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