Search Results for author: Ira Ktena

Found 9 papers, 3 papers with code

Constrained Causal Bayesian Optimization

1 code implementation31 May 2023 Virginia Aglietti, Alan Malek, Ira Ktena, Silvia Chiappa

We propose constrained causal Bayesian optimization (cCBO), an approach for finding interventions in a known causal graph that optimize a target variable under some constraints.

Bayesian Optimization Gaussian Processes

Differentially Private Diffusion Models Generate Useful Synthetic Images

no code implementations27 Feb 2023 Sahra Ghalebikesabi, Leonard Berrada, Sven Gowal, Ira Ktena, Robert Stanforth, Jamie Hayes, Soham De, Samuel L. Smith, Olivia Wiles, Borja Balle

By privately fine-tuning ImageNet pre-trained diffusion models with more than 80M parameters, we obtain SOTA results on CIFAR-10 and Camelyon17 in terms of both FID and the accuracy of downstream classifiers trained on synthetic data.

Image Generation Privacy Preserving

A Fine-Grained Analysis on Distribution Shift

no code implementations ICLR 2022 Olivia Wiles, Sven Gowal, Florian Stimberg, Sylvestre Alvise-Rebuffi, Ira Ktena, Krishnamurthy Dvijotham, Taylan Cemgil

Despite this necessity, there has been little work in defining the underlying mechanisms that cause these shifts and evaluating the robustness of algorithms across multiple, different distribution shifts.

Learning a Large Neighborhood Search Algorithm for Mixed Integer Programs

1 code implementation21 Jul 2021 Nicolas Sonnerat, Pengming Wang, Ira Ktena, Sergey Bartunov, Vinod Nair

Large Neighborhood Search (LNS) is a combinatorial optimization heuristic that starts with an assignment of values for the variables to be optimized, and iteratively improves it by searching a large neighborhood around the current assignment.

Combinatorial Optimization Imitation Learning

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