TMLR Submissions

Unlocking Unlabeled Data: Ensemble Learning with the Hui-Walter Paradigm for Performance Estimation in Online and Static Settings
TMLR Paper1325 Authors
- 24 Jun 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
SHAP-XRT: The Shapley Value Meets Conditional Independence Testing
Jacopo Teneggi, Beepul Bharti, Yaniv Romano, Jeremias Sulam
- Published: 13 Dec 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Using VAEs to Learn Latent Variables: Observations on Applications in cryo-EM
TMLR Paper1323 Authors
- 23 Jun 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Survey of Scientific Rigor Studied in Machine Learning
TMLR Paper1322 Authors
- 23 Jun 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Offline Reinforcement Learning with Mixture of Deterministic Policies
Takayuki Osa, Akinobu Hayashi, Pranav Deo, Naoki Morihira, Takahide Yoshiike
- Published: 19 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Offline Reinforcement Learning with Additional Covering Distributions
Chenjie Mao
- Published: 09 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Simplifying and Understanding State Space Models with Diagonal Linear RNNs
Ankit Gupta, Harsh Mehta, Jonathan Berant
- 23 Jun 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Representation Ensembling for Synergistic Lifelong Learning with Quasilinear Complexity
TMLR Paper1318 Authors
- 22 Jun 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Federated Sampling with Langevin Algorithm under Isoperimetry
Lukang Sun, Adil Salim, Peter Richtárik
- Published: 30 Jan 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Multi-Domain Long-Tailed Learning by Augmenting Disentangled Representations
Xinyu Yang, Huaxiu Yao, Allan Zhou, Chelsea Finn
- Published: 06 Oct 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
No Free Lunch in Self Supervised Representation Learning
TMLR Paper1315 Authors
- 22 Jun 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
DreamEdit: Subject-driven Image Editing
Tianle Li, Max Ku, Cong Wei, Wenhu Chen
- Published: 21 Dec 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Models of human preference for learning reward functions
W. Bradley Knox, Stephane Hatgis-Kessell, Serena Booth, Scott Niekum, Peter Stone, Alessandro G Allievi
- Published: 15 Feb 2024, Last Modified: 09 May 2025
- Accepted by TMLR
- Readers: Everyone
MESSY Estimation: Maximum-Entropy based Stochastic and Symbolic densitY Estimation
Tony Tohme, Mohsen Sadr, KAMAL YOUCEF-TOUMI, Nicolas Hadjiconstantinou
- Published: 09 Feb 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Detecting Label Errors in Token Classification Data
TMLR Paper1311 Authors
- 21 Jun 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Trusting the Untrustworthy: A Cautionary Tale on the Pitfalls of Training-based Rejection Option
TMLR Paper1310 Authors
- 21 Jun 2023 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
Transport with Support: Data-Conditional Diffusion Bridges
Ella Tamir, Martin Trapp, Arno Solin
- Published: 09 Dec 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Boomerang: Local sampling on image manifolds using diffusion models
Lorenzo Luzi, Paul M Mayer, Josue Casco-Rodriguez, Ali Siahkoohi, Richard Baraniuk
- Published: 11 Jan 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Improved identification accuracy in equation learning via comprehensive $\boldsymbol{R^2}$-elimination and Bayesian model selection
Daniel Nickelsen, Bubacarr Bah
- Published: 25 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
About the Cost of Central Privacy in Density Estimation
Clément Lalanne, Aurélien Garivier, Rémi Gribonval
- Published: 31 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Learn the Time to Learn: Replay Scheduling in Continual Learning
Marcus Klasson, Hedvig Kjellstrom, Cheng Zhang
- Published: 01 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Neural Circuit Diagrams: Robust Diagrams for the Communication, Implementation, and Analysis of Deep Learning Architectures
Vincent Abbott
- Published: 11 Jan 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Prediction interval for neural network models using weighted asymmetric loss functions.
TMLR Paper1303 Authors
- 19 Jun 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Auto-configuring Exploration-Exploitation Tradeoff in Population-Based Optimization: A Deep Reinforcement Learning Approach
TMLR Paper1302 Authors
- 19 Jun 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Explaining the origin of adversarial attacks using in-distribution adversarial examples.
TMLR Paper1301 Authors
- 17 Jun 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone