TMLR Submissions

Unlock the Black Box by Interpreting Graph Convolutional Networks via Additive Decomposition
TMLR Paper1186 Authors
- 23 May 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Dual Cognitive Architecture: Incorporating Biases and Multi-Memory Systems for Lifelong Learning
Shruthi Gowda, Bahram Zonooz, Elahe Arani
- Published: 13 Oct 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Straggler-Resilient Personalized Federated Learning
Isidoros Tziotis, Zebang Shen, Ramtin Pedarsani, Hamed Hassani, Aryan Mokhtari
- Published: 15 Oct 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
On Convergence of Federated Averaging Langevin Dynamics
TMLR Paper1183 Authors
- 22 May 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Benchmarking Continuous Time Models for Predicting Multiple Sclerosis Progression
Alexander Luke Ian Norcliffe, Lev Proleev, Diana Mincu, F Lee Hartsell, Katherine A Heller, Subhrajit Roy
- Published: 10 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
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