TMLR

Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images

Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Klaus-Robert Müller, Marius Kloft

Comments 47 pages; extended experiments; published in Transactions on Machine Learning Research. arXiv admin note: substantial text overlap with arXiv:2006.00339

VN-Transformer: Rotation-Equivariant Attention for Vector Neurons

Serge Assaad, Carlton Downey, Rami Al-Rfou, Nigamaa Nayakanti, Ben Sapp

Comments Published in Transactions on Machine Learning Research (TMLR), 2023; Previous version appeared in Workshop on Machine Learning for Autonomous Driving, Conference on Neural Information Processing Systems (NeurIPS), 2022

Optimizing Intermediate Representations of Generative Models for Phase Retrieval

Tobias Uelwer, Sebastian Konietzny, Stefan Harmeling

Comments Published in Transactions on Machine Learning Research (TMLR). First two authors contributed equally

Named Tensor Notation

David Chiang, Alexander M. Rush, Boaz Barak

Journal ref TMLR, January 2023

On Pseudo-Labeling for Class-Mismatch Semi-Supervised Learning

Lu Han, Han-Jia Ye, De-Chuan Zhan

Comments Accepted to TMLR 2022

A Ranking Game for Imitation Learning

Harshit Sikchi, Akanksha Saran, Wonjoon Goo, Scott Niekum

Comments Published in Transactions on Machine Learning Research 2023. 38 pages

FedDAG: Federated DAG Structure Learning

Erdun Gao, Junjia Chen, Li Shen, Tongliang Liu, Mingming Gong, Howard Bondell

Comments Accepted to Transactions on Machine Learning Research

Communication-Efficient Distributionally Robust Decentralized Learning

Matteo Zecchin, Marios Kountouris, David Gesbert

Comments Published in Transactions on Machine Learning Research (TMLR)

A Stochastic Optimization Framework for Fair Risk Minimization

Andrew Lowy, Sina Baharlouei, Rakesh Pavan, Meisam Razaviyayn, Ahmad Beirami

Comments 44 pages

Journal ref Transactions on Machine Learning Research, 2022

FLEA: Provably Robust Fair Multisource Learning from Unreliable Training Data

Eugenia Iofinova, Nikola Konstantinov, Christoph H. Lampert

Comments 10 pages in main text; 42 pages including bibliography and appendix. Published in Transactions of Machine Learning Research (TMLR), 2022, https://openreview.net/forum?id=XsPopigZX; project website at https://github.com/ISTAustria-CVML/FLEA

OpenCon: Open-world Contrastive Learning

Yiyou Sun, Yixuan Li

Comments Accepted at TMLR

GSR: A Generalized Symbolic Regression Approach

Tony Tohme, Dehong Liu, Kamal Youcef-Toumi

Comments Published in Transactions on Machine Learning Research (TMLR)

Benchmarks and Algorithms for Offline Preference-Based Reward Learning

Daniel Shin, Anca D. Dragan, Daniel S. Brown

Comments Transactions on Machine Learning Research. arXiv admin note: text overlap with arXiv:2107.09251

Distribution Embedding Networks for Generalization from a Diverse Set of Classification Tasks

Lang Liu, Mahdi Milani Fard, Sen Zhao

Comments This paper is accepted at TMLR https://openreview.net/forum?id=F2rG2CXsgO

Lookback for Learning to Branch

Prateek Gupta, Elias B. Khalil, Didier Chetélat, Maxime Gasse, Yoshua Bengio, Andrea Lodi, M. Pawan Kumar

Comments Published in Transactions on Machine Learning Research (TMLR)

Direct Molecular Conformation Generation

Jinhua Zhu, Yingce Xia, Chang Liu, Lijun Wu, Shufang Xie, Yusong Wang, Tong Wang, Tao Qin, Wengang Zhou, Houqiang Li, Haiguang Liu, Tie-Yan Liu

Comments Accepted to Transactions on Machine Learning Research (2022)

Domain-invariant Feature Exploration for Domain Generalization

Wang Lu, Jindong Wang, Haoliang Li, Yiqiang Chen, Xing Xie

Comments Accepted by Transactions on Machine Learning Research (TMLR) 2022; 20 pages; code: https://github.com/jindongwang/transferlearning/tree/master/code/DeepDG

Unsupervised Network Embedding Beyond Homophily

Zhiqiang Zhong, Guadalupe Gonzalez, Daniele Grattarola, Jun Pang

Comments Accepted to Transactions on Machine Learning Research

Collaborative Algorithms for Online Personalized Mean Estimation

Mahsa Asadi, Aurélien Bellet, Odalric-Ambrym Maillard, Marc Tommasi

Comments Accepted to Transactions on Machine Learning Research (TMLR)

Sample Complexity of Offline Reinforcement Learning with Deep ReLU Networks

Thanh Nguyen-Tang, Sunil Gupta, Hung Tran-The, Svetha Venkatesh

Comments https://openreview.net/forum?id=LdEm0umNcv

Journal ref Transactions on Machine Learning Research, 2022

Nonparametric Learning of Two-Layer ReLU Residual Units

Zhunxuan Wang, Linyun He, Chunchuan Lyu, Shay B. Cohen

Comments Published in Transactions on Machine Learning Research (11/2022), slightly typographically revised

Systematically and efficiently improving $k$-means initialization by pairwise-nearest-neighbor smoothing

Carlo Baldassi

Comments https://openreview.net/forum?id=FTtFAg3pek 16 pages (+8 appendix), 2 figures, 4 tables (+14 appendix). Transactions on Machine Learning Research, Dec 2022

COIN++: Neural Compression Across Modalities

Emilien Dupont, Hrushikesh Loya, Milad Alizadeh, Adam Goliński, Yee Whye Teh, Arnaud Doucet

Comments TMLR camera ready

Deep Learning for Bayesian Optimization of Scientific Problems with High-Dimensional Structure

Samuel Kim, Peter Y. Lu, Charlotte Loh, Jamie Smith, Jasper Snoek, Marin Soljačić

Comments 32 pages, 16 figures; published in TMLR

Journal ref Transactions on Machine Learning Research (TMLR) September 2022

A Trust Crisis In Simulation-Based Inference? Your Posterior Approximations Can Be Unfaithful

Joeri Hermans, Arnaud Delaunoy, François Rozet, Antoine Wehenkel, Volodimir Begy, Gilles Louppe

Comments TMLR version

Interpretable Node Representation with Attribute Decoding

Xiaohui Chen, Xi Chen, Liping Liu

Comments Accepted by Transactions on Machine Learning Research

A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges

Mohammadreza Salehi, Hossein Mirzaei, Dan Hendrycks, Yixuan Li, Mohammad Hossein Rohban, Mohammad Sabokrou

Comments Published in Transaction on Machine Learning (TMLR)

Birds of a Feather Trust Together: Knowing When to Trust a Classifier via Adaptive Neighborhood Aggregation

Miao Xiong, Shen Li, Wenjie Feng, Ailin Deng, Jihai Zhang, Bryan Hooi

Comments Published in Transactions on Machine Learning Research (TMLR) 2022

Journal ref Transactions on Machine Learning Research 08/2022

Diagnosing and Fixing Manifold Overfitting in Deep Generative Models

Gabriel Loaiza-Ganem, Brendan Leigh Ross, Jesse C. Cresswell, Anthony L. Caterini

Comments Accepted for publication in TMLR

DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents

Kushagra Pandey, Avideep Mukherjee, Piyush Rai, Abhishek Kumar

Comments 12 pages main content. Camera-Ready version accepted at Transactions on Machine Learning Research