ICML 2024 Conference Submissions

An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series
Qiang Huang, Chuizheng Meng, Defu Cao, Biwei Huang, Yi Chang, Yan Liu
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
Codebook Features: Sparse and Discrete Interpretability for Neural Networks
Alex Tamkin, Mohammad Taufeeque, Noah Goodman
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
Revisit the Essence of Distilling Knowledge through Calibration
Wen-Shu Fan, Su Lu, Xin-Chun Li, De-Chuan Zhan, Le Gan
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
Fine-grained Classes and How to Find Them
Matej Grcic, Artyom Gadetsky, Maria Brbic
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
GliDe with a CaPE: A Low-Hassle Method to Accelerate Speculative Decoding
Cunxiao Du, Jing Jiang, Xu Yuanchen, Jiawei Wu, Sicheng Yu, Yongqi Li, Shenggui Li, Kai Xu, Liqiang Nie, Zhaopeng Tu, Yang You
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
Offline Transition Modeling via Contrastive Energy Learning
Ruifeng Chen, Chengxing Jia, Zefang Huang, Tian-Shuo Liu, Xu-Hui Liu, Yang Yu
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
Model-based Reinforcement Learning for Confounded POMDPs
Mao Hong, Zhengling Qi, Yanxun Xu
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
Enhancing Class-Imbalanced Learning with Pre-Trained Guidance through Class-Conditional Knowledge Distillation
Lan Li, Xin-Chun Li, Han-Jia Ye, De-Chuan Zhan
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
BiE: Bi-Exponent Block Floating-Point for Large Language Models Quantization
Lancheng Zou, Wenqian Zhao, Shuo Yin, Chen Bai, Qi Sun, Bei Yu
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
Position: Automatic Environment Shaping is the Next Frontier in RL
Younghyo Park, Gabriel B. Margolis, Pulkit Agrawal
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Oral
- Readers: Everyone
Online Matching with Stochastic Rewards: Provable Better Bound via Adversarial Reinforcement Learning
Qiankun Zhang, Aocheng Shen, Boyu Zhang, Hanrui Jiang, Bingqian Du
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Oral
- Readers: Everyone
On the Unexpected Effectiveness of Reinforcement Learning for Sequential Recommendation
Álvaro Labarca Silva, Denis Parra, Rodrigo Toro Icarte
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
Quantum Positional Encodings for Graph Neural Networks
Slimane Thabet, Mehdi Djellabi, Igor Olegovich Sokolov, Sachin Kasture, Louis-Paul Henry, Loic Henriet
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
Diffuse, Sample, Project: Plug-And-Play Controllable Graph Generation
Kartik Sharma, Srijan Kumar, Rakshit Trivedi
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities
Golnoosh Farnadi, Mohammad Havaei, Negar Rostamzadeh
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
Jetfire: Efficient and Accurate Transformer Pretraining with INT8 Data Flow and Per-Block Quantization
Haocheng Xi, Yuxiang Chen, Kang Zhao, KAI JUN TEH, Jianfei Chen, Jun Zhu
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Spotlight
- Readers: Everyone
Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples
Thomas TCK Zhang, Bruce D Lee, Ingvar Ziemann, George J. Pappas, Nikolai Matni
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
Towards General Algorithm Discovery for Combinatorial Optimization: Learning Symbolic Branching Policy from Bipartite Graph
Yufei Kuang, Jie Wang, Yuyan Zhou, Xijun Li, Fangzhou Zhu, Jianye HAO, Feng Wu
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
Online Learning with Bounded Recall
Jon Schneider, Kiran Vodrahalli
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
The Expressive Power of Path-Based Graph Neural Networks
Caterina Graziani, Tamara Drucks, Fabian Jogl, Monica Bianchini, franco scarselli, Thomas Gärtner
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
OT-CLIP: Understanding and Generalizing CLIP via Optimal Transport
Liangliang Shi, Jack Fan, Junchi Yan
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
Position: Beyond Personhood: Agency, Accountability, and the Limits of Anthropomorphic Ethical Analysis
Jessica Dai
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Oral
- Readers: Everyone
Lessons from Generalization Error Analysis of Federated Learning: You May Communicate Less Often!
Milad Sefidgaran, Romain Chor, Abdellatif Zaidi, Yijun Wan
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
Particle Denoising Diffusion Sampler
Angus Phillips, Hai-Dang Dau, Michael John Hutchinson, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Poster
- Readers: Everyone
Transformers Learn Nonlinear Features In Context: Nonconvex Mean-field Dynamics on the Attention Landscape
Juno Kim, Taiji Suzuki
- Published: 02 May 2024, Last Modified: 25 Jun 2024
- ICML 2024 Oral
- Readers: Everyone