Papers with MLG authors to appear at ICML and AABI 2024

Nine papers with MLG authors will appear at ICML 2024 in Vienna, Austria, and many papers will also be presented at AABI and ICML workshops!

Advances in Approximate Bayesian Inference 2024

Implicitly Bayesian Prediction Rules in Deep Learning [proceedings] Bruno Mlodozeniec, David Krueger, Richard Turner Sunday, July 20, 11:15 — Contributed Talk 

In-Context In-Context Learning with Transformer Neural Processes [proceedings] Matthew Ashman, Cristiana Diaconu, Adrian Weller, Richard E. Turner Sunday, July 20, 11:15 — Contributed Talk 

Warm Start Marginal Likelihood Optimisation for Iterative Gaussian Processes [workshop] Jihao Andreas Lin, Shreyas Padhy, Bruno Mlodozeniec, José Miguel Hernández-Lobato Sunday, July 20 — Poster 

ICML 2024

Translation Equivariant Transformer Neural Processes [poster] Matthew Ashman, Cristiana Diaconu, Junhyuck Kim, Lakee Sivaraya, Stratis Markou, James Requeima, Wessel P. Bruinsma, Richard E. Turner  Tuesday, July 23, 11:30 — Poster Session 1, #1704

Implicit Meta-Learning May Lead Language Models to Trust More Reliable Sources [oral] Dmitrii Krasheninnikov, Egor Krasheninnikov, Bruno Mlodozeniec, Tegan Maharaj, David Krueger Tuesday, July 23, 11:30 — Poster Session 1, #2711

Studying K-FAC Heuristics by Viewing Adam through a Second-Order Lens [poster] Ross M. Clarke, José Miguel Hernández-Lobato Tuesday, July 23, 13:30 — Poster Session 2, #1213

Diffusive Gibbs Sampling [poster] Wenlin Chen, Mingtian Zhang, Brooks Paige, José Miguel Hernández-Lobato, David Barber Thursday, July 25, 13:30-15:00 — Poster Session 6, Hall C 4-9 #1300

Can We Remove the Square-Root in Adaptive Gradient Methods? A Second-Order Perspective [poster] Wu Lin, Felix Dangel, Runa Eschenhagen, Juhan Bae, Richard E. Turner, Alireza Makhzani Thursday, July 25, 13:30 — Poster Session 6, #903

Structured Inverse-Free Natural Gradient: Memory-Efficient & Numerically-Stable KFAC [poster] Wu Lin, Felix Dangel, Runa Eschenhagen, Kirill Neklyudov, Agustinus Kristiadi, Richard E. Turner, Alireza Makhzani Thursday, July 25, 11:30 — Poster Session 5, #906

Practical Hamiltonian Monte Carlo on Riemannian Manifolds via Relativity Theory [poster] Kai Xu, Hong Ge Thursday, July 25, 13:30 — Poster Session 6, #1302

Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI [poster] Papamarkou T., Skoularidou M., Palla K., Aitchison L., Arbel J., Dunson D., Filippone M., Fortuin V., Hennig P., Hernández-Lobato J. M., Hubin A., Immer A., Karaletsos T., Khan M. E., Kristiadi A., Li Y., Mandt S., Nemeth C., Osborne M. A., Rudner T. G. J., Rügamer D., Teh Y. W., Welling M., Wilson A. G. and Zhang R. Tu, Jul 23, 10:30 – Poster Session 1 Hall C 4-9 #416

Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation [poster] Chen X., Cai R., TingHuang Z., Zhu Y., Horwood J., Hao Z., Li Z. and Hernández-Lobato J. M.
We, Jul 24, 12:30 – Poster Session 4 Hall C 4-9 #306

WORKSHOPS

LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language [Contributed Talk] James Requeima, John Bronskill, Dami Choi, Richard E Turner, David Duvenaud 1st ICML Workshop on In-Context Learning (ICL @ ICML 2024)

ReLU Characteristic Activation Analysis [poster] Wenlin Chen, Hong Ge High-dimensional Learning Dynamics Workshop: The Emergence of Structure and Reasoning

Transformer Neural Autoregressive Flows [poster] Massimiliano Patacchiola, Aliaksandra Shysheya, Katja Hofmann, Richard E. Turner Structured Probabilistic Inference & Generative Modeling (SPIGM)

Diagnosing and fixing common problems in Bayesian optimization for molecule design [poster] Austin Tripp,  José Miguel Hernández-Lobato AI for science