On Identifiable Polytope Characterization for Polytopic Matrix Factorization. - Bariscan Bozkurt; Alper T. Erdogan (ICASSP, 2022)

Biologically-Plausible Determinant Maximization Neural Networks for Blind Separation of Correlated Sources. - Bariscan Bozkurt; Cengiz Pehlevan; Alper T. Erdogan (NeurIPS, 2022)

Correlative Information Maximization Based Biologically Plausible Neural Networks for Correlated Source Separation. - Bariscan Bozkurt; Ates Isfendiyaroglu; Cengiz Pehlevan; Alper Tunga Erdogan (ICLR, 2023)

Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry. - Bariscan Bozkurt; Cengiz Pehlevan; Alper T. Erdogan (NeurIPS, 2023)

Density Ratio-based Proxy Causal Learning Without Density Ratios. - Bariscan Bozkurt; Ben Deaner; Dimitri Meunier; Liyuan Xu; Arthur Gretton (AISTATS, 2025)

Density Ratio-Free Doubly Robust Proxy Causal Learning. - Bariscan Bozkurt; Houssam Zenati; Dimitri Meunier; Liyuan Xu; Arthur Gretton (CoRR, 2025)

Doubly-Robust Estimation of Counterfactual Policy Mean Embeddings. - Houssam Zenati; Bariscan Bozkurt; Arthur Gretton (CoRR, 2025)