ICML

A Neural RDE approach for continuous-time non-Markovian stochastic control problems

Melker Hoglund, Emilio Ferrucci, Camilo Hernandez, Aitor Muguruza Gonzalez, Cristopher Salvi, Leandro Sanchez-Betancourt, Yufei Zhang

Comments Accepted at ICML 2023, Workshop on New Frontiers in Learning, Control, and Dynamical Systems

Weisfeiler-Lehman Graph Kernel Method: A New Approach to Weak Chemical Tagging

Yuan-Sen Ting, Bhavesh Sharma

Comments 7 pages, 4 figures, accepted to the ICML 2023 Machine Learning for Astrophysics workshop

Pruning for Better Domain Generalizability

Xinglong Sun

Comments Accepted at ICML 2023 SCIS Workshop

Neural Astrophysical Wind Models

Dustin D. Nguyen

Comments 7 Pages, 4 Figures, Accepted at the ICML 2023 Workshop on Machine Learning for Astrophysics; v2) fixed typos

Finite-Sample Analysis of Learning High-Dimensional Single ReLU Neuron

Jingfeng Wu, Difan Zou, Zixiang Chen, Vladimir Braverman, Quanquan Gu, Sham M. Kakade

Comments ICML 2023 camera ready

K-SHAP: Policy Clustering Algorithm for Anonymous Multi-Agent State-Action Pairs

Andrea Coletta, Svitlana Vyetrenko, Tucker Balch

Comments ICML 2023

NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning

Jianfeng Wang, Xiaolin Hu, Thomas Lukasiewicz

Comments An extended version of our previous ICML 2022 paper arXiv:2207.01066 with more experiments

On Heterogeneous Treatment Effects in Heterogeneous Causal Graphs

Richard A Watson, Hengrui Cai, Xinming An, Samuel McLean, Rui Song

Comments In Proceedings of the 40th International Conference on Machine Learning (ICML) Code implementing the proposed algorithm is open-source and publicly available at: https://github.com/richard-watson/ISL

DMOps: Data Management Operation and Recipes

Eujeong Choi, Chanjun Park

Comments Accepted for Data-centric Machine Learning Research (DMLR) Workshop at ICML 2023

Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical Projections

Clément Bonet, Laetitia Chapel, Lucas Drumetz, Nicolas Courty

Comments Accepted at the TAG-ML 2023 ICML Workshop

RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank

Quentin Garrido, Randall Balestriero, Laurent Najman, Yann Lecun

Journal ref The Fortieth International Conference on Machine Learning, 2023, Honolulu, United States

Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy

Xiyao Wang, Wichayaporn Wongkamjan, Furong Huang

Comments 16 pages, 5 figures

Journal ref ICML 2023

VectorMapNet: End-to-end Vectorized HD Map Learning

Yicheng Liu, Tianyuan Yuan, Yue Wang, Yilun Wang, Hang Zhao

Comments Accepted by ICML 2023

Interpretable Off-Policy Learning via Hyperbox Search

Daniel Tschernutter, Tobias Hatt, Stefan Feuerriegel

Comments ICML 2022

Towards Understanding Gradient Approximation in Equality Constrained Deep Declarative Networks

Stephen Gould, Ming Xu, Zhiwei Xu, Yanbin Liu

Comments 10 pages, 4 figures, ICML 2023 workshop on Differentiable Almost Everything

L3Cube-MahaSent-MD: A Multi-domain Marathi Sentiment Analysis Dataset and Transformer Models

Aabha Pingle, Aditya Vyawahare, Isha Joshi, Rahul Tangsali, Raviraj Joshi

Comments Accepted at DMLR Workshop @ ICML 2023

Learn to Accumulate Evidence from All Training Samples: Theory and Practice

Deep Pandey, Qi Yu

Comments ICML 2023; Analysis and improvement of evidential deep learning theory

Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation

Yifei Min, Jiafan He, Tianhao Wang, Quanquan Gu

Comments Published at the 40th International Conference on Machine Learning ( ICML 2023 )

In Search for a Generalizable Method for Source Free Domain Adaptation

Malik Boudiaf, Tom Denton, Bart van Merriënboer, Vincent Dumoulin, Eleni Triantafillou

Comments ICML 2023

Learning Control-Oriented Dynamical Structure from Data

Spencer M. Richards, Jean-Jacques Slotine, Navid Azizan, Marco Pavone

Comments International Conference on Machine Learning (ICML), Honolulu, 2023

Inferring Hierarchical Structure in Multi-Room Maze Environments

Daria de Tinguy, Toon Van de Maele, Tim Verbelen, Bart Dhoedt

Comments ICML 2023 Workshop

Co-creating a globally interpretable model with human input

Rahul Nair

Comments Paper at Artificial Intelligence & Human-Computer Interaction Workshop at ICML 2023

Spotting Hallucinations in Inverse Problems with Data-Driven Priors

Matt L. Sampson, Peter Melchior

Comments 7 pages 3 figures, Accepted at the ICML 2023 Workshop on Machine Learning for Astrophysics

Approximate Causal Effect Identification under Weak Confounding

Ziwei Jiang, Lai Wei, Murat Kocaoglu

Comments Published in ICML 2023

Transformed Distribution Matching for Missing Value Imputation

He Zhao, Ke Sun, Amir Dezfouli, Edwin Bonilla

Comments ICML 2023 camera-ready version, https://openreview.net/forum?id=WBWb1FU8iz

Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression

Zhuoran Liu, Zhengyu Zhao, Martha Larson

Comments To appear at ICML 2023. Our code is available at https://github.com/liuzrcc/ImageShortcutSqueezing

Convergence of First-Order Methods for Constrained Nonconvex Optimization with Dependent Data

Ahmet Alacaoglu, Hanbaek Lyu

Comments 32 pages, 1 figure, 1 table

Journal ref International Conference on Machine Learning 2023

Siamese SIREN: Audio Compression with Implicit Neural Representations

Luca A. Lanzendörfer, Roger Wattenhofer

Comments Published as a workshop paper at ICML 2023 neural compression workshop

Evolving Computation Graphs

Andreea Deac, Jian Tang

Comments To appear at ICML TAGML 2023; 18 pages, 2 figures

Learnability and Algorithm for Continual Learning

Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Bing Liu

Comments ICML 2023