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2020 – today
- 2024
[c9]Haiqing Zhu, Alexander Soen, Yun Kuen Cheung, Lexing Xie:
Online Learning in Betting Markets: Profit versus Prediction. ICML 2024- [c8]Richard Nock, Ehsan Amid, Frank Nielsen, Alexander Soen, Manfred K. Warmuth:
Hyperbolic Embeddings of Supervised Models. NeurIPS 2024 - [c7]Alexander Soen, Ke Sun:
Trade-Offs of Diagonal Fisher Information Matrix Estimators. NeurIPS 2024 - [c6]Alexander Soen, Hisham Husain, Philip Schulz, Vu Nguyen:
Rejection via Learning Density Ratios. NeurIPS 2024 - [i13]Richard Nock, Ehsan Amid, Frank Nielsen, Alexander Soen, Manfred K. Warmuth:
Tempered Calculus for ML: Application to Hyperbolic Model Embedding. CoRR abs/2402.04163 (2024) - [i12]Alexander Soen, Ke Sun:
Tradeoffs of Diagonal Fisher Information Matrix Estimators. CoRR abs/2402.05379 (2024) - [i11]Alexander Soen, Hisham Husain, Philip Schulz, Vu Nguyen:
Rejection via Learning Density Ratios. CoRR abs/2405.18686 (2024) - [i10]Haiqing Zhu, Alexander Soen, Yun Kuen Cheung, Lexing Xie:
Online Learning in Betting Markets: Profit versus Prediction. CoRR abs/2406.04062 (2024) - [i9]Frank Nielsen, Alexander Soen:
pyBregMan: A Python library for Bregman Manifolds. CoRR abs/2408.04175 (2024) - 2023
- [c5]Alexander Soen, Hisham Husain, Richard Nock:
Fair Densities via Boosting the Sufficient Statistics of Exponential Families. ICML 2023: 32105-32144 - [i8]Shidi Li, Christian Walder, Alexander Soen, Lexing Xie, Miaomiao Liu:
Sampled Transformer for Point Sets. CoRR abs/2302.14346 (2023) - 2022
- [j1]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: 338:1-338:84 (2022) - [c4]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 - [i7]Alexander Soen, Ibrahim Alabdulmohsin, Sanmi Koyejo, Yishay Mansour, Nyalleng Moorosi, Richard Nock, Ke Sun, Lexing Xie:
Fair Wrapping for Black-box Predictions. CoRR abs/2201.12947 (2022) - 2021
- [c3]Alexander Soen, Alexander Patrick Mathews, Daniel Grixti-Cheng, Lexing Xie:
UNIPoint: Universally Approximating Point Processes Intensities. AAAI 2021: 9685-9694 - [c2]Alexander Soen, Ke Sun:
On the Variance of the Fisher Information for Deep Learning. NeurIPS 2021: 5708-5719 - [i6]Marian-Andrei Rizoiu
, Alexander Soen, Shidi Li, Leanne Dong, Aditya Krishna Menon, Lexing Xie:
Interval-censored Hawkes processes. CoRR abs/2104.07932 (2021) - [i5]Alexander Soen, Ke Sun:
On the Variance of the Fisher Information for Deep Learning. CoRR abs/2107.04205 (2021) - [i4]Pio Calderon, Alexander Soen, Marian-Andrei Rizoiu:
Linking Across Data Granularity: Fitting Multivariate Hawkes Processes to Partially Interval-Censored Data. CoRR abs/2111.02062 (2021) - 2020
- [i3]Alexander Soen, Alexander Patrick Mathews, Daniel Grixti-Cheng, Lexing Xie:
Universal Approximation with Neural Intensity Point Processes. CoRR abs/2007.14082 (2020) - [i2]Alexander Soen, Hisham Husain, Richard Nock:
Data Preprocessing to Mitigate Bias with Boosted Fair Mollifiers. CoRR abs/2012.00188 (2020)
2010 – 2019
- 2019
- [c1]Minjeong Shin, Alexander Soen, Benjamin T. Readshaw, Stephen M. Blackburn, Mitchell Whitelaw, Lexing Xie:
Influence Flowers of Academic Entities. VAST 2019: 1-10 - [i1]Minjeong Shin, Alexander Soen, Benjamin T. Readshaw, Stephen M. Blackburn, Mitchell Whitelaw, Lexing Xie:
Influence Flowers of Academic Entities. CoRR abs/1907.12748 (2019)
Coauthor Index
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