Information for Deep Learning. CoRR (2021)
Alexander Soen, Alexander Patrick Mathews, Daniel Grixti-Cheng, Lexing Xie
UNIPoint: Universally Approximating Point Processes Intensities. AAAI (2021)
Marian-Andrei Rizoiu, Alexander Soen, Shidi Li, Leanne Dong, Aditya Krishna Menon, Lexing Xie
Interval-censored Hawkes processes. CoRR (2021)
Alexander Soen, Ke Sun
On the Variance of the Fisher Information for Deep Learning. NeurIPS (2021)
Pio Calderon, Alexander Soen, Marian-Andrei Rizoiu
Linking Across Data Granularity: Fitting Multivariate Hawkes Processes to Partially Interval-Censored Data. CoRR (2021)
Alexander Soen, Hisham Husain, Richard Nock
Data Preprocessing to Mitigate Bias with Boosted Fair Mollifiers. CoRR (2020)
Alexander Soen, Alexander Patrick Mathews, Daniel Grixti-Cheng, Lexing Xie
Universal Approximation with Neural Intensity Point Processes. CoRR (2020)
Minjeong Shin, Alexander Soen, Benjamin T. Readshaw, Stephen M. Blackburn, Mitchell Whitelaw, Lexing Xie
Influence Flowers of Academic Entities. VAST (2019)
Minjeong Shin, Alexander Soen, Benjamin T. Readshaw, Stephen M. Blackburn, Mitchell Whitelaw, Lexing Xie
Influence Flowers of Academic Entities. CoRR (2019)