TMLR Submissions

Optimistic Optimization of Gaussian Process Samples
Julia Grosse, Cheng Zhang, Philipp Hennig
- Published: 20 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Adaptive Decision-Making for Optimization of Safety-Critical Systems: The ARTEO Algorithm
TMLR Paper1180 Authors
- 22 May 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Tight conditions for when the NTK approximation is valid
Enric Boix-Adserà, Etai Littwin
- Published: 29 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Discretization Invariant Networks for Learning Maps between Neural Fields
Clinton Wang, Polina Golland
- Published: 19 Oct 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Modular Deep Learning
Jonas Pfeiffer, Sebastian Ruder, Ivan Vulić, Edoardo Ponti
- Published: 22 Dec 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Logistic-Normal Likelihoods for Heteroscedastic Label Noise
Erik Englesson, Amir Mehrpanah, Hossein Azizpour
- Published: 29 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Scalable Stochastic Gradient Riemannian Langevin Dynamics in Non-Diagonal Metrics
Hanlin Yu, Marcelo Hartmann, Bernardo Williams, Arto Klami
- Published: 04 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
DoCoM: Compressed Decentralized Optimization with Near-Optimal Sample Complexity
Chung-Yiu Yau, Hoi To Wai
- Published: 01 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
GraphPNAS: Learning Probabilistic Graph Generators for Neural Architecture Search
Muchen Li, Jeffrey Yunfan Liu, Leonid Sigal, Renjie Liao
- Published: 03 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Exploring validation metrics for offline model-based optimisation with diffusion models
Christopher Beckham, Alexandre Piché, David Vazquez, Christopher Pal
- Published: 14 Jun 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Improved Group Robustness via Classifier Retraining on Independent Splits
Thien Hang Nguyen, Hongyang R. Zhang, Huy Nguyen
- Published: 28 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Two-Level Actor-Critic Using Multiple Teachers
Su Zhang, Srijita Das, Sriram Ganapathi Subramanian, Matthew E. Taylor
- Published: 01 Dec 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Gated Domain Units for Multi-source Domain Generalization
Simon Föll, Alina Dubatovka, Eugen Ernst, Siu Lun Chau, Martin Maritsch, Patrik Okanovic, Gudrun Thaeter, Joachim M. Buhmann, Felix Wortmann, Krikamol Muandet
- Published: 28 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
A Systematic Approach to Universal Random Features in Graph Neural Networks
Billy Joe Franks, Markus Anders, Marius Kloft, Pascal Schweitzer
- Published: 18 Aug 2023, Last Modified: 29 Nov 2024
- Accepted by TMLR
- Readers: Everyone
Probabilistic Rank and Reward: A Scalable Model for Slate Recommendation
TMLR Paper1166 Authors
- 16 May 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Non-asymptotic approximations of Gaussian neural networks via second-order Poincar\'e inequalities
TMLR Paper1165 Authors
- 15 May 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Quantifying Uncertainty of Uplift
TMLR Paper1163 Authors
- 15 May 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Combating Client Dropout in Federated Learning via Friend Model Substitution
TMLR Paper1162 Authors
- 14 May 2023 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
Dynamic Regret Analysis of Safe Distributed Online Optimization for Convex and Non-convex Problems
Ting-Jui Chang, Sapana Chaudhary, Dileep Kalathil, Shahin Shahrampour
- Published: 03 Oct 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Foiling Explanations in Deep Neural Networks
Snir Vitrack Tamam, Raz Lapid, Moshe Sipper
- Published: 11 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
AP: Selective Activation for De-sparsifying Pruned Networks
Shiyu Liu, Rohan Ghosh, Mehul Motani
- Published: 12 Sept 2023, Last Modified: 09 May 2025
- Accepted by TMLR
- Readers: Everyone
Improved baselines for vision-language pre-training
Enrico Fini, Pietro Astolfi, Adriana Romero-Soriano, Jakob Verbeek, Michal Drozdzal
- Published: 06 Oct 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Policy Gradient Algorithms Implicitly Optimize by Continuation
Adrien Bolland, Gilles Louppe, Damien Ernst
- Published: 21 Oct 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
GPS++: Reviving the Art of Message Passing for Molecular Property Prediction
Dominic Masters, Josef Dean, Kerstin Klaeser, Zhiyi Li, Samuel Maddrell-Mander, Adam Sanders, Hatem Helal, Deniz Beker, Andrew W Fitzgibbon, Shenyang Huang, Ladislav Rampášek, Dominique Beaini
- Published: 30 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
V1T: large-scale mouse V1 response prediction using a Vision Transformer
Bryan M. Li, Isabel Maria Cornacchia, Nathalie Rochefort, Arno Onken
- Published: 17 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone