TMLR Submissions

Meta Learning for Support Recovery of High-Dimensional Ising Models
Huiming Xie, Jean Honorio
- Published: 04 Sept 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
SEAL: Simultaneous Label Hierarchy Exploration And Learning
Zhiquan Tan, Zihao Wang, Yifan Zhang
- Published: 23 Jul 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
State-Separated SARSA: A Practical Sequential Decision-Making Algorithm with Recovering Rewards
TMLR Paper2407 Authors
- 22 Mar 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Discriminative reconstruction via simultaneous dense and sparse coding
Abiy Tasissa, Manos Theodosis, Bahareh Tolooshams, Demba E. Ba
- Published: 03 Sept 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Jigsaw Game: Federated Clustering
JINXUAN XU, Hong-You Chen, Wei-Lun Chao, Yuqian Zhang
- Published: 09 Jul 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Fast, accurate and lightweight sequential simulation-based inference using Gaussian locally linear mappings
Henrik Häggström, Pedro L. C. Rodrigues, Geoffroy Oudoumanessah, Florence Forbes, Umberto Picchini
- Published: 08 Jul 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Convergences for Minimax Optimization Problems over Infinite-Dimensional Spaces Towards Stability in Adversarial Training
Takashi Furuya, Satoshi Okuda, Kazuma Suetake, Yoshihide Sawada
- Published: 10 Jun 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
On Using Large Language Models to Generate Plans
TMLR Paper2401 Authors
- 21 Mar 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Multi-Fidelity Active Learning with GFlowNets
Alex Hernández-García, Nikita Saxena, Moksh Jain, Cheng-Hao Liu, Yoshua Bengio
- Published: 25 Jul 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Closing the gap between SVRG and TD-SVRG with Gradient Splitting
Arsenii Mustafin, Alex Olshevsky, Ioannis Paschalidis
- Published: 05 Aug 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
TransformMix: Learning Transformation and Mixing Strategies from Data
TMLR Paper2398 Authors
- 20 Mar 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Learning Tree-Structured Composition of Data Augmentation
Dongyue Li, Kailai Chen, Predrag Radivojac, Hongyang R. Zhang
- Published: 23 Jun 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Predicting the Encoding Error of SIRENs
Jeremy Vonderfecht, Feng Liu
- Published: 24 May 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Promoting Exploration in Memory-Augmented Adam using Critical Momenta
Pranshu Malviya, Goncalo Mordido, Aristide Baratin, Reza Babanezhad Harikandeh, Jerry Huang, Simon Lacoste-Julien, Razvan Pascanu, Sarath Chandar
- Published: 09 Jun 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
IRWE: Inductive Random Walk for Joint Inference of Identity and Position Network Embedding
Meng QIN, Dit-Yan Yeung
- Published: 10 Oct 2024, Last Modified: 10 Oct 2024
- Accepted by TMLR
- Readers: Everyone
A Practical Guide to Sample-based Statistical Distances for Evaluating Generative Models in Science
Sebastian Bischoff, Alana Darcher, Michael Deistler, Richard Gao, Franziska Gerken, Manuel Gloeckler, Lisa Haxel, Jaivardhan Kapoor, Janne K Lappalainen, Jakob H. Macke, Guy Moss, Matthijs Pals, Felix C Pei, Rachel Rapp, A Erdem Sağtekin, Cornelius Schröder, Auguste Schulz, Zinovia Stefanidi, Shoji Toyota, Linda Ulmer et al. (1 additional authors not shown)
- Published: 24 Aug 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Understanding the Role of Invariance in Transfer Learning
Till Speicher, Vedant Nanda, Krishna P. Gummadi
- Published: 09 Jul 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Differentially Private Iterative Screening Rules for Linear Regression
TMLR Paper2388 Authors
- 18 Mar 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Inference- and Optimization-based Approximated Solver for Dynamic Job-shop Scheduling Problem
TMLR Paper2387 Authors
- 18 Mar 2024 (modified: 08 Oct 2024)
- Rejected by TMLR
- Readers: Everyone
Effects of Neural Network Parameter Pruning on Uncertainty Estimation
TMLR Paper2386 Authors
- 18 Mar 2024 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
How to choose the right transfer learning protocol? A qualitative analysis in a controlled set-up
Federica Gerace, Diego Doimo, Stefano Sarao Mannelli, Luca Saglietti, Alessandro Laio
- Published: 06 Aug 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Graph Neural Modeling of Network Flows
TMLR Paper2384 Authors
- 18 Mar 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
A General-Purpose Multi-Modal OOD Detection Framework
Viet Quoc Duong, Qiong Wu, Zhengyi Zhou, Eric Zavesky, WenLing Hsu, Han Zhao, Huajie Shao
- Published: 02 Jul 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Reward Poisoning on Federated Reinforcement Learning
Evelyn Ma, S. Rasoul Etesami, Praneet Rathi
- Published: 24 Sept 2024, Last Modified: 04 Oct 2024
- Accepted by TMLR
- Readers: Everyone
A Short Survey on Importance Weighting for Machine Learning
Masanari Kimura, Hideitsu Hino
- Published: 14 May 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone