Agustinus Kristiadi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
4
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | Towards Cost-Effective Reward Guided Text Generation. | Ahmad Rashid, Ruotian Wu, Rongqi Fan, Hongliang Li, Agustinus Kristiadi, Pascal Poupart |
| 2024 | AISTATS | Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural Networks. | Ahmad Rashid, Serena Hacker, Guojun Zhang, Agustinus Kristiadi, Pascal Poupart |
| 2024 | ICML | A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules? | Agustinus Kristiadi, Felix Strieth-Kalthoff, Marta Skreta, Pascal Poupart, Aln Aspuru-Guzik, Geoff Pleiss |
| 2024 | ICML | Structured Inverse-Free Natural Gradient Descent: Memory-Efficient & Numerically-Stable KFAC. | Wu Lin, Felix Dangel, Runa Eschenhagen, Kirill Neklyudov, Agustinus Kristiadi, Richard E. Turner, Alireza Makhzani |
| 2024 | ICML | Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI. | Theodore Papamarkou, Maria Skoularidou, Konstantina Palla, Laurence Aitchison, Julyan Arbel, David B. Dunson, Maurizio Filippone, Vincent Fortuin, Philipp Hennig, Jos Miguel Hernndez-Lobato, Aliaksandr Hubin, Alexander Immer, Theofanis Karaletsos, Mohammad Emtiyaz Khan, Agustinus Kristiadi, Yingzhen Li, Stephan Mandt, Christopher Nemeth, Michael A. Osborne, Tim G. J. Rudner, David Rgamer, Yee Whye Teh, Max Welling, Andrew Gordon Wilson, Ruqi Zhang |
| 2022 | AISTATS | Being a Bit Frequentist Improves Bayesian Neural Networks. | Agustinus Kristiadi, Matthias Hein, Philipp Hennig |
| 2022 | AISTATS | Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for Approximate Bayesian Inference. | Luca Rendsburg, Agustinus Kristiadi, Philipp Hennig, Ulrike von Luxburg |
| 2022 | UAI | Fast predictive uncertainty for classification with Bayesian deep networks. | Marius Hobbhahn, Agustinus Kristiadi, Philipp Hennig |
| 2021 | UAI | Learnable uncertainty under Laplace approximations. | Agustinus Kristiadi, Matthias Hein, Philipp Hennig |
| 2020 | ICML | Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks. | Agustinus Kristiadi, Matthias Hein, Philipp Hennig |
| 2018 | CoNLL | Improving Response Selection in Multi-Turn Dialogue Systems by Incorporating Domain Knowledge. | Debanjan Chaudhuri, Agustinus Kristiadi, Jens Lehmann, Asja Fischer |