TMLR Submissions

Reward Poisoning in Reinforcement Learning: Attacks Against Unknown Learners in Unknown Environments
TMLR Paper843 Authors
- 07 Feb 2023 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
A Reproducible and Realistic Evaluation of Partial Domain Adaptation Methods
Tiago Salvador, Kilian FATRAS, Ioannis Mitliagkas, Adam M Oberman
- Published: 12 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Mitigating Algorithmic Bias with Limited Annotations
TMLR Paper841 Authors
- 07 Feb 2023 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
Federated Learning under Covariate Shifts with Generalization Guarantees
Ali Ramezani-Kebrya, Fanghui Liu, Thomas Pethick, Grigorios Chrysos, Volkan Cevher
- Published: 03 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
On Average-Case Error Bounds for Kernel-Based Bayesian Quadrature
Xu Cai, Thanh Lam, Jonathan Scarlett
- Published: 07 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Patch-Wise Random and Noisy CutMix for Privacy-Preserving Split Learning with Vision Transformer
TMLR Paper838 Authors
- 06 Feb 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
An Adaptive Half-Space Projection Method for Stochastic Optimization Problems with Group Sparse Regularization
Yutong Dai, Tianyi Chen, Guanyi Wang, Daniel Robinson
- Published: 01 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning
Wenkai Yang, Yankai Lin, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun
- Published: 18 May 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?
Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön
- Published: 25 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Robust Alzheimer's Progression Modeling using Cross-Domain Self-Supervised Deep Learning
Saba Dadsetan, Mohsen Hejrati, Shandong Wu, Somaye Hashemifar
- Published: 05 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Denise: Deep Robust Principal Component Analysis for Positive Semidefinite Matrices
Calypso Herrera, Florian Krach, Anastasis Kratsios, Pierre Ruyssen, Josef Teichmann
- Published: 26 May 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Evolving Pareto-Optimal Actor-Critic Algorithms for Generalizability and Stability
TMLR Paper832 Authors
- 02 Feb 2023 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
Do Vision-Language Pretrained Models Learn Composable Primitive Concepts?
Tian Yun, Usha Bhalla, Ellie Pavlick, Chen Sun
- Published: 02 May 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Conditional Permutation Invariant Flows
Berend Zwartsenberg, Adam Scibior, Matthew Niedoba, Vasileios Lioutas, Justice Sefas, Yunpeng Liu, Setareh Dabiri, Jonathan Wilder Lavington, Trevor Campbell, Frank Wood
- Published: 15 May 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
GLACIAL: Granger and Learning-based Causality Analysis for Longitudinal Studies
TMLR Paper828 Authors
- 01 Feb 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Stochastic Batch Acquisition: A Simple Baseline for Deep Active Learning
Andreas Kirsch, Sebastian Farquhar, Parmida Atighehchian, Andrew Jesson, Frédéric Branchaud-Charron, Yarin Gal
- Published: 19 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
A Revenue Function for Comparison-Based Hierarchical Clustering
Aishik Mandal, Michaël Perrot, Debarghya Ghoshdastidar
- Published: 02 Apr 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Identifying latent distances with Finslerian geometry
TMLR Paper825 Authors
- 01 Feb 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning
Remo Sasso, Matthia Sabatelli, Marco A. Wiering
- Published: 02 May 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Learning Interpretable Models Using an Oracle
TMLR Paper822 Authors
- 31 Jan 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Retiring $\Delta \text{DP}$: New Distribution-Level Metrics for Demographic Parity
Xiaotian Han, Zhimeng Jiang, Hongye Jin, Zirui Liu, Na Zou, Qifan Wang, Xia Hu
- Published: 30 May 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Stochastic gradient updates yield deep equilibrium kernels
Russell Tsuchida, Cheng Soon Ong
- Published: 04 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions
Xuefeng Du, Tian Bian, Yu Rong, Bo Han, Tongliang Liu, Tingyang Xu, Wenbing Huang, Yixuan Li, Junzhou Huang
- Published: 07 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
A Characteristic Function for Shapley-Value-Based Attribution of Anomaly Scores
Naoya Takeishi, Yoshinobu Kawahara
- Published: 21 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Explaining Visual Counterfactual Explainers
Diego Velazquez, Pau Rodriguez, Alexandre Lacoste, Issam H. Laradji, Xavier Roca, Jordi Gonzàlez
- Published: 04 Apr 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone