TMLR Submissions

Bayesian Optimization on the Cartesian Product of Weighted Graphs to Better Search Discrete Spaces with Irregular Increments
TMLR Paper1206 Authors
- 30 May 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Understanding convolution on graphs via energies
Francesco Di Giovanni, James Rowbottom, Benjamin Paul Chamberlain, Thomas Markovich, Michael M. Bronstein
- Published: 23 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Achieving Risk Control in Online Learning Settings
Shai Feldman, Liran Ringel, Stephen Bates, Yaniv Romano
- Published: 05 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Robust Learning Rate Selection for Stochastic Optimization via Splitting Diagnostic
Matteo Sordello, Niccolo Dalmasso, Hangfeng He, Weijie J Su
- Published: 17 Feb 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
On the special role of class-selective neurons in early training
Omkar Ranadive, Nikhil Thakurdesai, Ari S. Morcos, Matthew L Leavitt, Stephane Deny
- Published: 08 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Global Contrastive Learning for Long-Tailed Classification
Thong Bach, Anh Tong, Truong Son Hy, Vu Nguyen, Thanh Nguyen-Tang
- Published: 15 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Long-term Forecasting with TiDE: Time-series Dense Encoder
Abhimanyu Das, Weihao Kong, Andrew Leach, Shaan K Mathur, Rajat Sen, Rose Yu
- Published: 11 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
A Multilinear Least-Squares Formulation for Sparse Tensor Canonical Correlation Analysis
Jun Yu, Zhaoming Kong, Kun Chen, Xin Zhang, Yong Chen, Lifang He
- Published: 02 Feb 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Worst-case Feature Risk Minimization for Data-Efficient Learning
Jingshi Lei, Da Li, Chengming Xu, Liming Fang, Timothy Hospedales, Yanwei Fu
- Published: 26 Oct 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
On Adaptivity in Quantum Testing
Omar Fawzi, Nicolas Flammarion, Aurélien Garivier, Aadil Oufkir
- Published: 01 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Meta-Learning an Approximate Inference Algorithm for Low- Level Probabilistic Programs
TMLR Paper1196 Authors
- 26 May 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Vulnerability-Aware Instance Reweighting For Adversarial Training
Olukorede Fakorede, Ashutosh Kumar Nirala, Modeste Atsague, Jin Tian
- Published: 20 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
VoLTA: Vision-Language Transformer with Weakly-Supervised Local-Feature Alignment
Shraman Pramanick, Li Jing, Sayan Nag, Jiachen Zhu, Hardik J Shah, Yann LeCun, Rama Chellappa
- Published: 25 Oct 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Asymptotic Analysis of Conditioned Stochastic Gradient Descent
Rémi Leluc, François Portier
- Published: 16 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Stochastic Mirror Descent: Convergence Analysis and Adaptive Variants via the Mirror Stochastic Polyak Stepsize
Ryan D'Orazio, Nicolas Loizou, Issam H. Laradji, Ioannis Mitliagkas
- Published: 08 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Lattice Convolutional Networks for Learning Ground States of Quantum Many-Body Systems
TMLR Paper1191 Authors
- 24 May 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
ContraSim – Analyzing Neural Representations Based on Contrastive Learning
TMLR Paper1190 Authors
- 24 May 2023 (modified: 17 Sept 2024)
- Withdrawn by Authors
- Readers: Everyone
Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error
Ondrej Bohdal, Yongxin Yang, Timothy Hospedales
- Published: 24 Aug 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Self-Supervision is All You Need for Solving Rubik’s Cube
Kyo Takano
- Published: 25 Jul 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Online model selection by learning how compositional kernels evolve
Eura Shin, Predrag Klasnja, Susan Murphy, Finale Doshi-Velez
- Published: 09 Nov 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Unlock the Black Box by Interpreting Graph Convolutional Networks via Additive Decomposition
TMLR Paper1186 Authors
- 23 May 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Dual Cognitive Architecture: Incorporating Biases and Multi-Memory Systems for Lifelong Learning
Shruthi Gowda, Bahram Zonooz, Elahe Arani
- Published: 13 Oct 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Straggler-Resilient Personalized Federated Learning
Isidoros Tziotis, Zebang Shen, Ramtin Pedarsani, Hamed Hassani, Aryan Mokhtari
- Published: 15 Oct 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
On Convergence of Federated Averaging Langevin Dynamics
TMLR Paper1183 Authors
- 22 May 2023 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Benchmarking Continuous Time Models for Predicting Multiple Sclerosis Progression
Alexander Luke Ian Norcliffe, Lev Proleev, Diana Mincu, F Lee Hartsell, Katherine A Heller, Subhrajit Roy
- Published: 10 Sept 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone