TMLR Submissions

Bridging the Gap Between Offline and Online Reinforcement Learning Evaluation Methodologies
Shivakanth Sujit, Pedro Braga, Jorg Bornschein, Samira Ebrahimi Kahou
- Published: 10 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Ranking evaluation metrics from a group-theoretic perspective
TMLR Paper1366 Authors
- 11 Jul 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Pareto Actor-Critic for Equilibrium Selection in Multi-Agent Reinforcement Learning
Filippos Christianos, Georgios Papoudakis, Stefano V Albrecht
- Published: 24 Oct 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Reliable Active Learning via Influence Functions
Meng Xia, Ricardo Henao
- Published: 25 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Analysis of Convolutions, Non-linearity and Depth in Graph Neural Networks using Neural Tangent Kernel
Mahalakshmi Sabanayagam, Pascal Esser, Debarghya Ghoshdastidar
- Published: 13 Oct 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning
TMLR Paper1362 Authors
- 10 Jul 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Resmax: An Alternative Soft-Greedy Operator for Reinforcement Learning
Erfan Miahi, Revan MacQueen, Alex Ayoub, Abbas Masoumzadeh, Martha White
- Published: 23 Dec 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Revisiting Parameter Sharing in Multi-Agent Deep Reinforcement Learning
TMLR Paper1359 Authors
- 09 Jul 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Efficient Weighting and Optimization in Federated Learning: A Primal-Dual Approach
TMLR Paper1358 Authors
- 08 Jul 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Provably Safe Reinforcement Learning: Conceptual Analysis, Survey, and Benchmarking
Hanna Krasowski, Jakob Thumm, Marlon Müller, Lukas Schäfer, Xiao Wang, Matthias Althoff
- Published: 17 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Estimating Differential Equations from Temporal Point Processes
Shuichi Miyazawa, Daichi Mochihashi
- Published: 21 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
A Simple Baseline for Task-Agnostic Self-Training
TMLR Paper1355 Authors
- 07 Jul 2023 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
Transfer Learning for High-dimensional Quantile Regression with Statistical Guarantee
Sheng Qiao, Yong He, Wenxin Zhou
- Published: 17 Feb 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
RLTF: Reinforcement Learning from Unit Test Feedback
Jiate Liu, Yiqin Zhu, Kaiwen Xiao, QIANG FU, Xiao Han, Yang Wei, Deheng Ye
- Published: 10 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Wrapped $\beta$-Gaussians with compact support for exact probabilistic modeling on manifolds
Sergey Troshin, Vlad Niculae
- Published: 05 Dec 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Distributed Newton-Type Methods with Communication Compression and Bernoulli Aggregation
Rustem Islamov, Xun Qian, Slavomir Hanzely, Mher Safaryan, Peter Richtárik
- Published: 17 Oct 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Design of the topology for contrastive visual-textual alignment
TMLR Paper1349 Authors
- 06 Jul 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Understanding Curriculum Learning in Policy Optimization for Online Combinatorial Optimization
Runlong Zhou, Zelin He, Yuandong Tian, Yi Wu, Simon Shaolei Du
- Published: 06 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Invariant Structure Learning for Better Generalization and Causal Explainability
Yunhao Ge, Sercan O Arik, Jinsung Yoon, Ao Xu, Laurent Itti, Tomas Pfister
- Published: 10 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
A Survey on Transformers in Reinforcement Learning
Wenzhe Li, Hao Luo, Zichuan Lin, Chongjie Zhang, Zongqing Lu, Deheng Ye
- Published: 19 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Semi-Supervised Single Domain Generalization with Label-Free Adversarial Data Augmentation
Ronghang Zhu, Xiang Yu, Sheng Li
- Published: 04 Dec 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Invertible Hierarchical Generative Model for Images
Heikki Timonen, Miika Aittala, Jaakko Lehtinen
- Published: 16 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Evaluating Human-Language Model Interaction
Mina Lee, Megha Srivastava, Amelia Hardy, John Thickstun, Esin Durmus, Ashwin Paranjape, Ines Gerard-Ursin, Xiang Lisa Li, Faisal Ladhak, Frieda Rong, Rose E Wang, Minae Kwon, Joon Sung Park, Hancheng Cao, Tony Lee, Rishi Bommasani, Michael S. Bernstein, Percy Liang
- Published: 10 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Out-of-distribution Detection with Test Time Augmentation and Consistency Evaluation
TMLR Paper1342 Authors
- 01 Jul 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting
Viraj Uday Prabhu, David Acuna, Rafid Mahmood, Marc T. Law, Yuan-Hong Liao, Judy Hoffman, Sanja Fidler, James Lucas
- Published: 04 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone