TMLR Submissions

Large Language Models' Understanding of Mathematics: Source Criticism and Extrapolation
TMLR Paper1802 Authors
- 09 Nov 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Statistical and Computational Complexities of BFGS Quasi-Newton Method for Generalized Linear Models
Qiujiang Jin, Tongzheng Ren, Nhat Ho, Aryan Mokhtari
- Published: 21 May 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
PC-SwinMorph: Patch Representation for Unsupervised Medical Image Registration
TMLR Paper1800 Authors
- 08 Nov 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Hierarchical Decomposition Framework for Feasibility-hard Combinatorial Optimization
TMLR Paper1799 Authors
- 08 Nov 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Positive Unlabeled Learning Selected Not At Random (PULSNAR): class proportion estimation when the SCAR assumption does not hold
TMLR Paper1798 Authors
- 07 Nov 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
New Guarantees for Learning Revenue Maximizing Menus of Lotteries and Two-Part Tariffs
Maria Florina Balcan, Hedyeh Beyhaghi
- Published: 25 Mar 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Fast and Expressive Gesture Recognition using a Combination-Homomorphic Electromyogram Encoder
Niklas Smedemark-Margulies, Yunus Bicer, Elifnur Sunger, Tales Imbiriba, Eugene Tunik, Deniz Erdogmus, Mathew Yarossi, Robin Walters
- Published: 04 Apr 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
PopulAtion Parameter Averaging (PAPA)
Alexia Jolicoeur-Martineau, Emy Gervais, Kilian FATRAS, Yan Zhang, Simon Lacoste-Julien
- Published: 05 Apr 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Addressing Attribute Bias with Adversarial Support-Matching
Thomas Kehrenberg, Myles Bartlett, Viktoriia Sharmanska, Novi Quadrianto
- Published: 14 Mar 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
On permutation-invariant neural networks: A survey
TMLR Paper1793 Authors
- 06 Nov 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Multi-Agent Coordination via Multi-Level Communication
TMLR Paper1792 Authors
- 06 Nov 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Progressive-Hint Prompting Improves Reasoning in Large Language Models
TMLR Paper1791 Authors
- 06 Nov 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Maximizing Global Model Appeal in Federated Learning
Yae Jee Cho, Divyansh Jhunjhunwala, Tian Li, Virginia Smith, Gauri Joshi
- Published: 15 Mar 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Sharpness-Aware Minimization Scaled by Outlier Normalization for Improving Robustness on Noisy DNN Accelerators
TMLR Paper1788 Authors
- 03 Nov 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Learning Sparse Graphs for Functional Regression using Graph-induced Operator-valued Kernels
Akash Saha, Balamurugan Palaniappan
- Published: 15 Mar 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Guided DropBlock and CNN Filter Augmentation for Data Constrained Learning
TMLR Paper1786 Authors
- 03 Nov 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
A decoder-only foundation model for time-series forecasting
TMLR Paper1785 Authors
- 03 Nov 2023 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
Break it, Imitate it, Fix it: Robustness by Generating Human-Like Attacks
Aradhana Sinha, Ananth Balashankar, Ahmad Beirami, Thi Avrahami, Jilin Chen, Alex Beutel
- Published: 29 Jan 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Low-Rank Learning by Design: the Role of Network Architecture and Activation Linearity in Gradient Rank Collapse
TMLR Paper1783 Authors
- 03 Nov 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Mixed Nash for Robust Federated Learning
Wanyun Xie, Thomas Pethick, Ali Ramezani-Kebrya, Volkan Cevher
- Published: 21 Feb 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and as Non-Linear Diffusion
Dai Shi, Zhiqi Shao, Yi Guo, Qibin Zhao, Junbin Gao
- Published: 16 Mar 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Discovering Model Structure of Dynamical Systems with Combinatorial Bayesian Optimization
Lucas Rath, Alexander von Rohr, Andreas Schultze, Sebastian Trimpe, Burkhard Corves
- Published: 06 Mar 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Anytime-Valid Confidence Sequences for Consistent Uncertainty Estimation in Early-Exit Neural Networks
TMLR Paper1775 Authors
- 02 Nov 2023 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
Are Population Graphs Really as Powerful as Believed?
Tamara T. Müller, Sophie Starck, Kyriaki-Margarita Bintsi, Alexander Ziller, Rickmer Braren, Georgios Kaissis, Daniel Rueckert
- Published: 29 Feb 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
The Interplay of Uncertainty Modeling and Deep Active Learning: An Empirical Analysis in Image Classification
Denis Huseljic, Marek Herde, Yannick Nagel, Lukas Rauch, Paulius Strimaitis, Bernhard Sick
- Published: 12 May 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone