TMLR Submissions

Budgeted Online Model Selection and Fine-Tuning via Federated Learning
Pouya M. Ghari, Yanning Shen
- Published: 27 Feb 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
In search of projectively equivariant networks
Georg Bökman, Axel Flinth, Fredrik Kahl
- Published: 29 Dec 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Empowering GNNs via Edge-Aware Weisfeiler-Leman Algorithm
Meng Liu, Haiyang Yu, Shuiwang Ji
- Published: 24 Jan 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Evaluation of Causal Inference Models to Access Heterogeneous Treatment Effect
TMLR Paper1648 Authors
- 05 Oct 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Separability Analysis for Causal Discovery in Mixture of DAGs
Burak Varici, Dmitriy Katz, Dennis Wei, Prasanna Sattigeri, Ali Tajer
- Published: 19 Jan 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Wasserstein Distributionally Robust Policy Evaluation and Learning for Contextual Bandits
Yi Shen, Pan Xu, Michael Zavlanos
- Published: 15 Jan 2024, Last Modified: 09 May 2025
- Accepted by TMLR
- Readers: Everyone
Discovery of Hierarchy in Embedding Space
Ankita Chatterjee, Jayanta Mukhopadhyay, Partha Das
- 04 Oct 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Optical Transformers
Maxwell Anderson, Shi-Yuan Ma, Tianyu Wang, Logan Wright, Peter McMahon
- Published: 25 Mar 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Blockwise Self-Supervised Learning at Scale
Shoaib Siddiqui, David Krueger, Yann LeCun, Stephane Deny
- Published: 30 Jan 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Using Sum-Product Networks to Assess Uncertainty in Deep Active Learning
Mohamadsadegh Khosravani, Sandra Zilles
- Published: 04 Mar 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Control, Transport and Sampling: The Benefit of a Reference Process
TMLR Paper1636 Authors
- 01 Oct 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
A Globally Convergent Algorithm for Neural Network Parameter Optimization Based on Difference-of-Convex Functions
Daniel Tschernutter, Mathias Kraus, Stefan Feuerriegel
- Published: 14 Jan 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Towards an Understanding of Decision-Time vs. Background Planning in Model-Based Reinforcement Learning
TMLR Paper1634 Authors
- 01 Oct 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Deep Goal-Oriented Clustering
TMLR Paper1633 Authors
- 30 Sept 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
How does over-squashing affect the power of GNNs?
Francesco Di Giovanni, T. Konstantin Rusch, Michael Bronstein, Andreea Deac, Marc Lackenby, Siddhartha Mishra, Petar Veličković
- Published: 09 Mar 2024, Last Modified: 29 Nov 2024
- Accepted by TMLR
- Readers: Everyone
Continual HyperTransformer: A Meta-Learner for Continual Few-Shot Learning
Max Vladymyrov, Andrey Zhmoginov, Mark Sandler
- Published: 03 May 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Regret-Optimal Federated Transfer Learning for Kernel Regression – with Applications in American Option Pricing
TMLR Paper1630 Authors
- 29 Sept 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Understanding the Role of Layer Normalization in Label-Skewed Federated Learning
Guojun Zhang, Mahdi Beitollahi, Alex Bie, Xi Chen
- Published: 06 Feb 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Improving Robustness and Diversity with Adversarial Contrastive Network Ensembles
TMLR Paper1628 Authors
- 29 Sept 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Accelerated Deep Active Learning with Graph-based Sub-Sampling
TMLR Paper1626 Authors
- 29 Sept 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Does Representation Similarity Capture Function Similarity?
Lucas Hayne, Heejung Jung, R. Carter
- Published: 13 Apr 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Debiasing Machine Learning Models by Using Weakly Supervised Learning
TMLR Paper1624 Authors
- 28 Sept 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Bias/Variance is not the same as Approximation/Estimation
Gavin Brown, Riccardo Ali
- Published: 05 Mar 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
TensorVAE: a simple and efficient generative model for conditional molecular conformation generation
Hongyang Yu, Hongjiang Yu
- Published: 29 Jan 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
To Transfer or Not to Transfer: Suppressing Concepts from Source Representations
Vijay Sadashivaiah, Keerthiram Murugesan, Ronny Luss, Pin-Yu Chen, Chris Sims, James Hendler, Amit Dhurandhar
- Published: 23 Jan 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone