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Publications

Emde, C. et al. (2025) “Shh, don’t say that! Domain certification in LLMs”, in Proceedings of the 13th International Conference on Learning Representations (ICLR 2025). OpenReview.
Lo, T., Reinert, G. and Zhang, R. (2025) “Isolated vertices in two duplication-divergence models with edge deletion.”
Alfano, C. et al. (2025) “LEARNING MIRROR MAPS IN POLICY MIRROR DESCENT”, in 13th International Conference on Learning Representations Iclr 2025, pp. 60369–60387.
Johnson, E. et al. (2025) “Stochastic Shortest Path with Sparse Adversarial Costs”, in. Curran Associates, pp. 138390–138431.
Johnson, E. et al. (2025) “On the necessity of adaptive regularisation: Optimal anytime online learning on $\boldsymbol{\ell_p}$-balls”, in. Curran Associates, pp. 45375–45429.
Liu, X. et al. (2025) “Non-stationary Bandit Convex Optimization: A Comprehensive Study”, in. Curran Associates, pp. 73053–73093.
Mussati, B. et al. (2025) “PREDICTION-ORIENTED SUBSAMPLING FROM DATA STREAMS”, in Proceedings of Machine Learning Research.
Ter-Minassian, L. et al. (2025) “Hierarchical Bias-Driven Stratification for Interpretable Causal Effect Estimation”, in Proceedings of Machine Learning Research, pp. 1900–1908.
Fawkes, J. et al. (2025) “Is Merging Worth It? Securely Evaluating the Information Gain for Causal Dataset Acquisition”, in Proceedings of Machine Learning Research, pp. 1423–1431.
Wang, Z. and Holmes, C. (2025) “On Subjective Uncertainty Quantification and Calibration in Natural Language Generation”, in Proceedings of Machine Learning Research, pp. 3799–3807.