ICML 2023 Conference Submissions

Retrosynthetic Planning with Dual Value Networks
Guoqing Liu, Di Xue, Shufang Xie, Yingce Xia, Austin Tripp, Krzysztof Maziarz, Marwin Segler, Tao Qin, Zongzhang Zhang, Tie-Yan Liu
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Paging with Succinct Predictions
Antonios Antoniadis, Joan Boyar, Marek Elias, Lene M. Favrholdt, Ruben Hoeksma, Kim S. Larsen, Adam Polak, Bertrand Simon
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Superhuman Fairness
Omid Memarrast, Linh Vu, Brian D Ziebart
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Constrained Phi-Equilibria
Martino Bernasconi, Matteo Castiglioni, Alberto Marchesi, Francesco Trovò, Nicola Gatti
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Diffusion Models are Minimax Optimal Distribution Estimators
Kazusato Oko, Shunta Akiyama, Taiji Suzuki
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 OralPoster
- Readers: Everyone
Expectation-Complete Graph Representations with Homomorphisms
Pascal Welke, Maximilian Thiessen, Fabian Jogl, Thomas Gärtner
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference
Insung Kong, Dongyoon Yang, Jongjin Lee, Ilsang Ohn, GYUSEUNG BAEK, Yongdai Kim
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active Learning
Dayou Yu, Weishi Shi, Qi Yu
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Communication-Constrained Bandits under Additive Gaussian Noise
Prathamesh Mayekar, Jonathan Scarlett, Vincent Tan
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Collaborative Causal Inference with Fair Incentives
Rui Qiao, Xinyi Xu, Bryan Kian Hsiang Low
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Performative Reinforcement Learning
Debmalya Mandal, Stelios Triantafyllou, Goran Radanovic
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Approximation and Estimation Ability of Transformers for Sequence-to-Sequence Functions with Infinite Dimensional Input
Shokichi Takakura, Taiji Suzuki
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
GuardHFL: Privacy Guardian for Heterogeneous Federated Learning
Hanxiao Chen, Meng Hao, Hongwei Li, Kangjie Chen, Guowen Xu, Tianwei Zhang, Xilin Zhang
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Pretraining Language Models with Human Preferences
Tomasz Korbak, Kejian Shi, Angelica Chen, Rasika Vinayak Bhalerao, Christopher Buckley, Jason Phang, Samuel R. Bowman, Ethan Perez
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 OralPoster
- Readers: Everyone
Overcoming Simplicity Bias in Deep Networks using a Feature Sieve
Rishabh Tiwari, Pradeep Shenoy
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks
Yiwei Lu, Gautam Kamath, Yaoliang Yu
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
The Regret of Exploration and the Control of Bad Episodes in Reinforcement Learning
Victor Boone, Bruno Gaujal
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
The Wisdom of Hindsight Makes Language Models Better Instruction Followers
Tianjun Zhang, Fangchen Liu, Justin Wong, Pieter Abbeel, Joseph E. Gonzalez
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
STEP: Learning N:M Structured Sparsity Masks from Scratch with Precondition
Yucheng Lu, Shivani Agrawal, Suvinay Subramanian, Oleg Rybakov, Christopher De Sa, Amir Yazdanbakhsh
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
RankMe: Assessing the Downstream Performance of Pretrained Self-Supervised Representations by Their Rank
Quentin Garrido, Randall Balestriero, Laurent Najman, Yann LeCun
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 OralPoster
- Readers: Everyone
Speeding Up Bellman Ford via Minimum Violation Permutations
Silvio Lattanzi, Ola Svensson, Sergei Vassilvitskii
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Robust Budget Pacing with a Single Sample
Santiago R. Balseiro, Rachitesh Kumar, Vahab Mirrokni, Balasubramanian Sivan, Di Wang
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 OralPoster
- Readers: Everyone
SparseGPT: Massive Language Models Can be Accurately Pruned in One-Shot
Elias Frantar, Dan Alistarh
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 OralPoster
- Readers: Everyone
Efficient RL via Disentangled Environment and Agent Representations
Kevin Gmelin, Shikhar Bahl, Russell Mendonca, Deepak Pathak
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 OralPoster
- Readers: Everyone
Reflected Diffusion Models
Aaron Lou, Stefano Ermon
- Published: 15 Jun 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone