TMLR Submissions

Scaling Laws for Predicting Downstream Performance in LLMs
Yangyi Chen, Binxuan Huang, Yifan Gao, Zhengyang Wang, Jingfeng Yang, Heng Ji
- Published: 16 Apr 2025, Last Modified: 16 Apr 2025
- Accepted by TMLR
- Readers: Everyone
MOCK: an Algorithm for Learning Nonparametric Differential Equations via Multivariate Occupation Kernel Functions
Victor William Rielly, Kamel Lahouel, Ethan Lew, Nicholas Fisher, Vicky Geneva Haney, Michael Lee Wells, Bruno Michel Jedynak
- Published: 21 Jul 2025, Last Modified: 21 Jul 2025
- Accepted by TMLR
- Readers: Everyone
Generalized Prediction Set with Bandit Feedback
Zhou Wang, Xingye Qiao
- Published: 07 May 2025, Last Modified: 07 May 2025
- Accepted by TMLR
- Readers: Everyone
Redistributing Token-Level Rewards from Sequence-Level Feedback
TMLR Paper3883 Authors
- 08 Jan 2025 (modified: 14 Apr 2025)
- Rejected by TMLR
- Readers: Everyone
Sparsity regularization via tree-structured environments for disentangled representations
Elliot Layne, Jason Hartford, Sebastien Lachapelle, Mathieu Blanchette, Dhanya Sridhar
- Published: 26 Jul 2025, Last Modified: 26 Jul 2025
- Accepted by TMLR
- Readers: Everyone
LASE: Learned Adjacency Spectral Embeddings
María Sofía Pérez Casulo, Marcelo Fiori, Federico Larroca, Gonzalo Mateos
- Published: 13 Jun 2025, Last Modified: 13 Jun 2025
- Accepted by TMLR
- Readers: Everyone
ReDistill: Residual Encoded Distillation for Peak Memory Reduction of CNNs
Fang Chen, Gourav Datta, Mujahid Al Rafi, Hyeran Jeon, Meng Tang
- Published: 28 Apr 2025, Last Modified: 28 Apr 2025
- Accepted by TMLR
- Readers: Everyone
How far away are truly hyperparameter-free learning algorithms?
Priya Kasimbeg, Vincent Roulet, Naman Agarwal, Sourabh Medapati, Fabian Pedregosa, Atish Agarwala, George E. Dahl
- Published: 20 May 2025, Last Modified: 10 Jun 2025
- Accepted by TMLR
- Readers: Everyone
RS-Reg: Probabilistic and Robust Certified Regression through Randomized Smoothing
Aref Miri Rekavandi, Olga Ohrimenko, Benjamin I. P. Rubinstein
- Published: 29 Apr 2025, Last Modified: 29 Apr 2025
- Accepted by TMLR
- Readers: Everyone
Neural Logic Networks for Interpretable Classification
TMLR Paper3873 Authors
- 07 Jan 2025 (modified: 02 Jul 2025)
- Rejected by TMLR
- Readers: Everyone
Exploiting Open-World Data for Adaptive Continual Learning
TMLR Paper3870 Authors
- 07 Jan 2025 (modified: 16 Jun 2025)
- Rejected by TMLR
- Readers: Everyone
Consistency-Guided Asynchronous Contrastive Tuning for Few-Shot Class-Incremental Tuning of Foundation Models
Shuvendu Roy, Elham Dolatabadi, Arash Afkanpour, Ali Etemad
- Published: 02 Apr 2025, Last Modified: 02 Apr 2025
- Accepted by TMLR
- Readers: Everyone
Approximation, Estimation and Optimization Errors for a Deep Neural Network
Gerrit Welper, Benjamin Keene
- Published: 03 Aug 2025, Last Modified: 03 Aug 2025
- Accepted by TMLR
- Readers: Everyone
Simplifying Actor-Critic Reinforcement Learning: Mitigating Overestimation Bias with a Single Distributional Critic
TMLR Paper3867 Authors
- 07 Jan 2025 (modified: 25 Mar 2025)
- Rejected by TMLR
- Readers: Everyone
Statistical Error Bounds for GANs with Nonlinear Objective Functionals
Jeremiah Birrell
- Published: 18 May 2025, Last Modified: 18 May 2025
- Accepted by TMLR
- Readers: Everyone
Do Generative Models Learn Rare Generative Factors?
TMLR Paper3865 Authors
- 07 Jan 2025 (modified: 01 Sept 2025)
- Rejected by TMLR
- Readers: Everyone
Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning
Nisha L. Raichur, Lucas Heublein, Tobias Feigl, Alexander Rügamer, Christopher Mutschler, Felix Ott
- Published: 05 Apr 2025, Last Modified: 05 Apr 2025
- Accepted by TMLR
- Readers: Everyone
LLM-TS Integrator: Integrating LLM for Enhanced Time Series Modeling
Can Chen, Gabriel L. Oliveira, Hossein Sharifi-Noghabi, Tristan Sylvain
- Published: 26 Apr 2025, Last Modified: 26 Apr 2025
- Accepted by TMLR
- Readers: Everyone
Minimizing Polarization from Partially to Fully Observable Initial Opinions
TMLR Paper3861 Authors
- 07 Jan 2025 (modified: 18 Apr 2025)
- Rejected by TMLR
- Readers: Everyone
Connecting Parameter Magnitudes and Hessian Eigenspaces at Scale using Sketched Methods
Andres Fernandez, Frank Schneider, Maren Mahsereci, Philipp Hennig
- Published: 23 Apr 2025, Last Modified: 23 Apr 2025
- Accepted by TMLR
- Readers: Everyone
Covariate-dependent Graphical Model Estimation via Neural Networks with Statistical Guarantees
Jiahe Lin, Yikai Zhang, George Michailidis
- Published: 26 Apr 2025, Last Modified: 26 Apr 2025
- Accepted by TMLR
- Readers: Everyone
Video Anomaly Detection with Contours - A Study
TMLR Paper3855 Authors
- 07 Jan 2025 (modified: 25 Mar 2025)
- Withdrawn by Authors
- Readers: Everyone
Node Classification With Reject Option
Uday Bhaskar Kuchipudi, Jayadratha Gayen, Charu Sharma, Naresh Manwani
- Published: 17 May 2025, Last Modified: 17 May 2025
- Accepted by TMLR
- Readers: Everyone
An Empirical Study on Information Extraction using Large Language Models
TMLR Paper3853 Authors
- 07 Jan 2025 (modified: 18 Apr 2025)
- Rejected by TMLR
- Readers: Everyone
A Vector Bernstein Inequality for Self-Normalized Martingales
Ingvar Ziemann
- Published: 27 Mar 2025, Last Modified: 27 Mar 2025
- Accepted by TMLR
- Readers: Everyone