TMLR Submissions

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
Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows
Guillaume Morel, Lucas Drumetz, Simon Benaïchouche, Nicolas Courty, François Rousseau
- Published: 30 Mar 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale with MinDiff Loss
Akshaj Kumar Veldanda, Ivan Brugere, Jiahao Chen, Sanghamitra Dutta, Alan Mishler, Siddharth Garg
- Published: 05 May 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Feature-Attending Recurrent Modules for Generalization in Reinforcement Learning
Wilka Torrico Carvalho, Andrew Kyle Lampinen, Kyriacos Nikiforou, Felix Hill, Murray Shanahan
- Published: 06 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Classification with a Network of Partially Informative Agents: Enabling Wise Crowds from Individually Myopic Classifiers
TMLR Paper813 Authors
- 27 Jan 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Limitations of and Alternatives to Benchmarking in Reinforcement Learning Research
TMLR Paper812 Authors
- 27 Jan 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
On Averaging ROC Curves
Jack Hogan, Niall M. Adams
- Published: 14 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
A Study of Biologically Plausible Neural Network: The Role and Interactions of Brain-Inspired Mechanisms in Continual Learning
Fahad Sarfraz, Elahe Arani, Bahram Zonooz
- Published: 09 Apr 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Learning Interpolations between Boltzmann Densities
Bálint Máté, François Fleuret
- Published: 30 May 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning
Barna Pásztor, Andreas Krause, Ilija Bogunovic
- Published: 05 May 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Neural Monge Map estimation and its applications
Jiaojiao Fan, Shu Liu, Shaojun Ma, Hao-Min Zhou, Yongxin Chen
- Published: 30 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Understanding Finetuning for Factual Knowledge Extraction from Language Models
TMLR Paper805 Authors
- 26 Jan 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus
Anna Hedström, Philine Lou Bommer, Kristoffer Knutsen Wickstrøm, Wojciech Samek, Sebastian Lapuschkin, Marina MC Höhne
- Published: 03 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Lifelong Reinforcement Learning with Modulating Masks
Eseoghene Ben-Iwhiwhu, Saptarshi Nath, Praveen Kumar Pilly, Soheil Kolouri, Andrea Soltoggio
- Published: 20 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Multi-point Dimensionality Reduction to Improve Projection Layout Reliability
Farshad Barahimi, Stephen Brooks
- 25 Jan 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Bayesian Optimization with Informative Covariance
Afonso Eduardo, Michael U. Gutmann
- Published: 31 Mar 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
A portfolio approach to massively parallel Bayesian optimization
TMLR Paper800 Authors
- 24 Jan 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Pre-trained Perceptual Features Improve Differentially Private Image Generation
Frederik Harder, Milad Jalali, Danica J. Sutherland, Mijung Park
- Published: 21 Apr 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone