TMLR Submissions

Computationally-efficient initialisation of GPs: The generalised variogram method
Felipe Tobar, Elsa Cazelles, Taco de Wolff
- Published: 05 May 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Signed Graph Neural Networks: A Frequency Perspective
Rahul Singh, Yongxin Chen
- Published: 13 Feb 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
MACRPO: Multi-Agent Cooperative Recurrent Policy Optimization
TMLR Paper480 Authors
- 05 Oct 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Fusion of Global and Local Knowledge for Personalized Federated Learning
Tiansheng Huang, Li Shen, Yan Sun, Weiwei Lin, Dacheng Tao
- Published: 11 Mar 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
OpenCon: Open-world Contrastive Learning
Yiyou Sun, Yixuan Li
- Published: 04 Jan 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Unsupervised Mismatch Localization in Cross-Modal Sequential Data with Application to Mispronunciations Localization
Wei Wei, Hengguan Huang, Xiangming Gu, Hao Wang, Ye Wang
- Published: 15 Dec 2022, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Improved Differentially Private Riemannian Optimization: Fast Sampling and Variance Reduction
Saiteja Utpala, Andi Han, Pratik Jawanpuria, Bamdev Mishra
- Published: 21 Feb 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Multiscale Non-stationary Causal Structure Learning from Time Series Data
TMLR Paper474 Authors
- 04 Oct 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Communication-Efficient Distributionally Robust Decentralized Learning
Matteo Zecchin, Marios Kountouris, David Gesbert
- Published: 05 Jan 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Online Unsupervised Learning of Visual Representations and Categories
TMLR Paper472 Authors
- 02 Oct 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Spectral Regularization Allows Data-frugal Learning over Combinatorial Spaces
Amirali Aghazadeh, Nived Rajaraman, Tony Tu, Kannan Ramchandran
- Published: 09 May 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Robust Hybrid Learning With Expert Augmentation
Antoine Wehenkel, Jens Behrmann, Hsiang Hsu, Guillermo Sapiro, Gilles Louppe, Joern-Henrik Jacobsen
- Published: 22 Feb 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Numerical Accounting in the Shuffle Model of Differential Privacy
Antti Koskela, Mikko A. Heikkilä, Antti Honkela
- Published: 07 Mar 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Accelerated Quality-Diversity through Massive Parallelism
Bryan Lim, Maxime Allard, Luca Grillotti, Antoine Cully
- Published: 30 Jan 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Unsupervised Network Embedding Beyond Homophily
Zhiqiang Zhong, Guadalupe Gonzalez, Daniele Grattarola, Jun Pang
- Published: 22 Dec 2022, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
On the infinite-depth limit of finite-width neural networks
Soufiane Hayou
- Published: 11 Jan 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Linking Neural Collapse and L2 Normalization with Improved Out-of-Distribution Detection in Deep Neural Networks
Jarrod Haas, William Yolland, Bernhard T Rabus
- Published: 04 Jan 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Are Vision Transformers Robust to Spurious Correlations?
TMLR Paper464 Authors
- 27 Sept 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Supervised Feature Selection with Neuron Evolution in Sparse Neural Networks
Zahra Atashgahi, Xuhao Zhang, Neil Kichler, Shiwei Liu, Lu Yin, Mykola Pechenizkiy, Raymond Veldhuis, Decebal Constantin Mocanu
- Published: 06 Feb 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
AI-SARAH: Adaptive and Implicit Stochastic Recursive Gradient Methods
Zheng Shi, Abdurakhmon Sadiev, Nicolas Loizou, Peter Richtárik, Martin Takáč
- Published: 27 Feb 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Lazy vs hasty: linearization in deep networks impacts learning schedule based on example difficulty
Thomas George, Guillaume Lajoie, Aristide Baratin
- Published: 21 Dec 2022, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Controlling Confusion via Generalisation Bounds
TMLR Paper460 Authors
- 26 Sept 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone
Layerwise Bregman Representation Learning of Neural Networks with Applications to Knowledge Distillation
Ehsan Amid, Rohan Anil, Christopher Fifty, Manfred K Warmuth
- Published: 20 Feb 2023, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
On Characterizing the Trade-off in Invariant Representation Learning
Bashir Sadeghi, Sepehr Dehdashtian, Vishnu Boddeti
- Published: 22 Dec 2022, Last Modified: 17 Sept 2024
- Accepted by TMLR
- Readers: Everyone
Diverse Counterfactual Explanations for Anomaly Detection in Time Series
TMLR Paper457 Authors
- 23 Sept 2022 (modified: 17 Sept 2024)
- Rejected by TMLR
- Readers: Everyone