Sarkar, Rik

7 publications

AAAI 2025 Approximating Metric Magnitude of Point Sets Rayna Andreeva, James Ward, Primoz Skraba, Jie Gao, Rik Sarkar

NeurIPS 2024 Metric Space Magnitude for Evaluating the Diversity of Latent Representations Katharina Limbeck, Rayna Andreeva, Rik Sarkar, Bastian Rieck

NeurIPS 2024 Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms Rayna Andreeva, Benjamin Dupuis, Rik Sarkar, Tolga Birdal, Umut Şimşekli

ICMLW 2023 Metric Space Magnitude and Generalisation in Neural Networks Rayna Andreeva, Katharina Limbeck, Bastian Rieck, Rik Sarkar

IJCAI 2022 The Shapley Value in Machine Learning Benedek Rozemberczki, Lauren Watson, Péter Bayer, Hao-Tsung Yang, Oliver Kiss, Sebastian Nilsson, Rik Sarkar

JMLR 2016 Distributed Submodular Maximization Baharan Mirzasoleiman, Amin Karbasi, Rik Sarkar, Andreas Krause

NeurIPS 2013 Distributed Submodular Maximization: Identifying Representative Elements in Massive Data Baharan Mirzasoleiman, Amin Karbasi, Rik Sarkar, Andreas Krause