TMLR Submissions

Indexed Minimum Empirical Divergence-Based Algorithms for Linear Bandits
Jie Bian, Vincent Y. F. Tan
- Published: 02 Apr 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models
Avi Singh, John D Co-Reyes, Rishabh Agarwal, Ankesh Anand, Piyush Patil, Xavier Garcia, Peter J Liu, James Harrison, Jaehoon Lee, Kelvin Xu, Aaron T Parisi, Abhishek Kumar, Alexander A Alemi, Alex Rizkowsky, Azade Nova, Ben Adlam, Bernd Bohnet, Gamaleldin Fathy Elsayed, Hanie Sedghi, Igor Mordatch et al. (20 additional authors not shown)
- Published: 18 Apr 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Path Development Network with Finite-dimensional Lie Group
Hang Lou, Siran Li, Hao Ni
- Published: 26 Aug 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
From Stability to Chaos: Analyzing Gradient Descent Dynamics in Quadratic Regression
Xuxing Chen, Krishna Balasubramanian, Promit Ghosal, Bhavya Kumar Agrawalla
- Published: 30 Apr 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
E(n)-equivariant Graph Neural Cellular Automata
Gennaro Gala, Daniele Grattarola, Erik Quaeghebeur
- Published: 13 Mar 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Distributionally Robust Policy Evaluation under General Covariate Shift in Contextual Bandits
Yihong Guo, Hao Liu, Yisong Yue, Anqi Liu
- Published: 05 Jun 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Low-Rank Tensor-Network Encodings for Video-to-Action Behavioral Cloning
Brian Chen, Doruk Aksoy, David J Gorsich, Shravan Veerapaneni, Alex Gorodetsky
- Published: 08 Apr 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Efficient Sparse-Reward Goal-Conditioned Reinforcement Learning with a High Replay Ratio and Regularization
TMLR Paper2017 Authors
- 05 Jan 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Interpretable Additive Tabular Transformer Networks
Anton Frederik Thielmann, Arik Reuter, Thomas Kneib, David Rügamer, Benjamin Säfken
- Published: 17 May 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Understanding Fairness Surrogate Functions in Algorithmic Fairness
Wei Yao, Zhanke Zhou, Zhicong Li, Bo Han, Yong Liu
- Published: 07 Apr 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
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: 17 Sept 2024
- 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