TMLR Submissions

Auto-configuring Exploration-Exploitation Tradeoff in Population-Based Optimization: A Deep Reinforcement Learning Approach
TMLR Paper1302 Authors
- 19 Jun 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Explaining the origin of adversarial attacks using in-distribution adversarial examples.
TMLR Paper1301 Authors
- 17 Jun 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Multiscale Causal Structure Learning
Gabriele D'Acunto, Paolo Di Lorenzo, Sergio Barbarossa
- Published: 03 Oct 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Switching Latent Bandits
TMLR Paper1299 Authors
- 17 Jun 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Federated Learning under Partially Disjoint Data via Manifold Reshaping
Ziqing Fan, Jiangchao Yao, Ruipeng Zhang, Lingjuan Lyu, Yanfeng Wang, Ya Zhang
- Published: 03 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks
Wenhu Chen, Xueguang Ma, Xinyi Wang, William W. Cohen
- Published: 01 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Inverse Scaling: When Bigger Isn't Better
Ian R. McKenzie, Alexander Lyzhov, Michael Martin Pieler, Alicia Parrish, Aaron Mueller, Ameya Prabhu, Euan McLean, Xudong Shen, Joe Cavanagh, Andrew George Gritsevskiy, Derik Kauffman, Aaron T. Kirtland, Zhengping Zhou, Yuhui Zhang, Sicong Huang, Daniel Wurgaft, Max Weiss, Alexis Ross, Gabriel Recchia, Alisa Liu et al. (6 additional authors not shown)
- Published: 20 Oct 2023, Last Modified: 09 May 2025
- Accepted by TMLR
- Readers: Everyone
Local Advantage Networks for Multi-Agent Reinforcement Learning in Dec-POMDPs
Raphaël Avalos, Mathieu Reymond, Ann Nowe, Diederik M Roijers
- Published: 25 Oct 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
EM-Paste: EM-guided Cut-Paste for Image-level Weakly Supervised Instance Segmentation
TMLR Paper1294 Authors
- 16 Jun 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
General-Purpose In-Context Learning by Meta-Learning Transformers
TMLR Paper1293 Authors
- 16 Jun 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Identifying latent distances with Finslerian geometry
Alison Pouplin, David Eklund, Carl Henrik Ek, Søren Hauberg
- Published: 19 Oct 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Weight-balancing fixes and flows for deep learning
Lawrence K. Saul
- Published: 14 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
An Option-Dependent Analysis of Regret Minimization Algorithms in Finite-Horizon Semi-MDP
Gianluca Drappo, Alberto Maria Metelli, Marcello Restelli
- Published: 01 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
RIFLE: Imputation and Robust Inference from Low Order Marginals
Sina Baharlouei, Sze-Chuan Suen, Meisam Razaviyayn
- Published: 20 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
A probabilistic Taylor expansion with Gaussian processes
Toni Karvonen, Jon Cockayne, Filip Tronarp, Simo Särkkä
- Published: 06 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Representations and Computations in Transformers that Support Generalization on Structured Tasks
Yuxuan Li, James McClelland
- Published: 01 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Finterp: Cost-Time Analysis of Video Action Recognition using the Black Scholes Model
TMLR Paper1284 Authors
- 15 Jun 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Graph Neural Networks Formed via Layer-wise Ensembles of Heterogeneous Base Models
Jiuhai Chen, Jonas Mueller, Vassilis N. Ioannidis, Tom Goldstein, David Wipf
- Published: 31 Mar 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Directional Privacy for Deep Learning
TMLR Paper1282 Authors
- 14 Jun 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Population-based Evaluation in Repeated Rock-Paper-Scissors as a Benchmark for Multiagent Reinforcement Learning
Marc Lanctot, John Schultz, Neil Burch, Max Olan Smith, Daniel Hennes, Thomas Anthony, Julien Perolat
- Published: 30 Oct 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Binary Classification under Local Label Differential Privacy Using Randomized Response Mechanisms
Shirong Xu, Chendi Wang, Will Wei Sun, Guang Cheng
- Published: 01 Nov 2023, Last Modified: 02 Oct 2024
- Accepted by TMLR
- Readers: Everyone
Training Vision-Language Transformers from Captions
Liangke Gui, Yingshan Chang, Qiuyuan Huang, Subhojit Som, Alexander G Hauptmann, Jianfeng Gao, Yonatan Bisk
- Published: 23 Oct 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Benefits of Max Pooling in Neural Networks: Theoretical and Experimental Evidence
Kyle Matoba, Nikolaos Dimitriadis, François Fleuret
- Published: 25 Oct 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks
Alexander Tornede, Difan Deng, Theresa Eimer, Joseph Giovanelli, Aditya Mohan, Tim Ruhkopf, Sarah Segel, Daphne Theodorakopoulos, Tanja Tornede, Henning Wachsmuth, Marius Lindauer
- Published: 09 Mar 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
On the Role of Initialization on the Implicit Bias in Deep Learning
TMLR Paper1273 Authors
- 13 Jun 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone