TMLR Submissions

The Sparse Matrix-Based Random Projection: An Analysis of Matrix Sparsity for Classification
TMLR Paper2288 Authors
- 24 Feb 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Augment then Smooth: Reconciling Differential Privacy with Certified Robustness
Jiapeng Wu, Atiyeh Ashari Ghomi, David Glukhov, Jesse C. Cresswell, Franziska Boenisch, Nicolas Papernot
- Published: 20 Jul 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Exploring Explicit Representations in 4D: A Comparative Analysis with HexPlane
TMLR Paper2286 Authors
- 23 Feb 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Learning the essential in less than 2k additional weights - a simple approach to improve image classification stability under corruptions
Kai Bäuerle, Patrick Müller, Syed Muhammad Kazim, Ivo Ihrke, Margret Keuper
- Published: 21 Jun 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Skill Reinforcement Learning and Planning for Open-World Long-Horizon Tasks
TMLR Paper2284 Authors
- 23 Feb 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Systematic Exploration and Exploitation via a Markov Game with Impulse Control
TMLR Paper2283 Authors
- 22 Feb 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Improving Variational Autoencoder Estimation from Incomplete Data with Mixture Variational Families
Vaidotas Simkus, Michael U. Gutmann
- Published: 28 Jun 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Homogenizing Non-IID Datasets via In-Distribution Knowledge Distillation for Decentralized Learning
Deepak Ravikumar, Gobinda Saha, Sai Aparna Aketi, Kaushik Roy
- Published: 11 Jul 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
On the numerical reliability of nonsmooth autodiff: a MaxPool case study
Ryan Boustany
- Published: 19 Jun 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Archetypal Analysis++: Rethinking the Initialization Strategy
Sebastian Mair, Jens Sjölund
- Published: 08 May 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Selective Pre-training for Private Fine-tuning
Da Yu, Sivakanth Gopi, Janardhan Kulkarni, Zinan Lin, Saurabh Naik, Tomasz Lukasz Religa, Jian Yin, Huishuai Zhang
- Published: 24 Jun 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
On Exact Solutions of the Inner Optimization Problem of Adversarial Robustness
TMLR Paper2277 Authors
- 22 Feb 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Improve Certified Training with Signal-to-Noise Ratio Loss to Decrease Neuron Variance and Increase Neuron Stability
Tianhao Wei, Ziwei Wang, Peizhi Niu, ABULIKEMU ABUDUWEILI, Weiye Zhao, Casidhe Hutchison, Eric Sample, Changliu Liu
- Published: 27 May 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Independence Testing for Temporal Data
Cencheng Shen, Jaewon Chung, Ronak Mehta, Ting Xu, Joshua T Vogelstein
- Published: 28 May 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
NgIohTuned, a new Black-Box Optimization Wizard for Real World Machine Learning
TMLR Paper2274 Authors
- 21 Feb 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Large Language Models (LLMs) on Tabular Data: Prediction, Generation, and Understanding - A Survey
Xi Fang, Weijie Xu, Fiona Anting Tan, Ziqing Hu, Jiani Zhang, Yanjun Qi, Srinivasan H. Sengamedu, Christos Faloutsos
- Published: 23 Jun 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Federated Learning with Convex Global and Local Constraints
Chuan He, Le Peng, Ju Sun
- Published: 03 May 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Deep End-to-end Causal Inference
Tomas Geffner, Javier Antoran, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman, Amit Sharma, Angus Lamb, Martin Kukla, Nick Pawlowski, Agrin Hilmkil, Joel Jennings, Meyer Scetbon, Miltiadis Allamanis, Cheng Zhang
- Published: 17 Jun 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Certified Deductive Reasoning with Language Models
Gabriel Poesia, Kanishk Gandhi, Eric Zelikman, Noah Goodman
- Published: 29 May 2024, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
SwinGNN: Rethinking Permutation Invariance in Diffusion Models for Graph Generation
Qi Yan, Zhengyang Liang, Yang Song, Renjie Liao, Lele Wang
- Published: 19 Jun 2024, Last Modified: 29 Nov 2024
- Accepted by TMLR
- Readers: Everyone
Bayesian Optimization for minimizing CVaR under performance constraints
TMLR Paper2268 Authors
- 19 Feb 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
A Primal-Dual Approach to Bilevel Optimization with Multiple Inner Minima
TMLR Paper2267 Authors
- 19 Feb 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Particle-based Online Bayesian Sampling
TMLR Paper2266 Authors
- 19 Feb 2024 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Adversarial Attacks on Online Learning to Rank with Stochastic Click Models
Zichen Wang, Rishab Balasubramanian, Hui Yuan, chenyu song, Mengdi Wang, Huazheng Wang
- Published: 25 Sept 2024, Last Modified: 25 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Reward-based Autonomous Online Learning Framework for Resilient Cooperative Target Monitoring using a Swarm of Robots
Shubhankar Gupta, Saksham Sharma, Suresh Sundaram
- Published: 01 Jan 2025, Last Modified: 01 Jan 2025
- Accepted by TMLR
- Readers: Everyone