TMLR Submissions

Probabilistic Matching of Real and Generated Data Statistics in Generative Adversarial Networks
Philipp Pilar, Niklas Wahlström
- Published: 05 Sept 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Reward Collapse in Aligning Large Language Models
TMLR Paper2936 Authors
- 28 Jun 2024 (modified: 18 Oct 2024)
- Rejected by TMLR
- Readers: Everyone
LLM-Select: Feature Selection with Large Language Models
Daniel P Jeong, Zachary Chase Lipton, Pradeep Kumar Ravikumar
- Published: 17 Apr 2025, Last Modified: 17 Apr 2025
- Accepted by TMLR
- Readers: Everyone
FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance
Lingjiao Chen, Matei Zaharia, James Zou
- Published: 20 Dec 2024, Last Modified: 20 Dec 2024
- Accepted by TMLR
- Readers: Everyone
Effective Backdoor Mitigation in Vision-Language Models Depends on the Pre-training Objective
Sahil Verma, Gantavya Bhatt, Avi Schwarzschild, Soumye Singhal, Arnav Mohanty Das, Chirag Shah, John P Dickerson, Pin-Yu Chen, Jeff Bilmes
- Published: 05 Jan 2025, Last Modified: 05 Jan 2025
- Accepted by TMLR
- Readers: Everyone
Faster optimal univariate microaggregation
Felix I. Stamm, Michael T Schaub
- Published: 23 Oct 2024, Last Modified: 23 Oct 2024
- Accepted by TMLR
- Readers: Everyone
Distributed Multi-Agent Lifelong Learning
Prithviraj Tarale, Edward Rietman, Hava T Siegelmann
- Published: 21 Jan 2025, Last Modified: 21 Jan 2025
- Accepted by TMLR
- Readers: Everyone
Bandits with Mean Bounds
Nihal Sharma, Soumya Basu, Karthikeyan Shanmugam, Sanjay Shakkottai
- Published: 08 Nov 2024, Last Modified: 08 Nov 2024
- Accepted by TMLR
- Readers: Everyone
Learning Nonparametric Differential Equations via Multivariate Occupation Kernel Functions
TMLR Paper2929 Authors
- 26 Jun 2024 (modified: 27 Nov 2024)
- Rejected by TMLR
- Readers: Everyone
The Unreasonable Effectiveness of Gaussian Score Approximation for Diffusion Models and its Applications
Binxu Wang, John Vastola
- Published: 04 Dec 2024, Last Modified: 04 Dec 2024
- Accepted by TMLR
- Readers: Everyone
Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning
TMLR Paper2927 Authors
- 26 Jun 2024 (modified: 21 Nov 2024)
- Rejected by TMLR
- Readers: Everyone
Variational Pseudo Marginal Methods for Jet Reconstruction in Particle Physics
Hanming Yang, Antonio Khalil Moretti, Sebastian Macaluso, Philippe Chlenski, Christian A. Naesseth, Itsik Pe'er
- Published: 12 Dec 2024, Last Modified: 12 Dec 2024
- Accepted by TMLR
- Readers: Everyone
λ-ECLIPSE: Multi-Concept Personalized Text-to-Image Diffusion Models by Leveraging CLIP Latent Space
Maitreya Patel, Sangmin Jung, Chitta Baral, Yezhou Yang
- Published: 22 Nov 2024, Last Modified: 22 Nov 2024
- Accepted by TMLR
- Readers: Everyone
Privacy Preserving Reinforcement Learning for Population Processes
Samuel Yang-Zhao, Kee Siong Ng
- Published: 29 Dec 2024, Last Modified: 29 Dec 2024
- Accepted by TMLR
- Readers: Everyone
Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity
Charlie Hou, Kiran Koshy Thekumparampil, Michael Shavlovsky, Giulia Fanti, Yesh Dattatreya, sujay sanghavi
- Published: 24 Nov 2024, Last Modified: 24 Nov 2024
- Accepted by TMLR
- Readers: Everyone
Beyond Joint Demonstrations: Personalized Expert Guidance for Efficient Multi-Agent Reinforcement Learning
Peihong Yu, Manav Mishra, Alec Koppel, Carl Busart, Priya Narayan, Dinesh Manocha, Amrit Singh Bedi, Pratap Tokekar
- Published: 02 Jan 2025, Last Modified: 19 Jan 2025
- Accepted by TMLR
- Readers: Everyone
Conditional Idempotent Generative Networks
TMLR Paper2921 Authors
- 25 Jun 2024 (modified: 20 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Improving Text-to-Image Consistency via Automatic Prompt Optimization
Oscar Mañas, Pietro Astolfi, Melissa Hall, Candace Ross, Jack Urbanek, Adina Williams, Aishwarya Agrawal, Adriana Romero-Soriano, Michal Drozdzal
- Published: 03 Dec 2024, Last Modified: 09 May 2025
- Accepted by TMLR
- Readers: Everyone
Trusted Aggregation (TAG): Backdoor Defense in Federated Learning
Joseph Lavond, Minhao Cheng, Yao Li
- Published: 19 Nov 2024, Last Modified: 12 Mar 2025
- Accepted by TMLR
- Readers: Everyone
Risk-Controlling Model Selection via Guided Bayesian Optimization
Bracha Laufer-Goldshtein, Adam Fisch, Regina Barzilay, Tommi Jaakkola
- Published: 30 Oct 2024, Last Modified: 09 May 2025
- Accepted by TMLR
- Readers: Everyone
Recurrent Inertial Graph-Based Estimator (RING): A Single Pluripotent Inertial Motion Tracking Solution
Simon Bachhuber, Ive Weygers, Dustin Lehmann, Mischa Dombrowski, Thomas Seel
- Published: 13 Oct 2024, Last Modified: 09 May 2025
- Accepted by TMLR
- Readers: Everyone
Differentially Private Latent Diffusion Models
Michael F Liu, Saiyue Lyu, Margarita Vinaroz, Mijung Park
- Published: 16 Nov 2024, Last Modified: 16 Nov 2024
- Accepted by TMLR
- Readers: Everyone
Confidence Intervals and Simultaneous Confidence Bands Based on Deep Learning
Asaf Ben Arie, Malka Gorfine
- Published: 24 Nov 2024, Last Modified: 06 Jan 2025
- Accepted by TMLR
- Readers: Everyone
Effect of Random Learning Rate: Theoretical Analysis of SGD Dynamics in Non-Convex Optimization via Stationary Distribution
TMLR Paper2913 Authors
- 23 Jun 2024 (modified: 09 Oct 2024)
- Rejected by TMLR
- Readers: Everyone
A Theoretical Framework for Zeroth-Order Budget Convex Optimization
François Bachoc, Tommaso Cesari, Roberto Colomboni, Andrea Paudice
- Published: 04 Oct 2024, Last Modified: 04 Oct 2024
- Accepted by TMLR
- Readers: Everyone