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34 Publications
2025 | Published | Conference Paper | IST-REx-ID: 20256 | 
Henzinger TA, Kresse F, Mallik K, Yu E, Zikelic D. Predictive monitoring of black-box dynamical systems. In: 7th Annual Learning for Dynamics & Control Conference. Vol 283. ML Research Press; 2025:804-816.
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| arXiv
2025 | Published | Conference Paper | IST-REx-ID: 20299 |
Asadi A, Chatterjee K, De Raaij J. Lower bound on Howard policy iteration for deterministic Markov Decision Processes. In: The 41st Conference on Uncertainty in Artificial Intelligence. Vol 286. ML Research Press; 2025:223-232.
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| arXiv
2025 | Published | Conference Paper | IST-REx-ID: 20301 |
Henzinger M, Sricharan AR, Steiner TA. Differentially private continual release of histograms and related queries. In: The 28th International Conference on Artificial Intelligence and Statistics. Vol 258. ML Research Press; 2025:1990-1998.
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| arXiv
2025 | Published | Conference Paper | IST-REx-ID: 20302 |
Luo R, Stich SU, Horváth S, Takáč M. Revisiting LocalSGD and SCAFFOLD: Improved rates and missing analysis. In: The 28th International Conference on Artificial Intelligence and Statistics. Vol 258. ML Research Press; 2025:2539-2547.
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| arXiv
2025 | Published | Conference Paper | IST-REx-ID: 20303 |
Huang S, Pfister N, Bowden J. Sparse causal effect estimation using two-sample summary statistics in the presence of unmeasured confounding. In: The 28th International Conference on Artificial Intelligence and Statistics. Vol 258. ML Research Press; 2025:3394-3402.
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| arXiv
2025 | Published | Conference Paper | IST-REx-ID: 20300 |
Wegel T, Kovačević F, Ţifrea A, Yang F. Learning Pareto manifolds in high dimensions: How can regularization help? In: The 28th International Conference on Artificial Intelligence and Statistics. Vol 258. ML Research Press; 2025:4591-4599.
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| arXiv
2025 | Published | Conference Paper | IST-REx-ID: 20297 |
Asadi A, Chatterjee K, Saona Urmeneta RJ, Shafiee A. Limit-sure reachability for small memory policies in POMDPs is NP-complete. In: The 41st Conference on Uncertainty in Artificial Intelligence. Vol 286. ML Research Press; 2025:238-247.
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| arXiv
2025 | Published | Conference Paper | IST-REx-ID: 20296 |
Kresse F, Yu E, Lampert C, Henzinger TA. Logic gate neural networks are good for verification. In: 2nd International Conferenceon Neuro-Symbolic Systems. Vol 288. ML Research Press; 2025.
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| arXiv
2025 | Published | Conference Paper | IST-REx-ID: 20298 |
Kalinin N, Steinberger L. Efficient estimation of a Gaussian mean with local differential privacy. In: Proceedings of the 28th International Conference on Artificial Intelligence and Statistics. Vol 258. ML Research Press; 2025:118-126.
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| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 17093 |
Zakerinia H, Talaei S, Nadiradze G, Alistarh D-A. Communication-efficient federated learning with data and client heterogeneity. In: Proceedings of the 27th International Conference on Artificial Intelligence and Statistics. Vol 238. ML Research Press; 2024:3448-3456.
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| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 15011 |
Kurtic E, Hoefler T, Alistarh D-A. How to prune your language model: Recovering accuracy on the “Sparsity May Cry” benchmark. In: Proceedings of Machine Learning Research. Vol 234. ML Research Press; 2024:542-553.
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| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 18113 |
Egiazarian V, Panferov A, Kuznedelev D, Frantar E, Babenko A, Alistarh D-A. Extreme compression of large language models via additive quantization. In: Proceedings of the 41st International Conference on Machine Learning. Vol 235. ML Research Press; 2024:12284-12303.
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| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 18114 |
Pervez AA, Locatello F, Gavves E. Mechanistic neural networks for scientific machine learning. In: Proceedings of the 41st International Conference on Machine Learning. Vol 235. ML Research Press; 2024:40484-40501.
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| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 18117 |
Nikdan M, Tabesh S, Crncevic E, Alistarh D-A. RoSA: Accurate parameter-efficient fine-tuning via robust adaptation. In: Proceedings of the 41st International Conference on Machine Learning. Vol 235. ML Research Press; 2024:38187-38206.
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| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 18118 |
Zakerinia H, Behjati A, Lampert C. More flexible PAC-Bayesian meta-learning by learning learning algorithms. In: Proceedings of the 41st International Conference on Machine Learning. Vol 235. ML Research Press; 2024:58122-58139.
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| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 18120 |
Scott JA, Cahill Á. Improved modelling of federated datasets using mixtures-of-Dirichlet-multinomials. In: Proceedings of the 41st International Conference on Machine Learning. Vol 235. ML Research Press; 2024:44012-44037.
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| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 18975 |
Modoranu I-V, Kalinov A, Kurtic E, Frantar E, Alistarh D-A. Error feedback can accurately compress preconditioners. In: 41st International Conference on Machine Learning. Vol 235. ML Research Press; 2024:35910-35933.
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| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 18971 |
Arefin R, Zhang Y, Baratin A, et al. Unsupervised concept discovery mitigates spurious correlations. In: Proceedings of the 41st International Conference on Machine Learning. Vol 235. ML Research Press; 2024:1672-1688.
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| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 18976 |
Islamov R, Safaryan M, Alistarh D-A. AsGrad: A sharp unified analysis of asynchronous-SGD algorithms. In: Proceedings of The 27th International Conference on Artificial Intelligence and Statistics. Vol 238. ML Research Press; 2024:649-657.
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| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 18973 |
Bombari S, Mondelli M. Towards understanding the word sensitivity of attention layers: A study via random features. In: 41st International Conference on Machine Learning. Vol 235. ML Research Press; 2024:4300-4328.
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| arXiv