TMLR Submissions

Learning Multiscale Non-stationary Causal Structures
Gabriele D'Acunto, Gianmarco De Francisci Morales, Paolo Bajardi, Francesco Bonchi
- Published: 14 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases
TMLR Paper1016 Authors
- 31 Mar 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Generalized Information Bottleneck for Gaussian Variables
TMLR Paper1015 Authors
- 31 Mar 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Unveiling Transformers with LEGO: a synthetic reasoning task
TMLR Paper1014 Authors
- 30 Mar 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Mitigating Confirmation Bias in Semi-supervised Learning via Efficient Bayesian Model Averaging
Charlotte Loh, Rumen Dangovski, Shivchander Sudalairaj, Seungwook Han, Ligong Han, Leonid Karlinsky, Marin Soljacic, Akash Srivastava
- Published: 05 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
The Score-Difference Flow for Implicit Generative Modeling
Romann M. Weber
- Published: 18 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
MaMMUT: A Simple Architecture for Joint Learning for MultiModal Tasks
Weicheng Kuo, AJ Piergiovanni, Dahun Kim, xiyang luo, Benjamin Caine, Wei Li, Abhijit Ogale, Luowei Zhou, Andrew M. Dai, Zhifeng Chen, Claire Cui, Anelia Angelova
- Published: 16 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
ReMIX: Regret Minimization for Monotonic Value Function Factorization in Multi-Agent Reinforcement Learning
TMLR Paper1010 Authors
- 29 Mar 2023 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
Single-Pass Contrastive Learning Can Work for Both Homophilic and Heterophilic Graph
Haonan Wang, Jieyu Zhang, Qi Zhu, Wei Huang, Kenji Kawaguchi, Xiaokui Xiao
- Published: 05 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
A DNN Optimizer that Improves over AdaBelief by Suppression of the Adaptive Stepsize Range
Guoqiang Zhang, Kenta Niwa, W. Bastiaan Kleijn
- Published: 05 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Online Min-max Problems with Non-convexity and Non-stationarity
Yu Huang, Yuan Cheng, Yingbin Liang, Longbo Huang
- Published: 28 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Tabula: Efficiently Computing Nonlinear Activation Functions for Secure Neural Network Inference
TMLR Paper1006 Authors
- 28 Mar 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
The Open MatSci ML Toolkit: A Flexible Framework for Machine Learning in Materials Science
Santiago Miret, Kin Long Kelvin Lee, Carmelo Gonzales, Marcel Nassar, Matthew Spellings
- Published: 20 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Towards a Defense Against Federated Backdoor Attacks Under Continuous Training
Shuaiqi Wang, Jonathan Hayase, Giulia Fanti, Sewoong Oh
- Published: 03 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Semantic Representations of Mathematical Expressions in a Continuous Vector Space
Neeraj Gangwar, Nickvash Kani
- Published: 02 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Fair and Useful Cohort Selection
Konstantina Bairaktari, Paul Tsela Langton, Huy Nguyen, Niklas Smedemark-Margulies, Jonathan Ullman
- Published: 17 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Learning from time-dependent streaming data with online stochastic algorithms
Antoine Godichon-Baggioni, Nicklas Werge, Olivier Wintenberger
- Published: 01 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Adaptive Hyperparameter Selection for Differentially Private Gradient Descent
Dominik Fay, Sindri Magnússon, Jens Sjölund, Mikael Johansson
- Published: 03 Oct 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Teaching Smaller Language Models To Generalise To Unseen Compositional Questions
Tim Hartill, Neset TAN, Michael Witbrock, Patricia J. Riddle
- Published: 31 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Approximating Naive Bayes on Unlabelled Categorical Data
Cormac Herley
- Published: 15 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Does ‘Deep Learning on a Data Diet’ reproduce? Overall yes, but GraNd at Initialization does not
Andreas Kirsch
- Published: 28 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Linearized Relative Positional Encoding
Zhen Qin, Weixuan Sun, Kaiyue Lu, Hui Deng, Dongxu Li, Xiaodong Han, Yuchao Dai, Lingpeng Kong, Yiran Zhong
- Published: 20 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Fair Graph Message Passing
TMLR Paper995 Authors
- 25 Mar 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Mixup to the Random Extreme and Its Performances in Robust Image Classification
TMLR Paper994 Authors
- 24 Mar 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
UGAE: A Novel Approach to Non-exponential Discounting
TMLR Paper993 Authors
- 24 Mar 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone