ICML

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

Approximation Algorithms for Fair Range Clustering

Sèdjro S. Hotegni, Sepideh Mahabadi, Ali Vakilian

Comments ICML 2023

Self-Interpretable Time Series Prediction with Counterfactual Explanations

Jingquan Yan, Hao Wang

Comments ICML 2023 Oral. Code will be available at https://github.com/Wang-ML-Lab/self-interpretable-time-series

SemSup-XC: Semantic Supervision for Zero and Few-shot Extreme Classification

Pranjal Aggarwal, Ameet Deshpande, Karthik Narasimhan

Comments Published at ICML 2023. V2: camera ready version at ICML 2023

Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories

Qinqing Zheng, Mikael Henaff, Brandon Amos, Aditya Grover

Comments ICML 2023. Code: https://github.com/facebookresearch/ssorl/

Learning the galaxy-environment connection with graph neural networks

John F. Wu, Christian Kragh Jespersen

Comments Accepted to the 2023 ICML ML4astro workshop

Continual Learners are Incremental Model Generalizers

Jaehong Yoon, Sung Ju Hwang, Yue Cao

Comments ICML 2023

Structured Cooperative Learning with Graphical Model Priors

Shuangtong Li, Tianyi Zhou, Xinmei Tian, Dacheng Tao

Comments Accepted by icml 2023

PAC Prediction Sets for Large Language Models of Code

Adam Khakhar, Stephen Mell, Osbert Bastani

Comments Proceedings of the 40th International Conference on Machine Learning

Journal ref PMLR 202, 2023

Constrained Decision Transformer for Offline Safe Reinforcement Learning

Zuxin Liu, Zijian Guo, Yihang Yao, Zhepeng Cen, Wenhao Yu, Tingnan Zhang, Ding Zhao

Comments Published at ICML 2023

On the Connection Between MPNN and Graph Transformer

Chen Cai, Truong Son Hy, Rose Yu, Yusu Wang

Comments ICML 2023

PLay: Parametrically Conditioned Layout Generation using Latent Diffusion

Chin-Yi Cheng, Forrest Huang, Gang Li, Yang Li

Comments ICML 2023

Harnessing the Power of Adversarial Prompting and Large Language Models for Robust Hypothesis Generation in Astronomy

Ioana Ciucă, Yuan-Sen Ting, Sandor Kruk, Kartheik Iyer

Comments 8 pages, 3 figures, accepted to ICML ML4Astro Workshop. Comments and suggestions are welcome

Stable and Consistent Prediction of 3D Characteristic Orientation via Invariant Residual Learning

Seungwook Kim, Chunghyun Park, Yoonwoo Jeong, Jaesik Park, Minsu Cho

Comments Accepted to ICML 2023

Data Structures for Density Estimation

Anders Aamand, Alexandr Andoni, Justin Y. Chen, Piotr Indyk, Shyam Narayanan, Sandeep Silwal

Comments To appear at ICML'23

Traversing Between Modes in Function Space for Fast Ensembling

EungGu Yun, Hyungi Lee, Giung Nam, Juho Lee

Comments ICML 2023

Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap

Hang Wang, Sen Lin, Junshan Zhang

Comments ICML 2023 Oral

Beam Tree Recursive Cells

Jishnu Ray Chowdhury, Cornelia Caragea

Comments Accepted in ICML 2023

Towards Omni-generalizable Neural Methods for Vehicle Routing Problems

Jianan Zhou, Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang

Comments Accepted at ICML 2023

Cross-Entropy Loss Functions: Theoretical Analysis and Applications

Anqi Mao, Mehryar Mohri, Yutao Zhong

Comments ICML 2023

Compositional Exemplars for In-context Learning

Jiacheng Ye, Zhiyong Wu, Jiangtao Feng, Tao Yu, Lingpeng Kong

Comments Accepted in ICML 2023

Mirror Sinkhorn: Fast Online Optimization on Transport Polytopes

Marin Ballu, Quentin Berthet

Comments ICML 2023

Towards Explaining Distribution Shifts

Sean Kulinski, David I. Inouye

Comments ICML 2023

Reprogramming Pretrained Language Models for Antibody Sequence Infilling

Igor Melnyk, Vijil Chenthamarakshan, Pin-Yu Chen, Payel Das, Amit Dhurandhar, Inkit Padhi, Devleena Das

Comments ICML 2023

Normalizing Flows for Interventional Density Estimation

Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel

Journal ref Proceedings of the 40-th International Conference on Machine Learning, Honolulu, Hawaii, USA, PMLR 202, 2023