TMLR Submissions

Sequential Query Encoding for Complex Query Answering on Knowledge Graphs
Jiaxin Bai, Tianshi Zheng, Yangqiu Song
- Published: 25 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Critic Identifiability in Offline Reinforcement Learning with a Deterministic Exploration Policy
TMLR Paper895 Authors
- 24 Feb 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
An Explicit Expansion of the Kullback-Leibler Divergence along its Fisher-Rao Gradient Flow
Carles Domingo-Enrich, Aram-Alexandre Pooladian
- Published: 25 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
The Geometry of Mixability
Armando J Cabrera Pacheco, Robert Williamson
- Published: 11 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Robust Self-Supervised Learning with Lie Groups
TMLR Paper891 Authors
- 22 Feb 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Expected Worst Case Regret via Stochastic Sequential Covering
Changlong Wu, Mohsen Heidari, Ananth Grama, Wojciech Szpankowski
- Published: 05 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
The Vendi Score: A Diversity Evaluation Metric for Machine Learning
Dan Friedman, Adji Bousso Dieng
- Published: 01 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
CoCoFL: Communication- and Computation-Aware Federated Learning via Partial NN Freezing and Quantization
Kilian Pfeiffer, Martin Rapp, Ramin Khalili, Joerg Henkel
- Published: 28 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Positive Difference Distribution for Image Outlier Detection using Normalizing Flows and Contrastive Data
Robert Schmier, Ullrich Koethe, Christoph-Nikolas Straehle
- Published: 26 Apr 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
MAC: A unified framework boosting low resource automatic speech recognition
TMLR Paper886 Authors
- 22 Feb 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Dr-Fairness: Dynamic Data Ratio Adjustment for Fair Training on Real and Generated Data
Yuji Roh, Weili Nie, De-An Huang, Steven Euijong Whang, Arash Vahdat, Anima Anandkumar
- Published: 04 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Rotation-Invariant Random Features Provide a Strong Baseline for Machine Learning on 3D Point Clouds
Owen Melia, Eric M Jonas, Rebecca Willett
- Published: 19 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Likelihood Annealing: Fast Calibrated Uncertainty for Regression
TMLR Paper883 Authors
- 21 Feb 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Off-Policy Evaluation with Out-of-Sample Guarantees
Sofia Ek, Dave Zachariah, Fredrik D. Johansson, Peter Stoica
- Published: 17 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Comparative Generalization Bounds for Deep Neural Networks
Tomer Galanti, Liane Galanti, Ido Ben-Shaul
- Published: 26 May 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Improving Differentially Private SGD via Randomly Sparsified Gradients
Junyi Zhu, Matthew B. Blaschko
- Published: 28 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Assuming Locally Equal Calibration Errors for Non-Parametric Multiclass Calibration
Kaspar Valk, Meelis Kull
- Published: 06 Jun 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Membership Inference Attacks Against Semantic Segmentation Models
TMLR Paper878 Authors
- 20 Feb 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Feature Selection for Huge Data via Minipatch Learning
TMLR Paper877 Authors
- 19 Feb 2023 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
The Eigenlearning Framework: A Conservation Law Perspective on Kernel Ridge Regression and Wide Neural Networks
James B Simon, Madeline Dickens, Dhruva Karkada, Michael R DeWeese
- Published: 15 Jun 2023, Last Modified: 31 Jan 2025
- Accepted by TMLR
- Readers: Everyone
Stochastic Constrained DRO with a Complexity Independent of Sample Size
Qi Qi, Jiameng Lyu, Kung-Sik Chan, Er-Wei Bai, Tianbao Yang
- Published: 05 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Generalization bounds and algorithms for estimating the effect of multiple treatments and dosage
TMLR Paper874 Authors
- 17 Feb 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training
Utku Ozbulak, Hyun Jung Lee, Beril Boga, Esla Timothy Anzaku, Ho-min Park, Arnout Van Messem, Wesley De Neve, Joris Vankerschaver
- Published: 17 May 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Black-Box Batch Active Learning for Regression
Andreas Kirsch
- Published: 09 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Amortized Learning of Flexible Feature Scaling for Image Segmentation
TMLR Paper871 Authors
- 16 Feb 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone