TMLR Submissions

ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference
Nikita Durasov, Nik Dorndorf, Hieu Le, Pascal Fua
- Published: 18 Apr 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Efficient Large Language Models: A Survey
Zhongwei Wan, Xin Wang, Che Liu, Samiul Alam, Yu Zheng, Jiachen Liu, Zhongnan Qu, Shen Yan, Yi Zhu, Quanlu Zhang, Mosharaf Chowdhury, Mi Zhang
- Published: 20 May 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Holistic Molecular Representation Learning via Multi-view Fragmentation
Seojin Kim, Jaehyun Nam, Junsu Kim, Hankook Lee, Sungsoo Ahn, Jinwoo Shin
- Published: 07 Jun 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Towards Truly Zero-shot Compositional Visual Reasoning with LLMs as Programmers
Aleksandar Stanić, Sergi Caelles, Michael Tschannen
- Published: 01 May 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Beyond Regrets: Geometric Metrics for Bayesian Optimization
TMLR Paper2010 Authors
- 03 Jan 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
BP($\mathbf{\lambda}$): Online Learning via Synthetic Gradients
Joseph Oliver Pemberton, Rui Ponte Costa
- Published: 13 Apr 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Diffusion Model-Augmented Behavioral Cloning
TMLR Paper2008 Authors
- 03 Jan 2024 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
Understanding Smoothness of Vector Gaussian Processes on Product Spaces
Emilio Porcu, Ana Paula Peron, Eugenio Massa, Xavier Emery
- Published: 13 May 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes
Yuhta Takida, Yukara Ikemiya, Takashi Shibuya, Kazuki Shimada, Woosung Choi, Chieh-Hsin Lai, Naoki Murata, Toshimitsu Uesaka, Kengo Uchida, Wei-Hsiang Liao, Yuki Mitsufuji
- Published: 26 Mar 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Fair Representation in Submodular Subset Selection: A Pareto Optimization Approach
Adriano Fazzone, Yanhao Wang, Francesco Bonchi
- Published: 16 Jul 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Distributed Training of Large Graph Neural Networks with Variable Communication Rates
TMLR Paper2004 Authors
- 03 Jan 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
LeanVec: Searching vectors faster by making them fit
Mariano Tepper, Ishwar Singh Bhati, Cecilia Aguerrebere, Mark Hildebrand, Theodore L. Willke
- Published: 28 May 2024, Last Modified: 09 May 2025
- Accepted by TMLR
- Readers: Everyone
Variational excess risk bound for general state space models
Elisabeth Gassiat, Sylvain Le Corff
- Published: 01 Jul 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Personalised Federated Learning On Heterogeneous Feature Spaces
Alain Rakotomamonjy, Maxime Vono, Hamlet Jesse Medina Ruiz, Liva Ralaivola
- Published: 17 Apr 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
SARI: Simplistic Average and Robust Identification based Noisy Partial Label Learning
TMLR Paper2000 Authors
- 02 Jan 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Machine Learning for the Multi-Dimensional Bin Packing Problem: Literature Review and Empirical Evaluation
TMLR Paper1999 Authors
- 02 Jan 2024 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
Graph Harmony: Denoising and Nuclear-Norm Wasserstein Adaptation for Enhanced Domain Transfer in Graph-Structured Data
TMLR Paper1998 Authors
- 02 Jan 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Unsupervised Federated Domain Adaptation for Segmentation of MRI Images
TMLR Paper1997 Authors
- 02 Jan 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Amortized Bayesian Decision Making for simulation-based models
Mila Gorecki, Jakob H. Macke, Michael Deistler
- Published: 27 May 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees
James Queeney, Erhan Can Ozcan, Ioannis Paschalidis, Christos Cassandras
- Published: 25 Mar 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Training Graph Neural Networks Subject to a Tight Lipschitz Constraint
Simona Ioana Juvina, Ana Antonia Neacșu, Jérôme Rony, Jean-Christophe Pesquet, Corneliu Burileanu, Ismail Ben Ayed
- Published: 15 May 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Locally Optimal Fixed-Budget Best Arm Identification in Two-Armed Gaussian Bandits with Unknown Variances
TMLR Paper1993 Authors
- 01 Jan 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Worst-Case Optimal Multi-Armed Gaussian Best Arm Identification with a Fixed Budget
TMLR Paper1992 Authors
- 01 Jan 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Efficient Variational Continual Learning with optimal parameter trajectory in parameter hyperspace
TMLR Paper1991 Authors
- 01 Jan 2024 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
Investigating the Sim2real Gap in Computer Vision for Robotics
TMLR Paper1990 Authors
- 01 Jan 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone