A Randomised Subspace Gauss-Newton Method for Nonlinear Least-Squares.
 Cartis, C Fowkes, J Shao, Z CoRR volume abs/2211.05727 (2022)
Second-order methods for quartically-regularised cubic polynomials, with applications to high-order tensor methods
 Cartis, C Zhu, W Mathematical Programming volume abs/2308.15336 1-47 (31 Jul 2025) doi:10.1007/s10107-025-02235-y
Tangent space and dimension estimation with the Wasserstein distance
 Lim, U Oberhauser, H Nanda, V SIAM Journal on Applied Algebra and Geometry volume 8 issue 3 650-685 (23 Aug 2024) doi:10.1137/22M1522711
Kernelized Cumulants: Beyond Kernel Mean Embeddings
 Bonnier, P Oberhauser, H Szabo, Z 11049-11074 (01 Jan 2023) doi:10.52202/075280-0488
Tangent space and dimension estimation with the Wasserstein distance
 Lim, U Oberhauser, H Nanda, V SIAM Journal on Applied Algebra and Geometry volume 8 issue 3 650-685 (23 Aug 2024) doi:10.1137/22M1522711
Convergence and Implicit Regularization Properties of Gradient Descent for Deep Residual Networks.
 Cont, R Rossier, A Xu, R CoRR volume abs/2204.07261 (2022)
Fast unfolding of communities in large networks: 15 years later
 Blondel, V Guillaume, J Lambiotte, R (10 Nov 2023) doi:10.48550/arxiv.2311.06047
How does over-squashing affect the power of GNNs?
 Giovanni, F Rusch, T Bronstein, M Deac, A Lackenby, M Mishra, S Velickovic, P Transactions of Machine Learning Research volume abs/2306.03589
OFTER: An Online Pipeline for Time Series Forecasting
 Michael, N Cucuringu, M Howison, S (2023) doi:10.2139/ssrn.4413028
Subscribe to