TMLR

The Fair Value of Data Under Heterogeneous Privacy Constraints in Federated Learning

Justin Kang, Ramtin Pedarsani, Kannan Ramchandran

Comments 29 pages, 5 figures, Accepted to TMLR

Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration

Mauricio Delbracio, Peyman Milanfar

Journal ref Transactions on Machine Learning Research (TMLR), 2023

RCT Rejection Sampling for Causal Estimation Evaluation

Katherine A. Keith, Sergey Feldman, David Jurgens, Jonathan Bragg, Rohit Bhattacharya

Comments Code and data at https://github.com/kakeith/rct_rejection_sampling

Journal ref Transactions on Machine Learning Research (TMLR) 2023

Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal Encoder

Zheyuan Liu, Weixuan Sun, Damien Teney, Stephen Gould

Comments Accepted at TMLR, 19 pages, 8 figures

Multi-Horizon Representations with Hierarchical Forward Models for Reinforcement Learning

Trevor McInroe, Lukas Schäfer, Stefano V. Albrecht

Comments Published in TMLR

Unleashing the Potential of Acquisition Functions in High-Dimensional Bayesian Optimization

Jiayu Zhao, Renyu Yang, Shenghao Qiu, Zheng Wang

Comments Accepted by Transactions on Machine Learning Research (TMLR)

Understanding Self-Supervised Pretraining with Part-Aware Representation Learning

Jie Zhu, Jiyang Qi, Mingyu Ding, Xiaokang Chen, Ping Luo, Xinggang Wang, Wenyu Liu, Leye Wang, Jingdong Wang

Comments Accepted by TMLR

Empowering GNNs via Edge-Aware Weisfeiler-Leman Algorithm

Meng Liu, Haiyang Yu, Shuiwang Ji

Comments Accepted to Transactions on Machine Learning Research (TMLR)

Personalized Algorithmic Recourse with Preference Elicitation

Giovanni De Toni, Paolo Viappiani, Stefano Teso, Bruno Lepri, Andrea Passerini

Comments Published in Transactions in Machine Learning Research (TMLR), January 2024. See https://openreview.net/forum?id=8sg2I9zXgO for the official submission

Latent State Models of Training Dynamics

Michael Y. Hu, Angelica Chen, Naomi Saphra, Kyunghyun Cho

Comments Accepted at TMLR 2023. Updated Jan 19, 2024 with erratum

Budgeted Online Model Selection and Fine-Tuning via Federated Learning

Pouya M. Ghari, Yanning Shen

Comments Accepted by Transactions on Machine Learning Research (TMLR)

Prismer: A Vision-Language Model with Multi-Task Experts

Shikun Liu, Linxi Fan, Edward Johns, Zhiding Yu, Chaowei Xiao, Anima Anandkumar

Comments Published at TMLR 2024. Project Page: https://shikun.io/projects/prismer Code: https://github.com/NVlabs/prismer

On the Adversarial Robustness of Camera-based 3D Object Detection

Shaoyuan Xie, Zichao Li, Zeyu Wang, Cihang Xie

Comments Transactions on Machine Learning Research, 2024. ISSN 2835-8856

Are you using test log-likelihood correctly?

Sameer K. Deshpande, Soumya Ghosh, Tin D. Nguyen, Tamara Broderick

Comments Presented at the ICBINB Workshop at NeurIPS 2022. This version accepted at TMLR, available at https://openreview.net/forum?id=n2YifD4Dxo

FREED++: Improving RL Agents for Fragment-Based Molecule Generation by Thorough Reproduction

Alexander Telepov, Artem Tsypin, Kuzma Khrabrov, Sergey Yakukhnov, Pavel Strashnov, Petr Zhilyaev, Egor Rumiantsev, Daniel Ezhov, Manvel Avetisian, Olga Popova, Artur Kadurin

Comments 37 pages, 10 figures, to be published in TMLR journal (https://www.jmlr.org/tmlr/)

Semantic similarity prediction is better than other semantic similarity measures

Steffen Herbold

Comments Accepted at TMLR: https://openreview.net/forum?id=bfsNmgN5je

Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex Hulls

Saurav Prakash, Jin Sima, Chao Pan, Eli Chien, Olgica Milenkovic

Comments Published in the Transactions on Machine Learning Research (TMLR). Link: https://openreview.net/forum?id=umggDfMHha

A Globally Convergent Algorithm for Neural Network Parameter Optimization Based on Difference-of-Convex Functions

Daniel Tschernutter, Mathias Kraus, Stefan Feuerriegel

Comments accepted by TMLR

Neural Task Synthesis for Visual Programming

Victor-Alexandru Pădurean, Georgios Tzannetos, Adish Singla

Comments Published in Transactions on Machine Learning Research (TMLR) 2024

A general framework for formulating structured variable selection

Guanbo Wang, Mireille E. Schnitzer, Tom Chen, Rui Wang, Robert W. Platt

Comments 14 pages

Journal ref Transactions on Machine Learning Research (2024/01)

Inducing Meaningful Units from Character Sequences with Dynamic Capacity Slot Attention

Melika Behjati, James Henderson

Comments Accepted to TMLR 2023

Spiking Synaptic Penalty: Appropriate Penalty Term for Energy-Efficient Spiking Neural Networks

Kazuma Suetake, Takuya Ushimaru, Ryuji Saiin, Yoshihide Sawada

Comments 19 pages, 5 figures

Journal ref Transactions on Machine Learning Research (2024)

AdaFed: Fair Federated Learning via Adaptive Common Descent Direction

Shayan Mohajer Hamidi, En-Hui Yang

Comments This paper has been accepted in Transactions on Machine Learning Research. This is the link to the paper: https://openreview.net/forum?id=rFecyFpFUp&referrer=%5Bthe%20profile%20of%20Shayan%20Mohajer%20Hamidi%5D(%2Fprofile%3Fid%3D~Shayan_Mohajer_Hamidi1)

MERMAIDE: Learning to Align Learners using Model-Based Meta-Learning

Arundhati Banerjee, Soham Phade, Stefano Ermon, Stephan Zheng

Comments Published in TMLR

Pathologies of Predictive Diversity in Deep Ensembles

Taiga Abe, E. Kelly Buchanan, Geoff Pleiss, John P. Cunningham

Comments now published in Transactions on Machine Learning Research

Variational Classification

Shehzaad Dhuliawala, Mrinmaya Sachan, Carl Allen

Comments Accepted to TMLR: https://openreview.net/forum?id=EWv9XGOpB3

DyG2Vec: Efficient Representation Learning for Dynamic Graphs

Mohammad Ali Alomrani, Mahdi Biparva, Yingxue Zhang, Mark Coates

Comments Transactions on Machine Learning Research, 2023

Bridging the Gap Between Target Networks and Functional Regularization

Alexandre Piche, Valentin Thomas, Joseph Marino, Rafael Pardinas, Gian Maria Marconi, Christopher Pal, Mohammad Emtiyaz Khan

Comments The published version of this paper (TMLR 2023) is available at arXiv:2106.02613 and https://openreview.net/forum?id=BFvoemrmqX

Differentially Private Diffusion Models

Tim Dockhorn, Tianshi Cao, Arash Vahdat, Karsten Kreis

Comments Accepted at TMLR (https://openreview.net/forum?id=ZPpQk7FJXF)

Fast Slate Policy Optimization: Going Beyond Plackett-Luce

Otmane Sakhi, David Rohde, Nicolas Chopin

Comments Transactions on Machine Learning Research