On projections of metric spaces. - Mark Kozdoba (J. Comput. Geom., 2014)

Community Detection via Measure Space Embedding. - Mark Kozdoba; Shie Mannor (NIPS, 2015)

Overlapping Communities Detection via Measure Space Embedding. - Mark Kozdoba; Shie Mannor (CoRR, 2015)

Overlapping Community Detection by Online Cluster Aggregation. - Mark Kozdoba; Shie Mannor (CoRR, 2015)

A Reinforcement Learning System to Encourage Physical Activity in Diabetes Patients. - Irit Hochberg; Guy Feraru; Mark Kozdoba; Shie Mannor; Moshe Tennenholtz; Elad Yom-Tov (CoRR, 2016)

Clustering Time Series and the Surprising Robustness of HMMs. - Mark Kozdoba; Shie Mannor (CoRR, 2016)

Interdependent Gibbs Samplers. - Mark Kozdoba; Shie Mannor (CoRR, 2018)

Multi Instance Learning For Unbalanced Data. - Mark Kozdoba; Edward Moroshko; Lior Shani; Takuya Takagi; Takashi Katoh; Shie Mannor; Koby Crammer (CoRR, 2018)

Source Estimation in Time Series and the Surprising Resilience of HMMs. - Mark Kozdoba; Shie Mannor (IEEE Trans. Inf. Theory, 2018)

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

Variance Estimation For Online Regression via Spectrum Thresholding. - Mark Kozdoba; Edward Moroshko; Shie Mannor; Koby Crammer (CoRR, 2019)

Topic Modeling via Full Dependence Mixtures. - Dan Fisher; Mark Kozdoba; Shie Mannor (ICML, 2020)

Dimension Free Generalization Bounds for Non Linear Metric Learning. - Mark Kozdoba; Shie Mannor (CoRR, 2021)

Finite Sample Analysis Of Dynamic Regression Parameter Learning. - Mark Kozdoba; Edward Moroshko; Shie Mannor; Yacov Crammer (NeurIPS, 2022)

Whats Missing? Learning Hidden Markov Models When the Locations of Missing Observations are Unknown. - Binyamin Perets; Mark Kozdoba; Shie Mannor (CoRR, 2022)

Learning Hidden Markov Models When the Locations of Missing Observations are Unknown. - Binyamin Perets; Mark Kozdoba; Shie Mannor (ICML, 2023)

Implicitly Normalized Explicitly Regularized Density Estimation. - Mark Kozdoba; Binyamin Perets; Shie Mannor (CoRR, 2023)

Sobolev Space Regularised Pre Density Models. - Mark Kozdoba; Binyamin Perets; Shie Mannor (ICML, 2024)

Efficient Fairness-Performance Pareto Front Computation. - Mark Kozdoba; Binyamin Perets; Shie Mannor (CoRR, 2024)

Bias Detection via Maximum Subgroup Discrepancy. - Jiri Nemecek 002; Mark Kozdoba; Illia Kryvoviaz; Tomás Pevný; Jakub Marecek (CoRR, 2025)

Representative Action Selection for Large Action-Space Meta-Bandits. - Quan Zhou; Mark Kozdoba; Shie Mannor (CoRR, 2025)