TMLR Submissions

Are you using test log-likelihood correctly?
Sameer Deshpande, Soumya Ghosh, Tin D. Nguyen, Tamara Broderick
- Published: 30 Jan 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Pathwise gradient variance reduction with control variates in variational inference
TMLR Paper1528 Authors
- 31 Aug 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series
David W. Romero, Erik J Bekkers, Jakub M. Tomczak, Mark Hoogendoorn
- Published: 21 Jan 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
CR-MoE: Consistent Routed Mixture-of-Experts for Scaling Contrastive Learning
Ziyu Jiang, Guoqing Zheng, Yu Cheng, Ahmed Hassan Awadallah, Zhangyang Wang
- Published: 13 Feb 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Accelerating Batch Active Learning Using Continual Learning Techniques
Arnav Mohanty Das, Gantavya Bhatt, Megh Manoj Bhalerao, Vianne R. Gao, Rui Yang, Jeff Bilmes
- Published: 02 Dec 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
HICO-DET-SG and V-COCO-SG: New Data Splits for Evaluating the Systematic Generalization Performance of Human-Object Interaction Detection Models
TMLR Paper1521 Authors
- 29 Aug 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Large Language Models as your Personal Data Scientist
TMLR Paper1520 Authors
- 28 Aug 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Threshold-aware Learning to Generate Feasible Solutions for Mixed Integer Programs
TMLR Paper1519 Authors
- 27 Aug 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Integrated Variational Fourier Features for Fast Spatial Modelling with Gaussian Processes
Talay M Cheema, Carl Edward Rasmussen
- Published: 22 Apr 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment
Hanze Dong, Wei Xiong, Deepanshu Goyal, Yihan Zhang, Winnie Chow, Rui Pan, Shizhe Diao, Jipeng Zhang, KaShun SHUM, Tong Zhang
- Published: 23 Nov 2023, Last Modified: 09 May 2025
- Accepted by TMLR
- Readers: Everyone
Universal Graph Continual Learning
Thanh Duc Hoang, Do Viet Tung, Duy-Hung Nguyen, Bao-Sinh Nguyen, Huy Hoang Nguyen, Hung Le
- Published: 27 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
U-Turn Diffusion
TMLR Paper1514 Authors
- 26 Aug 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Neighborhood Gradient Mean: An Efficient Decentralized Learning Method for Non-IID Data
Sai Aparna Aketi, Sangamesh Kodge, Kaushik Roy
- Published: 31 Oct 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Proximal Mean Field Learning in Shallow Neural Networks
Alexis Teter, Iman Nodozi, Abhishek Halder
- Published: 07 Jan 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Multi-Horizon Representations with Hierarchical Forward Models for Reinforcement Learning
Trevor McInroe, Lukas Schäfer, Stefano V Albrecht
- Published: 16 Jan 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Fair Evaluation of Graph Markov Neural Networks
TMLR Paper1510 Authors
- 25 Aug 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Early Stopping for Deep Image Prior
Hengkang Wang, Taihui Li, Zhong Zhuang, Tiancong Chen, Hengyue Liang, Ju Sun
- Published: 11 Dec 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
On the Dual Problem of Convexified Convolutional Neural Networks
Site Bai, Chuyang Ke, Jean Honorio
- Published: 18 Feb 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Implicit Regularization of Bregman Proximal Point Algorithm and Mirror Descent on Separable Data
TMLR Paper1507 Authors
- 25 Aug 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Provable Guarantees for Sparsity Recovery with Deterministic Missing Data Patterns
Chuyang Ke, Jean Honorio
- Published: 13 Feb 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Unifying Generative Models with GFlowNets and Beyond
TMLR Paper1505 Authors
- 25 Aug 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
The (Un)Scalability of Informed Heuristic Function Estimation in NP-Hard Search Problems
Sumedh Pendurkar, Taoan Huang, Brendan Juba, Jiapeng Zhang, Sven Koenig, Guni Sharon
- Published: 19 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Do we need to estimate the variance in robust mean estimation?
TMLR Paper1503 Authors
- 24 Aug 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Exact Inference with Latent Variables in an Arbitrary Domain
TMLR Paper1502 Authors
- 24 Aug 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages
Jay Gala, Pranjal A Chitale, A K Raghavan, Varun Gumma, Sumanth Doddapaneni, Aswanth Kumar M, Janki Atul Nawale, Anupama Sujatha, Ratish Puduppully, Vivek Raghavan, Pratyush Kumar, Mitesh M Khapra, Raj Dabre, Anoop Kunchukuttan
- Published: 20 Dec 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone