TMLR

Learning Multiscale Non-stationary Causal Structures

Gabriele D'Acunto, Gianmarco De Francisci Morales, Paolo Bajardi, Francesco Bonchi

Journal ref Transactions on Machine Learning Research, 2023, ISSN 2835-8856

Provably Safe Reinforcement Learning: Conceptual Analysis, Survey, and Benchmarking

Hanna Krasowski, Jakob Thumm, Marlon Müller, Lukas Schäfer, Xiao Wang, Matthias Althoff

Comments The published paper is available at https://openreview.net/forum?id=mcN0ezbnzO

Journal ref Transactions on Machine Learning Research, 2023

Concave Utility Reinforcement Learning with Zero-Constraint Violations

Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal

Comments Transactions on Machine Learning Research, Dec 2022

Journal ref Transactions on Machine Learning Research, Dec 2022

An Analysis of Model-Based Reinforcement Learning From Abstracted Observations

Rolf A. N. Starre, Marco Loog, Elena Congeduti, Frans A. Oliehoek

Comments 36 pages, 2 figures, published in Transactions on Machine Learning Research (TMLR) 2023

Using Representation Expressiveness and Learnability to Evaluate Self-Supervised Learning Methods

Yuchen Lu, Zhen Liu, Aristide Baratin, Romain Laroche, Aaron Courville, Alessandro Sordoni

Journal ref TMLR 2023 -- Transactions of Machine Learning Research, 11/2023

Analyzing Transformer Dynamics as Movement through Embedding Space

Sumeet S. Singh

Comments V2. Rewrote abstract. Rewrote / re-organized the entire paper into a more formal proposition/argument/result format. To shorten main paper length: Wrote more compact text in general, moved "negative self bias" and "encoder v/s decoder walks" sections to the appendix and packed figures. Styled as TMLR

Visualizing the Diversity of Representations Learned by Bayesian Neural Networks

Dennis Grinwald, Kirill Bykov, Shinichi Nakajima, Marina M. -C. Höhne

Comments 16 pages, 18 figures

Journal ref Published in Transactions on Machine Learning Research (11/2023)

RLTF: Reinforcement Learning from Unit Test Feedback

Jiate Liu, Yiqin Zhu, Kaiwen Xiao, Qiang Fu, Xiao Han, Wei Yang, Deheng Ye

Comments Accepted by TMLR

Conditional Sampling of Variational Autoencoders via Iterated Approximate Ancestral Sampling

Vaidotas Simkus, Michael U. Gutmann

Comments Published in Transactions on Machine Learning Research (TMLR), 2023

How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?

Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön

Comments TMLR, 2023. Code is available at https://github.com/fregu856/regression_uncertainty

Generalizability of Adversarial Robustness Under Distribution Shifts

Kumail Alhamoud, Hasan Abed Al Kader Hammoud, Motasem Alfarra, Bernard Ghanem

Comments TMLR 2023 (Featured Certification)

Tight conditions for when the NTK approximation is valid

Enric Boix-Adsera, Etai Littwin

Comments Accepted to TMLR. Added proof flowchart

Fast Kernel Methods for Generic Lipschitz Losses via $p$-Sparsified Sketches

Tamim El Ahmad, Pierre Laforgue, Florence d'Alché-Buc

Journal ref Transactions on Machine Learning Research (2023)

Improved baselines for vision-language pre-training

Enrico Fini, Pietro Astolfi, Adriana Romero-Soriano, Jakob Verbeek, Michal Drozdzal

Comments TMLR, featured certification; changelog at https://openreview.net/forum?id=a7nvXxNmdV

Journal ref Transactions on Machine Learning Research, 10/2023, issn 2835-8856

Feature-Attending Recurrent Modules for Generalization in Reinforcement Learning

Wilka Carvalho, Andrew Lampinen, Kyriacos Nikiforou, Felix Hill, Murray Shanahan

Comments TMLR, 2023

SIESTA: Efficient Online Continual Learning with Sleep

Md Yousuf Harun, Jhair Gallardo, Tyler L. Hayes, Ronald Kemker, Christopher Kanan

Comments Accepted to TMLR 2023

Releasing Graph Neural Networks with Differential Privacy Guarantees

Iyiola E. Olatunji, Thorben Funke, Megha Khosla

Comments Published in TMLR 2023

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

Fixed-Budget Best-Arm Identification in Sparse Linear Bandits

Recep Can Yavas, Vincent Y. F. Tan

Comments 28 pages, Submitted to TMLR

Population-based Evaluation in Repeated Rock-Paper-Scissors as a Benchmark for Multiagent Reinforcement Learning

Marc Lanctot, John Schultz, Neil Burch, Max Olan Smith, Daniel Hennes, Thomas Anthony, Julien Perolat

Comments 25 pages, 8 figures, Accepted at TMLR October 2023

A Kernel Perspective on Behavioural Metrics for Markov Decision Processes

Pablo Samuel Castro, Tyler Kastner, Prakash Panangaden, Mark Rowland

Comments Published in TMLR

VoLTA: Vision-Language Transformer with Weakly-Supervised Local-Feature Alignment

Shraman Pramanick, Li Jing, Sayan Nag, Jiachen Zhu, Hardik Shah, Yann LeCun, Rama Chellappa

Comments Published in TMLR 2023

Towards Better Generalization with Flexible Representation of Multi-Module Graph Neural Networks

Hyungeun Lee, Kijung Yoon

Journal ref Transactions on Machine Learning Research (TMLR) 2023

Local Advantage Networks for Cooperative Multi-Agent Reinforcement Learning

Raphaël Avalos, Mathieu Reymond, Ann Nowé, Diederik M. Roijers

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

Journal ref Transactions on Machine Learning Research - October 2023

Lottery Aware Sparsity Hunting: Enabling Federated Learning on Resource-Limited Edge

Sara Babakniya, Souvik Kundu, Saurav Prakash, Yue Niu, Salman Avestimehr

Comments Accepted in TMLR, https://openreview.net/forum?id=iHyhdpsnyi

Multi-annotator Deep Learning: A Probabilistic Framework for Classification

Marek Herde, Denis Huseljic, Bernhard Sick

Comments Transactions on Machine Learning Research, see https://openreview.net/forum?id=MgdoxzImlK

Journal ref Transactions on Machine Learning Research, 2023

Policy Gradient Algorithms Implicitly Optimize by Continuation

Adrien Bolland, Gilles Louppe, Damien Ernst

Comments In Transactions on Machine Learning Research (2023)

Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks

Wenhu Chen, Xueguang Ma, Xinyi Wang, William W. Cohen

Comments Published at TMLR 2023

Discretization Invariant Networks for Learning Maps between Neural Fields

Clinton J. Wang, Polina Golland

Comments Published in Transactions on Machine Learning Research 2023

The Kernel Density Integral Transformation

Calvin McCarter

Comments Published in Transactions on Machine Learning Research (10/2023)

Euclidean-Norm-Induced Schatten-p Quasi-Norm Regularization for Low-Rank Tensor Completion and Tensor Robust Principal Component Analysis

Jicong Fan, Lijun Ding, Chengrun Yang, Zhao Zhang, Madeleine Udell

Comments Published by Transactions on Machine Learning Research, January 2023; https://openreview.net/forum?id=Grhi800jVz

Journal ref Transactions on Machine Learning Research, January 2023