Alexander Soen

28 papers A* 8A 1Journal 17Unranked 2
YearRankTypeTitle / Venue / Authors
2025 — conf
A Connection Between Learning to Reject and Bhattacharyya Divergences.
GSI (1)
Alexander Soen
2025 J jnl
A Connection Between Learning to Reject and Bhattacharyya Divergences.
CoRR
Alexander Soen
2025 A conf
Domain Adaptation and Entanglement: an Optimal Transport Perspective.
AISTATS
Okan Koc, Alexander Soen, Chao-Kai Chiang, Masashi Sugiyama
2025 J jnl
Domain Adaptation and Entanglement: an Optimal Transport Perspective.
CoRR
Okan Koc, Alexander Soen, Chao-Kai Chiang, Masashi Sugiyama
2025 J jnl
Linking Across Data Granularity: Fitting Multivariate Hawkes Processes to Partially Interval-Censored Data.
IEEE Trans. Comput. Soc. Syst.
Pio Calderon, Alexander Soen, Marian-Andrei Rizoiu
2024 A* conf
Hyperbolic Embeddings of Supervised Models.
NeurIPS
Richard Nock, Ehsan Amid, Frank Nielsen, Alexander Soen, Manfred K. Warmuth
2024 A* conf
Online Learning in Betting Markets: Profit versus Prediction.
ICML
Haiqing Zhu, Alexander Soen, Yun Kuen Cheung, Lexing Xie
2024 J jnl
Online Learning in Betting Markets: Profit versus Prediction.
CoRR
Haiqing Zhu, Alexander Soen, Yun Kuen Cheung, Lexing Xie
2024 A* conf
Rejection via Learning Density Ratios.
NeurIPS
Alexander Soen, Hisham Husain, Philip Schulz, Vu Nguyen
2024 J jnl
Rejection via Learning Density Ratios.
CoRR
Alexander Soen, Hisham Husain, Philip Schulz, Vu Nguyen
2024 J jnl
Tempered Calculus for ML: Application to Hyperbolic Model Embedding.
CoRR
Richard Nock, Ehsan Amid, Frank Nielsen, Alexander Soen, Manfred K. Warmuth
2024 A* conf
Trade-Offs of Diagonal Fisher Information Matrix Estimators.
NeurIPS
Alexander Soen, Ke Sun
2024 J jnl
Tradeoffs of Diagonal Fisher Information Matrix Estimators.
CoRR
Alexander Soen, Ke Sun
2024 J jnl
pyBregMan: A Python library for Bregman Manifolds.
CoRR
Frank Nielsen, Alexander Soen
2023 A* conf
Fair Densities via Boosting the Sufficient Statistics of Exponential Families.
ICML
Alexander Soen, Hisham Husain, Richard Nock
2023 J jnl
Sampled Transformer for Point Sets.
CoRR
Shidi Li, Christian Walder, Alexander Soen, Lexing Xie, Miaomiao Liu
2022 A* conf
Fair Wrapping for Black-box Predictions.
NeurIPS
Alexander Soen, Ibrahim M. Alabdulmohsin, Sanmi Koyejo, Yishay Mansour, Nyalleng Moorosi, Richard Nock, Ke Sun, Lexing Xie
2022 J jnl
Fair Wrapping for Black-box Predictions.
CoRR
Alexander Soen, Ibrahim Alabdulmohsin, Sanmi Koyejo, Yishay Mansour, Nyalleng Moorosi, Richard Nock, Ke Sun, Lexing Xie
2022 J jnl
Interval-censored Hawkes processes.
J. Mach. Learn. Res.
Marian-Andrei Rizoiu, Alexander Soen, Shidi Li, Pio Calderon, Leanne Dong, Aditya Krishna Menon, Lexing Xie
2021 J jnl
Interval-censored Hawkes processes.
CoRR
Marian-Andrei Rizoiu, Alexander Soen, Shidi Li, Leanne Dong, Aditya Krishna Menon, Lexing Xie
2021 J jnl
Linking Across Data Granularity: Fitting Multivariate Hawkes Processes to Partially Interval-Censored Data.
CoRR
Pio Calderon, Alexander Soen, Marian-Andrei Rizoiu
2021 A* conf
On the Variance of the Fisher Information for Deep Learning.
NeurIPS
Alexander Soen, Ke Sun
2021 J jnl
On the Variance of the Fisher Information for Deep Learning.
CoRR
Alexander Soen, Ke Sun
2021 A* conf
UNIPoint: Universally Approximating Point Processes Intensities.
AAAI
Alexander Soen, Alexander Patrick Mathews, Daniel Grixti-Cheng, Lexing Xie
2020 J jnl
Data Preprocessing to Mitigate Bias with Boosted Fair Mollifiers.
CoRR
Alexander Soen, Hisham Husain, Richard Nock
2020 J jnl
Universal Approximation with Neural Intensity Point Processes.
CoRR
Alexander Soen, Alexander Patrick Mathews, Daniel Grixti-Cheng, Lexing Xie
2019 — conf
Influence Flowers of Academic Entities.
VAST
Minjeong Shin, Alexander Soen, Benjamin T. Readshaw, Stephen M. Blackburn, Mitchell Whitelaw, Lexing Xie
2019 J jnl
Influence Flowers of Academic Entities.
CoRR
Minjeong Shin, Alexander Soen, Benjamin T. Readshaw, Stephen M. Blackburn, Mitchell Whitelaw, Lexing Xie