Preprint 21/2021

• Pradeep Kumar Banerjee and Guido Montúfar:
• PAC-Bayes and Information Complexity
• more information >>

Preprint 20/2021

• Felix Otto, Maxime Prod'homme, and Tobias Ried:
• Variational Approach to Regularity of Optimal Transport Maps: General Cost Functions
• more information >>

Preprint 19/2021

• Jiarui Chen and Qun Chen:
• A Perelman-type no shrinking breather theorem for noncompact harmonic Ricci flow
• more information >>

Preprint 18/2021

• Hanna Tseran and Guido Montúfar:
• On the Expected Complexity of Maxout Networks
• more information >>

Preprint 17/2021

• André Uschmajew and Bart Vandereycken:
• A note on the optimal convergence rate of descent methods with fixed step sizes for smooth strongly convex functions
• more information >>

Preprint 16/2021

• Alessandro Neri:
• Twisted Linearized Reed-Solomon Codes: A Skew Polynomial Framework
• more information >>

Preprint 15/2021

• Alessandro Neri, Paolo Santonastaso, and Ferdinando Zullo:
• Extending two families of maximum rank distance codes
• more information >>

Preprint 14/2021

• Taylor Brysiewicz, Holger Eble, and Lukas Kühne:
• Enumerating chambers of hyperplane arrangements with symmetry
• more information >>

Preprint 13/2021

• Florio Maria Ciaglia and Fabio Di Nocera:
• Group actions and Monotone Metric Tensors: The qubit case
• more information >>

Preprint 12/2021

• Federico Castillo, Jean-Philippe Labbe, Julia Liebert, Arnau Padrol, Eva Philippe, and Christian Schilling:
• An effective solution to convex 1-body N-representability.
• more information >>

Preprint 11/2021

• Guido Montúfar, Yue Ren, and Leon Zhang:
• Sharp bounds for the number of regions of maxout networks and vertices of Minkowski sums
• more information >>

Preprint 10/2021

• Yassine El Maazouz, Marvin Anas Hahn, Alessandro Neri, and Mima Stanojkovski:
• Valued rank-metric codes
• more information >>

Preprint 9/2021

• Guido Montúfar, Johannes Rauh, and Nihat Ay:
• Task-agnostic constraining in average reward POMDPs
• more information >>

Preprint 8/2021

• Guido Montúfar, Johannes Rauh, and Nihat Ay:
• Uncertainty and Stochasticity of Optimal Policies
• more information >>

Preprint 7/2021

• Türkü Özlüm Çelik, Asgar Jamneshan, Guido Montúfar, Bernd Sturmfels, and Lorenzo Venturello:
• Optimal Transport to a Variety
• more information >>

Preprint 6/2021

• Wuchen Li, Alex Tong Lin, and Guido Montúfar:
• Affine Natural Proximal Learning
• more information >>

Preprint 5/2021

• Johannes Rauh, Nihat Ay, and Guido Montúfar:
• A continuity result for optimal memoryless planning in POMDPs
• more information >>

Preprint 4/2021

• Henrik Eisenmann, Felix Krahmer, Max Pfeffer, and André Uschmajew:
• Riemannian thresholding methods for row-sparse and low-rank matrix recovery
• more information >>

Preprint 3/2021

• Noémie Combe, Philippe Combe, and Hanna Nencka:
• Frobenius Statistical manifolds, Geometric invariants & Hidden symmetries
• more information >>

Preprint 2/2021

• Carlotta Langer and Nihat Ay:
• Apportionment of work among environment, body and brain of an agent
• revised version: February 2021
• more information >>

Preprint 1/2021

• Alessandra Bernardi, Claudia De Lazzari, and Fulvio Gesmundo:
• Dimension of Tensor Network Varieties
• more information >>