TMLR Submissions

Error bounds and dynamics of bootstrapping in actor-critic reinforcement learning
Ahmed J Zerouali, Douglas Blair Tweed
- Published: 14 Dec 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Distributed Architecture Search Over Heterogeneous Distributions
Erum Mushtaq, Chaoyang He, Jie Ding, Salman Avestimehr
- Published: 21 Dec 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
SANTA: Source Anchoring Network and Target Alignment for Continual Test Time Adaptation
Goirik Chakrabarty, Manogna Sreenivas, Soma Biswas
- Published: 22 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Rewiring with Positional Encodings for Graph Neural Networks
Rickard Brüel Gabrielsson, Mikhail Yurochkin, Justin Solomon
- Published: 08 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval
TMLR Paper1428 Authors
- 31 Jul 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Dynamic Window-level Granger Causality of Multi-channel Time Series
TMLR Paper1427 Authors
- 30 Jul 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Variational Classification: A Probabilistic Generalization of the Softmax Classifier
Shehzaad Zuzar Dhuliawala, Mrinmaya Sachan, Carl Allen
- Published: 03 Jan 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Nonlinear Feature Aggregation: Two Algorithms driven by Theory
TMLR Paper1425 Authors
- 29 Jul 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Synthetic Data from Diffusion Models Improves ImageNet Classification
Shekoofeh Azizi, Simon Kornblith, Chitwan Saharia, Mohammad Norouzi, David J. Fleet
- Published: 02 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
RCT Rejection Sampling for Causal Estimation Evaluation
Katherine A. Keith, Sergey Feldman, David Jurgens, Jonathan Bragg, Rohit Bhattacharya
- Published: 29 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Size Lowerbounds for Deep Operator Networks
Anirbit Mukherjee, Amartya Roy
- Published: 01 Feb 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Complementary Sparsity: Accelerating Sparse CNNs with High Accuracy on General-Purpose Computing Platforms
Kang Zhao, Yijun Tan, Kai Han, Ting Hu, Hanting Chen, Tao Yuan, Yunhe Wang, Jun Yao
- Published: 02 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
A Survey on Graph Construction for Geometric Deep Learning in Medicine: Methods and Recommendations
Tamara T. Müller, Sophie Starck, Alina Dima, Stephan Wunderlich, Kyriaki-Margarita Bintsi, Kamilia Zaripova, Rickmer Braren, Daniel Rueckert, Anees Kazi, Georgios Kaissis
- Published: 24 Jan 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
StarCoder: may the source be with you!
Raymond Li, Loubna Ben allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia LI, Jenny Chim, Qian Liu, Evgenii Zheltonozhskii, Terry Yue Zhuo, Thomas Wang, Olivier Dehaene, Joel Lamy-Poirier, Joao Monteiro, Nicolas Gontier, Ming-Ho Yee, Logesh Kumar Umapathi et al. (38 additional authors not shown)
- Published: 17 Dec 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Detecting danger in gridworlds using Gromov’s Link Condition
Thomas F Burns, Robert Tang
- Published: 06 Dec 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
The Fair Value of Data Under Heterogeneous Privacy Constraints in Federated Learning
Justin Singh Kang, Ramtin Pedarsani, Kannan Ramchandran
- Published: 08 Feb 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Online Reference Tracking For Linear Systems with Unknown Dynamics and Unknown Disturbances
Nariman Niknejad, Farnaz Adib Yaghmaie, Hamidreza Modares
- Published: 12 Jan 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Model Selection of Discrete Classifiers under Class and Cost Distribution Change: An Empirical Study
TMLR Paper1413 Authors
- 24 Jul 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
An Empirical Study of Focus Identification in Large Language Models with Modal Contexts
TMLR Paper1412 Authors
- 24 Jul 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Ensemble learning for Physics Informed Neural Networks: a Gradient Boosting approach
TMLR Paper1411 Authors
- 23 Jul 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
AdaFed: Fair Federated Learning via Adaptive Common Descent Direction
Shayan Mohajer Hamidi, EN-HUI YANG
- Published: 22 Jan 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Lightweight Vision Transformer Course-to-Fine Search via Latency Profiling
TMLR Paper1409 Authors
- 23 Jul 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Data-Free Diversity-Based Ensemble Selection for One-Shot Federated Learning
Naibo Wang, Wenjie Feng, yuchen deng, Moming Duan, Fusheng Liu, See-Kiong Ng
- Published: 27 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Probabilistic Forecasting with Coherent Aggregation
TMLR Paper1407 Authors
- 22 Jul 2023 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
Convergence of SGD for Training Neural Networks with Sliced Wasserstein Losses
Eloi Tanguy
- Published: 30 Oct 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone