Andrew Jesson
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
4
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Can Generative AI Solve Your In-Context Learning Problem? A Martingale Perspective. | Andrew Jesson, Nicolas Beltran-Velez, David M. Blei |
| 2024 | ICML | ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive Advantages. | Andrew Jesson, Chris Lu, Gunshi Gupta, Nicolas Beltran-Velez, Angelos Filos, Jakob Nicolaus Foerster, Yarin Gal |
| 2023 | ICML | DiscoBAX: Discovery of optimal intervention sets in genomic experiment design. | Clare Lyle, Arash Mehrjou, Pascal Notin, Andrew Jesson, Stefan Bauer, Yarin Gal, Patrick Schwab |
| 2023 | ICML | B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding. | Miruna Oprescu, Jacob Dorn, Marah Ghoummaid, Andrew Jesson, Nathan Kallus, Uri Shalit |
| 2023 | ICML | Differentiable Multi-Target Causal Bayesian Experimental Design. | Panagiotis Tigas, Yashas Annadani, Desi R. Ivanova, Andrew Jesson, Yarin Gal, Adam Foster, Stefan Bauer |
| 2023 | UAI | Partial identification of dose responses with hidden confounders. | Myrl G. Marmarelis, Elizabeth Haddad, Andrew Jesson, Neda Jahanshad, Aram Galstyan, Greg Ver Steeg |
| 2022 | ICLR | GeneDisco: A Benchmark for Experimental Design in Drug Discovery. | Arash Mehrjou, Ashkan Soleymani, Andrew Jesson, Pascal Notin, Yarin Gal, Stefan Bauer, Patrick Schwab |
| 2021 | ICML | Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding. | Andrew Jesson, Sren Mindermann, Yarin Gal, Uri Shalit |
| 2019 | MICCAI | Task Adaptive Metric Space for Medium-Shot Medical Image Classification. | Xiang Jiang, Liqiang Ding, Mohammad Havaei, Andrew Jesson, Stan Matwin |
| 2017 | MICCAI | Brain Tumor Segmentation Using a 3D FCN with Multi-scale Loss. | Andrew Jesson, Tal Arbel |
| 2017 | MICCAI | CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance. | Andrew Jesson, Nicolas Guizard, Sina Hamidi Ghalehjegh, Damien Goblot, Florian Soudan, Nicolas Chapados |