Giulia Luise

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All published works

Action	Title	Year	Authors
+	On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology	2023	Francesco Di Giovanni Lorenzo Giusti Federico Barbero Giulia Luise Píetro Lió Michael M. Bronstein
+	Bag of Policies for Distributional Deep Exploration	2023	Asen Nachkov Luchen Li Giulia Luise Filippo Valdettaro A. Aldo Faisal
+	Heterogeneous manifolds for curvature-aware graph embedding	2022	Francesco Di Giovanni Giulia Luise Michael M. Bronstein
+	Schedule-Robust Online Continual Learning	2022	Ruohan Wang Marco Ciccone Giulia Luise Massimiliano Pontil Andrew Yapp Carlo Ciliberto
+	Meta Optimal Transport	2022	Brandon Amos S. Cohen Giulia Luise Ievgen Redko
+	Enabling risk-aware Reinforcement Learning for medical interventions through uncertainty decomposition.	2021	Paul Festor Giulia Luise Matthieu Komorowski A. Aldo Faisal
+	Enabling risk-aware Reinforcement Learning for medical interventions through uncertainty decomposition	2021	Paul Festor Giulia Luise Matthieu Komorowski A. Aldo Faisal
+	Aligning Time Series on Incomparable Spaces	2020	Samuel N. Cohen Giulia Luise Alexander Terenin Brandon Amos Marc Peter Deisenroth
+ PDF Chat	Contraction and regularizing properties of heat flows in metric measure spaces	2020	Giulia Luise Giuseppe Savaré
+	Wasserstein Proximal Gradient	2020	Adil Salim Anna Korba Giulia Luise
+	The Wasserstein Proximal Gradient Algorithm	2020	Adil Salim Anna Korba Giulia Luise
+	A Non-Asymptotic Analysis for Stein Variational Gradient Descent	2020	Anna Korba Adil Salim Michael Arbel Giulia Luise Arthur Gretton
+	Generalization Properties of Optimal Transport GANs with Latent Distribution Learning	2020	Giulia Luise Massimiliano Pontil Carlo Ciliberto
+	A Non-Asymptotic Analysis for Stein Variational Gradient Descent	2020	Anna Korba Adil Salim Michael Arbel Giulia Luise Arthur Gretton
+	Aligning Time Series on Incomparable Spaces	2020	S. Cohen Giulia Luise Alexander Terenin Brandon Amos Marc Peter Deisenroth
+	The Wasserstein Proximal Gradient Algorithm	2020	Adil Salim Anna Korba Giulia Luise
+	Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm	2019	Giulia Luise Saverio Salzo Massimiliano Pontil Carlo Ciliberto
+	Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm	2019	Giulia Luise Saverio Salzo Massimiliano Pontil Carlo Ciliberto
+	Contraction and regularizing properties of heat flows in metric measure spaces.	2019	Giulia Luise Giuseppe Savaré
+ PDF Chat	Contraction and regularizing properties of heat flows in metric measure spaces	2019	Giulia Luise Giuseppe Savaré
+	Leveraging Low-Rank Relations Between Surrogate Tasks in Structured Prediction	2019	Giulia Luise Dimitris Stamos Massimiliano Pontil Carlo Ciliberto
+	Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm	2019	Giulia Luise Saverio Salzo Massimiliano Pontil Carlo Ciliberto
+	Contraction and regularizing properties of heat flows in metric measure spaces	2019	Giulia Luise Giuseppe Savaré
+ PDF Chat	Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance	2018	Giulia Luise Alessandro Rudi Massimiliano Pontil Carlo Ciliberto
+	Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance	2018	Giulia Luise Alessandro Rudi Massimiliano Pontil Carlo Ciliberto

