Opinion Summarization for Hotel Reviews. - Bogdan Marchis; Alexandru Tifrea; Mihai Volmer; Traian Rebedea (RoCHI, 2015)

Poincare Glove: Hyperbolic Word Embeddings. - Alexandru Tifrea; Gary Bécigneul; Octavian-Eugen Ganea (ICLR (Poster), 2019)

Learn what you can't learn: Regularized Ensembles for Transductive Out-of-distribution Detection. - Alexandru Tifrea; Eric Stavarache; Fanny Yang (CoRR, 2020)

Novel Disease Detection Using Ensembles with Regularized Disagreement. - Alexandru Tifrea; Eric Stavarache; Fanny Yang (UNSURE/PIPPI@MICCAI, 2021)

Interpolation can hurt robust generalization even when there is no noise. - Konstantin Donhauser; Alexandru Tifrea; Michael Aerni; Reinhard Heckel; Fanny Yang (NeurIPS, 2021)

Semi-supervised novelty detection using ensembles with regularized disagreement. - Alexandru Tifrea; Eric Stavarache; Fanny Yang (UAI, 2022)

Uniform versus uncertainty sampling: When being active is less efficient than staying passive. - Alexandru Tifrea; Jacob Clarysse; Fanny Yang (CoRR, 2022)

Margin-based sampling in high dimensions: When being active is less efficient than staying passive. - Alexandru Tifrea; Jacob Clarysse; Fanny Yang (ICML, 2023)

Can semi-supervised learning use all the data effectively? A lower bound perspective. - Alexandru Tifrea; Gizem Yüce; Amartya Sanyal; Fanny Yang (NeurIPS, 2023)

FRAPPÉ: A Post-Processing Framework for Group Fairness Regularization. - Alexandru Tifrea; Preethi Lahoti; Ben Packer; Yoni Halpern; Ahmad Beirami; Flavien Prost (CoRR, 2023)

FRAPPÉ: A Group Fairness Framework for Post-Processing Everything. - Alexandru Tifrea; Preethi Lahoti; Ben Packer; Yoni Halpern; Ahmad Beirami; Flavien Prost (ICML, 2024)

Towards Trustworthy Machine Learning Using Unlabeled Data. - Alexandru Tifrea (2024)

Learning Pareto manifolds in high dimensions: How can regularization help? - Tobias Wegel; Filip Kovacevic; Alexandru Tifrea; Fanny Yang (AISTATS, 2025)