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Anna Korba
Anna Korba
ENSAE/CREST
Email verificata su ensae.fr - Home page
Titolo
Citata da
Citata da
Anno
Maximum mean discrepancy gradient flow
M Arbel, A Korba, A Salim, A Gretton
Advances in Neural Information Processing Systems 32, 2019
1292019
A non-asymptotic analysis for Stein variational gradient descent
A Korba, A Salim, M Arbel, G Luise, A Gretton
Advances in Neural Information Processing Systems 33, 2020
752020
Proximal causal learning with kernels: Two-stage estimation and moment restriction
A Mastouri, Y Zhu, L Gultchin, A Korba, R Silva, MJ Kusner, A Gretton, ...
International Conference on Machine Learning, 2021
602021
A learning theory of ranking aggregation
A Korba, S Clémençon, E Sibony
Artificial intelligence and statistics, 1001-1010, 2017
432017
The Wasserstein Proximal Gradient Algorithm
A Salim, A Korba, G Luise
Advances in Neural Information Processing Systems 33, 2020
412020
A structured prediction approach for label ranking
A Korba, A Garcia, FA Buc
Advances in Neural Information Processing Systems 31, 2018
382018
Kernel Stein Discrepancy Descent
A Korba, PC Aubin-Frankowski, S Majewski, P Ablin
International Conference on Machine Learning, 2021
352021
Controlling the distance to a kemeny consensus without computing it
Y Jiao, A Korba, E Sibony
International Conference on Machine Learning, 2971-2980, 2016
182016
Ranking median regression: Learning to order through local consensus
S Clémençon, A Korba, E Sibony
Algorithmic learning theory, 212-245, 2018
162018
Mirror Descent with Relative Smoothness in Measure Spaces, with application to Sinkhorn and EM
PC Aubin-Frankowski, A Korba, F Léger
Advances in Neural Information Processing Systems 35, 2022
122022
Adaptive Importance Sampling meets Mirror Descent: a Bias-variance tradeoff
A Korba, F Portier
Artificial Intelligence and Statistics, 2022
102022
Accurate quantization of measures via interacting particle-based optimization
L Xu, A Korba, D Slepcev
International Conference on Machine Learning, 24576-24595, 2022
62022
Learning from ranking data: theory and methods
A Korba
Université Paris Saclay (COmUE), 2018
52018
Exponential Smoothing for Off-Policy Learning
I Aouali, VE Brunel, D Rohde, A Korba
International Conference on Machine Learning, 2023
42023
Sampling with Mollified Interaction Energy Descent
L Li, Q Liu, A Korba, M Yurochkin, J Solomon
International Conference on Learning Representations, 2023
42023
Variational Inference of overparameterized Bayesian Neural Networks: a theoretical and empirical study
T Huix, S Majewski, A Durmus, E Moulines, A Korba
arXiv preprint arXiv:2207.03859, 2022
22022
Dimensionality reduction and (bucket) ranking: a mass transportation approach
M Achab, A Korba, S Clémençon
Algorithmic Learning Theory, 64-93, 2019
22019
A connection between Tempering and Entropic Mirror Descent
N Chopin, FR Crucinio, A Korba
arXiv preprint arXiv:2310.11914, 2023
12023
On aggregation in ranking median regression.
S Clémençon, A Korba
ESANN, 2018
12018
Bayesian Off-Policy Evaluation and Learning for Large Action Spaces
I Aouali, VE Brunel, D Rohde, A Korba
arXiv preprint arXiv:2402.14664, 2024
2024
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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