Common Coauthors

Coauthor	Papers Together
Massimiliano Pontil	8
Carlo Ciliberto	8
Adil Salim	5
Anna Korba	5
Giuseppe Savaré	4
Brandon Amos	3
A. Aldo Faisal	3
Saverio Salzo	3
Marc Peter Deisenroth	2
Arthur Gretton	2
S. Cohen	2
Michael M. Bronstein	2
Alessandro Rudi	2
Paul Festor	2
Alexander Terenin	2
Michael Arbel	2
Matthieu Komorowski	2
Francesco Di Giovanni	2
Luchen Li	1
Dimitris Stamos	1
Samuel N. Cohen	1
Ievgen Redko	1
Ruohan Wang	1
Marco Ciccone	1
Andrew Yapp	1
Federico Barbero	1
Asen Nachkov	1
Filippo Valdettaro	1
Lorenzo Giusti	1
Píetro Lió	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Gradient Flows: In Metric Spaces and in the Space of Probability Measures	2005	Luigi Ambrosio Nicola Gigli Giuseppe Savaré	4
+	THE GEOMETRY OF DISSIPATIVE EVOLUTION EQUATIONS: THE POROUS MEDIUM EQUATION	2001	Félix Otto	4
+	On the geometry of Stein variational gradient descent	2019	A. Duncan N. Nuesken Łukasz Szpruch	2
+	Sampling as optimization in the space of measures: The Langevin dynamics as a composite optimization problem	2018	Andre Wibisono	2
+	Stochastic Proximal Langevin Algorithm: Potential Splitting and Nonasymptotic Rates	2019	Adil Salim Dmitry Kovalev Peter Richtárik	2
+	Stein Variational Gradient Descent as Gradient Flow	2017	Qiang Liu	2
+ PDF Chat	Barycenters in the Wasserstein Space	2011	Martial Agueh Guillaume Carlier	2
+ PDF Chat	A constant step Forward-Backward algorithm involving random maximal monotone operators	2018	Pascal Bianchi Walid Hachem Adil Salim	2
+	Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm	2016	Qiang Liu Dilin Wang	2
+ PDF Chat	High-dimensional Bayesian inference via the unadjusted Langevin algorithm	2019	Alain Durmus Éric Moulines	2
+	Convex Analysis and Monotone Operator Theory in Hilbert Spaces	2017	Heinz H. Bauschke Patrick L. Combettes	2
+	Rapid Convergence of the Unadjusted Langevin Algorithm: Isoperimetry Suffices	2019	Santosh Vempala Andre Wibisono	2
+	The Variational Formulation of the Fokker--Planck Equation	1998	Richard W. Jordan David Kinderlehrer Félix Otto	2
+	Learning Generative Models with Sinkhorn Divergences	2017	Aude Genevay Gabriel Peyré Marco Cuturi	2
+ PDF Chat	Computational Optimal Transport	2019	Gabriel Peyré Marco Cuturi	2
+	Analysis of Langevin Monte Carlo via Convex Optimization	2019	Alain Durmus Szymon Majewski Błażej Miasojedow	2
+	On the Equivalence between Kernel Quadrature Rules and Random Feature Expansions	2015	Francis Bach	2
+ PDF Chat	On the equivalence of the entropic curvature-dimension condition and Bochner’s inequality on metric measure spaces	2014	Matthias Erbar Kazumasa Kuwada Karl-Theodor Sturm	1
+ PDF Chat	Convexity, Classification, and Risk Bounds	2006	Peter L. Bartlett Michael I. Jordan Jon McAuliffe	1
+	Pattern Recognition and Machine Learning	2007	Christopher Bishop	1
+ PDF Chat	Faster retrieval with a two-pass dynamic-time-warping lower bound	2008	Daniel Lemire	1
+	Duality on gradient estimates and Wasserstein controls	2010	Kazumasa Kuwada	1
+ PDF Chat	Metric measure spaces with Riemannian Ricci curvature bounded from below	2014	Luigi Ambrosio Nicola Gigli Giuseppe Savaré	1
+ PDF Chat	Learning Theory Estimates via Integral Operators and Their Approximations	2007	Steve Smale Ding‐Xuan Zhou	1
+	Neue Begründung der Theorie quadratischer Formen von unendlichvielen Veränderlichen.	1909	Ernst Hellinger	1
+	Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm	1977	A. P. Dempster N. M. Laird Donald B. Rubin	1
+	Perturbation Analysis of Optimization Problems	2000	J. Frédéric Bonnans Alexander Shapiro	1
+ PDF Chat	Proximal Markov chain Monte Carlo algorithms	2015	Marcelo Pereyra	1
+ PDF Chat	Quasiconformal maps in metric spaces with controlled geometry	1998	Juha Heinonen Pekka Koskela	1
+ PDF Chat	Rényi Divergence and Kullback-Leibler Divergence	2014	Tim van Erven Peter Harremoës	1
+ PDF Chat	Polar factorization of maps on Riemannian manifolds	2001	Robert J. McCann	1
+ PDF Chat	Ricci curvature for metric-measure spaces via optimal transport	2009	John Lott Cédric Villani	1
+	Eulerian Calculus for the Contraction in the Wasserstein Distance	2005	Félix Otto Michael Westdickenberg	1
+ PDF Chat	Regularizers for structured sparsity	2011	Charles A. Micchelli Jean M. Morales Massimiliano Pontil	1
+ PDF Chat	Optimal Rates for the Regularized Least-Squares Algorithm	2006	Andrea Caponnetto Ernesto De Vito	1
+ PDF Chat	Topics in Optimal Transportation	2003	Cédric Villani	1
+	Contractions in the 2-Wasserstein Length Space and Thermalization of Granular Media	2005	José A. Carrillo Robert J. McCann Cédric Villani	1
+ PDF Chat	Low-Rank Optimization on the Cone of Positive Semidefinite Matrices	2010	Michel Journée Francis Bach Pierre-Antoine Absil Rodolphe Sepulchre	1
+ PDF Chat	Existence and stability for Fokker–Planck equations with log-concave reference measure	2008	Luigi Ambrosio Giuseppe Savaré Lorenzo Zambotti	1
+	Generalization of an Inequality by Talagrand and Links with the Logarithmic Sobolev Inequality	2000	Félix Otto Cédric Villani	1
+	On Divergences and Informations in Statistics and Information Theory	2006	Friedrich Liese Igor Vajda	1
+	Polar factorization and monotone rearrangement of vector‐valued functions	1991	Yann Brenier	1
+ PDF Chat	Clinical data based optimal STI strategies for HIV: a reinforcement learning approach	2006	Damien Ernst Guy‐Bart Stan Jorge Gonçalves Louis Wehenkel	1
+	Spectral Regularization Algorithms for Learning Large Incomplete Matrices.	2010	Rahul Mazumder Trevor Hastie Robert Tibshirani	1
+ PDF Chat	Self-improvement of the Bakry-Émery condition and Wasserstein contraction of the heat flow in $RCD (K, \infty)$ metric measure spaces	2013	Giuseppe Savaré	1
+	A Generalized Kernel Approach to Structured Output Learning	2012	Hachem Kadri Mohammad Ghavamzadeh Pierre‐Marie Preux	1
+	Quasiconformal mappings and Sobolev spaces	1998	Pekka Koskela Paul MacManus	1
+	Bakry–Émery curvature-dimension condition and Riemannian Ricci curvature bounds	2014	Luigi Ambrosio Nicola Gigli Giuseppe Savaré	1
+	Consistency of trace norm minimization	2007	Francis Bach	1
+	A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization	2008	Jacob Abernethy Francis Bach Theodoros Evgeniou Jean‐Philippe Vert	1