Anna Korba
29 papers · 2016–2025 · 7 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 14 separate collaboration groups - the largest holds only 21% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Anna Korba?
5 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Pierre-Cyril Aubin-Frankowski, Clément Bonet, Christophe Vauthier
6 papers
· 2021–2025
· ICML, NeurIPS, AISTATS
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DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient Flows
AISTATS 2025
Flowing Datasets with Wasserstein over Wasserstein Gradient Flows
ICML 2025
Towards Understanding Gradient Dynamics of the Sliced-Wasserstein Distance via Critical Point Analysis
ICML 2025
Mirror and Preconditioned Gradient Descent in Wasserstein Space
NeurIPS 2024
Mirror Descent with Relative Smoothness in Measure Spaces, with application to Sinkhorn and EM
NeurIPS 2022
Kernel Stein Discrepancy Descent
ICML 2021
9 papers whose co-authors appear nowhere else under this name
Implicit Diffusion: Efficient optimization through stochastic sampling
AISTATS 2025
A connection between Tempering and Entropic Mirror Descent
ICML 2024
Constrained Sampling with Primal-Dual Langevin Monte Carlo
NeurIPS 2024
Statistical and Geometrical properties of the Kernel Kullback-Leibler divergence
NeurIPS 2024
Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians
ICML 2024
Sampling with Mollified Interaction Energy Descent
ICLR 2023
Accurate Quantization of Measures via Interacting Particle-based Optimization
ICML 2022
Adaptive Importance Sampling meets Mirror Descent : a Bias-variance Tradeoff
AISTATS 2022
A Structured Prediction Approach for Label Ranking
NeurIPS 2018