Efstathia Bura

15 papers A* 1B 1Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Exact Upper and Lower Bounds for the Output Distribution of Neural Networks with Random Inputs. ICML Andrey Kofnov, Daniel Kapla, Ezio Bartocci, Efstathia Bura
2025	J	`jnl`	Exact Upper and Lower Bounds for the Output Distribution of Neural Networks with Random Inputs. CoRR Andrey Kofnov, Daniel Kapla, Ezio Bartocci, Efstathia Bura
2024	J	`jnl`	Exact and Approximate Moment Derivation for Probabilistic Loops With Non-Polynomial Assignments. ACM Trans. Model. Comput. Simul. Andrey Kofnov, Marcel Moosbrugger, Miroslav Stankovic, Ezio Bartocci, Efstathia Bura
2023	J	`jnl`	Density Elicitation with applications in Probabilistic Loops. CoRR Andrey Kofnov, Ezio Bartocci, Efstathia Bura
2023	J	`jnl`	Exact and Approximate Moment Derivation for Probabilistic Loops With Non-Polynomial Assignments. CoRR Andrey Kofnov, Marcel Moosbrugger, Miroslav Stankovic, Ezio Bartocci, Efstathia Bura
2022	—	`conf`	Distribution Estimation for Probabilistic Loops. QEST Ahmad Karimi, Marcel Moosbrugger, Miroslav Stankovic, Laura Kovács, Ezio Bartocci, Efstathia Bura
2022	J	`jnl`	Fusing sufficient dimension reduction with neural networks. Comput. Stat. Data Anal. Daniel Kapla, Lukas Fertl, Efstathia Bura
2022	—	`conf`	Moment-Based Invariants for Probabilistic Loops with Non-polynomial Assignments. QEST Andrey Kofnov, Marcel Moosbrugger, Miroslav Stankovic, Ezio Bartocci, Efstathia Bura
2022	J	`jnl`	Moment-based Invariants for Probabilistic Loops with Non-polynomial Assignments. CoRR Andrey Kofnov, Marcel Moosbrugger, Miroslav Stankovic, Ezio Bartocci, Efstathia Bura
2022	J	`jnl`	Sufficient reductions in regression with mixed predictors. J. Mach. Learn. Res. Efstathia Bura, Liliana Forzani, Rodrigo García Arancibia, Pamela Llop, Diego Tomassi
2021	J	`jnl`	Least squares and maximum likelihood estimation of sufficient reductions in regressions with matrix-valued predictors. Int. J. Data Sci. Anal. Ruth M. Pfeiffer, Daniel Kapla, Efstathia Bura
2020	J	`jnl`	Assessment of Treatment Influence in Mobile Network Coverage on Board High-Speed Trains. IEEE Access Orlando Trindade, Taulant Berisha, Philipp Svoboda, Efstathia Bura, Christoph F. Mecklenbräuker
2019	B	`conf`	Least Squares and Maximum Likelihood Estimation of Sufficient Reductions in Regressions with Matrix Valued Predictors. DSAA Ruth M. Pfeiffer, Wei Wang, Efstathia Bura
2011	J	`jnl`	Dimension estimation in sufficient dimension reduction: A unifying approach. J. Multivar. Anal. Efstathia Bura, Jiao Yang
2003	J	`jnl`	Graphical Methods for Class Prediction Using Dimension Reduction Techniques on DNA Microarray Data. Bioinform. Efstathia Bura, Ruth M. Pfeiffer