Alexander Soen
10 papers · 2021–2025 · 5 venues · across top CS/AI venues
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Research topics
Machine Learning
(10)
Optimization & Theory
(7)
Core Methods
(5)
Mathematics & Optimization
(3)
Artificial Intelligence
(2)
Data Science & Analytics
(2)
Deep Learning
(2)
Application Areas
(2)
Bayesian & Probabilistic
(2)
Core AI
(2)
Probability
(2)
Applications
(1)
Architectures
(1)
Learning Types
(1)
Methods
(1)
Keywords
distribution shift
(2)
hawkes process
(2)
intensity function
(2)
fisher information matrix
(2)
algorithmic fairness
(2)
point process
(2)
stochastic process
(2)
boosting algorithm
(2)
uncertainty quantification
(1)
unsupervised domain adaptation
(1)
parameter estimation
(1)
deep learning
(1)
neural network optimization
(1)
loss landscape
(1)
metric learning
(1)
universal approximation
(1)
density ratio estimation
(1)
sample complexity
(1)
online learning
(1)
risk minimization
(1)
Papers
Domain Adaptation and Entanglement: an Optimal Transport Perspective
AISTATS 2025
Hyperbolic Embeddings of Supervised Models
NeurIPS 2024
Online Learning in Betting Markets: Profit versus Prediction
ICML 2024
Rejection via Learning Density Ratios
NeurIPS 2024
Trade-Offs of Diagonal Fisher Information Matrix Estimators
NeurIPS 2024
Fair Densities via Boosting the Sufficient Statistics of Exponential Families
ICML 2023
Fair Wrapping for Black-box Predictions
NeurIPS 2022
Interval-censored Hawkes processes
JMLR 2022
On the Variance of the Fisher Information for Deep Learning
NeurIPS 2021
UNIPoint: Universally Approximating Point Processes Intensities
AAAI 2021