ICML 2023 Conference Submissions

Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning
Cheng Lu, Huayu Chen, Jianfei Chen, Hang Su, Chongxuan Li, Jun Zhu
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling
Stella Biderman, Hailey Schoelkopf, Quentin Gregory Anthony, Herbie Bradley, Kyle O'Brien, Eric Hallahan, Mohammad Aflah Khan, Shivanshu Purohit, USVSN Sai Prashanth, Edward Raff, Aviya Skowron, Lintang Sutawika, Oskar van der Wal
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 OralPoster
- Readers: Everyone
ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs
Ted Moskovitz, Brendan O'Donoghue, Vivek Veeriah, Sebastian Flennerhag, Satinder Singh, Tom Zahavy
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples
Dongyoon Yang, Insung Kong, Yongdai Kim
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Federated Linear Contextual Bandits with User-level Differential Privacy
Ruiquan Huang, Huanyu Zhang, Luca Melis, Milan Shen, Meisam Hejazinia, Jing Yang
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
simple diffusion: End-to-end diffusion for high resolution images
Emiel Hoogeboom, Jonathan Heek, Tim Salimans
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Geometric Clifford Algebra Networks
David Ruhe, Jayesh K Gupta, Steven De Keninck, Max Welling, Johannes Brandstetter
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows
Chao Du, Tianbo Li, Tianyu Pang, Shuicheng YAN, Min Lin
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Accelerated Stochastic Optimization Methods under Quasar-convexity
Qiang Fu, Dongchu Xu, Ashia Camage Wilson
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Conformal Prediction for Federated Uncertainty Quantification Under Label Shift
Vincent Plassier, Mehdi Makni, Aleksandr Rubashevskii, Eric Moulines, Maxim Panov
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
The Edge of Orthogonality: A Simple View of What Makes BYOL Tick
Pierre Harvey Richemond, Allison Tam, Yunhao Tang, Florian Strub, Bilal Piot, Felix Hill
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Nested Elimination: A Simple Algorithm for Best-Item Identification From Choice-Based Feedback
Junwen Yang, Yifan Feng
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Harmonic Neural Networks
Atiyo Ghosh, Antonio Andrea Gentile, Mario Dagrada, Chul Lee, Seong-Hyok Sean Kim, Hyukgeun Cha, Yunjun Choi, Dongho Kim, JEONG-IL KYE, Vincent Emanuel Elfving
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
N$\text{A}^\text{2}$Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning
Zichuan Liu, Yuanyang Zhu, Chunlin Chen
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning
Jaesik Yoon, Yi-Fu Wu, Heechul Bae, Sungjin Ahn
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
GNN&GBDT-Guided Fast Optimizing Framework for Large-scale Integer Programming
Huigen Ye, Hua Xu, Hongyan Wang, Chengming Wang, Yu Jiang
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
State and parameter learning with PARIS particle Gibbs
Gabriel Cardoso, Yazid Janati El Idrissi, Sylvain Le Corff, Eric Moulines, Jimmy Olsson
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Bayes-optimal Learning of Deep Random Networks of Extensive-width
Hugo Cui, Florent Krzakala, Lenka Zdeborova
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 OralPoster
- Readers: Everyone
Tuning Computer Vision Models With Task Rewards
André Susano Pinto, Alexander Kolesnikov, Yuge Shi, Lucas Beyer, Xiaohua Zhai
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks
Feng Ji, See Hian Lee, Hanyang Meng, Kai Zhao, Jielong Yang, Wee Peng Tay
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Meta-learning Parameterized Skills
Haotian Fu, Shangqun Yu, Saket Tiwari, Michael Littman, George Konidaris
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
A Scalable Frank-Wolfe-Based Algorithm for the Max-Cut SDP
Chi Bach Pham, Wynita Griggs, James Saunderson
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Last Switch Dependent Bandits with Monotone Payoff Functions
Ayoub Foussoul, Vineet Goyal, Orestis Papadigenopoulos, assaf zeevi
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Multi-class Graph Clustering via Approximated Effective $p$-Resistance
Shota Saito, Mark Herbster
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Under-Counted Tensor Completion with Neural Incorporation of Attributes
Shahana Ibrahim, Xiao Fu, Rebecca Hutchinson, Eugene Seo
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone