Kozdoba, Mark

10 publications

NeurIPS 2025 Efficient Fairness-Performance Pareto Front Computation Mark Kozdoba, Binyamin Perets, Shie Mannor

ICLRW 2025 From Medical Literature to Predictive Features: An Evidence-Based Knowledge Graph Approach Donghee Choi, Antoine D Lain, Joram M. Posma, Mark Kozdoba, Binyamin Perets, Shie Mannor

ICML 2024 Sobolev Space Regularised Pre Density Models Mark Kozdoba, Binyamin Perets, Shie Mannor

ICML 2023 Learning Hidden Markov Models When the Locations of Missing Observations Are Unknown Binyamin Perets, Mark Kozdoba, Shie Mannor

NeurIPSW 2023 Unnormalized Density Estimation with Root Sobolev Norm Regularization Mark Kozdoba, Binyamin Perets, Shie Mannor

NeurIPSW 2023 Unnormalized Density Estimation with Root Sobolev Norm Regularization Mark Kozdoba, Binyamin Perets, Shie Mannor

NeurIPS 2022 Finite Sample Analysis of Dynamic Regression Parameter Learning Mark Kozdoba, Edward Moroshko, Shie Mannor, Yacov Crammer

ICML 2020 Topic Modeling via Full Dependence Mixtures Dan Fisher, Mark Kozdoba, Shie Mannor

AAAI 2019 On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters Mark Kozdoba, Jakub Marecek, Tigran T. Tchrakian, Shie Mannor

NeurIPS 2015 Community Detection via Measure Space Embedding Mark Kozdoba, Shie Mannor