TMLR Submissions

INTEGRATE: Distance based Graph Convolutional Networks for Statistical Relational Learning
TMLR Paper985 Authors
- 22 Mar 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Conformal Data Cleaning: Statistical Guarantees for Data Quality Automation in Tables
TMLR Paper984 Authors
- 22 Mar 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Model Averaging for Manifold Learning
TMLR Paper983 Authors
- 22 Mar 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Spectral learning of Bernoulli linear dynamical systems models for decision-making
Iris R Stone, Yotam Sagiv, Il Memming Park, Jonathan W. Pillow
- Published: 25 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Empirical Limitations of the NTK for Understanding Scaling Laws in Deep Learning
Nikhil Vyas, Yamini Bansal, Preetum Nakkiran
- Published: 10 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Interventions in Graph Neural Networks Lead to New Neural Causal Models
TMLR Paper980 Authors
- 21 Mar 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Faster Training of Neural ODEs Using Gauß–Legendre Quadrature
Alexander Luke Ian Norcliffe, Marc Peter Deisenroth
- Published: 05 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration
Mauricio Delbracio, Peyman Milanfar
- Published: 27 Jun 2023, Last Modified: 14 Apr 2025
- Accepted by TMLR
- Readers: Everyone
Mind the Gap: Mitigating the Distribution Gap in Graph Few-shot Learning
Chunhui Zhang, Hongfu Liu, Jundong Li, Yanfang Ye, Chuxu Zhang
- Published: 10 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Bayesian Importance of Features (BIF)
TMLR Paper976 Authors
- 20 Mar 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Finding Competence Regions in Domain Generalization
Jens Müller, Stefan T. Radev, Robert Schmier, Felix Draxler, Carsten Rother, Ullrich Koethe
- Published: 10 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Actively Learning Costly Reward Functions for Reinforcement Learning
TMLR Paper974 Authors
- 20 Mar 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Do We Really Achieve Fairness with Explicit Sensitive Attributes?
TMLR Paper973 Authors
- 20 Mar 2023 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
Understanding Self-Supervised Pretraining with Part-Aware Representation Learning
Jie Zhu, Jiyang Qi, Mingyu Ding, Xiaokang Chen, Ping Luo, Xinggang Wang, Wenyu Liu, Leye Wang, Jingdong Wang
- Published: 14 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Generalizability of Adversarial Robustness Under Distribution Shifts
Kumail Alhamoud, Hasan Abed Al Kader Hammoud, Motasem Alfarra, Bernard Ghanem
- Published: 22 May 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
mL-BFGS: A Momentum-based L-BFGS for Distributed Large-scale Neural Network Optimization
Yue Niu, Zalan Fabian, Sunwoo Lee, Mahdi Soltanolkotabi, Salman Avestimehr
- Published: 03 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Exploring Transformer Backbones for Heterogeneous Treatment Effect Estimation
YiFan Zhang, Hanlin Zhang, Zachary Chase Lipton, Li Erran Li, Eric Xing
- Published: 03 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes
TMLR Paper963 Authors
- 18 Mar 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Using Confounded Data in Latent Model-Based Reinforcement Learning
Maxime Gasse, Damien GRASSET, Guillaume Gaudron, Pierre-Yves Oudeyer
- Published: 14 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
An Empirical Evaluation of Federated Contextual Bandit Algorithms
TMLR Paper961 Authors
- 17 Mar 2023 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
Sampling from the latent space in Autoencoders: A simple way towards generative models?
TMLR Paper960 Authors
- 17 Mar 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Chasing Better Deep Image Priors between Over- and Under-parameterization
Qiming Wu, Xiaohan Chen, Yifan Jiang, Zhangyang Wang
- Published: 16 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Causally-guided Regularization of Graph Attention Improves Generalizability
Alexander P Wu, Thomas Markovich, Bonnie Berger, Nils Yannick Hammerla, Rohit Singh
- Published: 31 May 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Semantic Self-adaptation: Enhancing Generalization with a Single Sample
Sherwin Bahmani, Oliver Hahn, Eduard Zamfir, Nikita Araslanov, Daniel Cremers, Stefan Roth
- Published: 19 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Revisiting Self-Distillation
TMLR Paper956 Authors
- 16 Mar 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone