ICML 2023 Conference Submissions

Label differential privacy and private training data release
Robert Istvan Busa-Fekete, Andres Munoz medina, Umar Syed, Sergei Vassilvitskii
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Learning Dense Correspondences between Photos and Sketches
Xuanchen Lu, Xiaolong Wang, Judith E Fan
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Conformalization of Sparse Generalized Linear Models
Etash Kumar Guha, Eugene Ndiaye, Xiaoming Huo
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Iterative Approximate Cross-Validation
Yuetian Luo, Zhimei Ren, Rina Barber
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Rockmate: an Efficient, Fast, Automatic and Generic Tool for Re-materialization in PyTorch
Xunyi Zhao, Théotime Le Hellard, Lionel Eyraud-Dubois, Julia Gusak, Olivier Beaumont
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 OralPoster
- Readers: Everyone
DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design
Jiaqi Guan, Xiangxin Zhou, Yuwei Yang, Yu Bao, Jian Peng, Jianzhu Ma, Qiang Liu, Liang Wang, Quanquan Gu
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Correcting discount-factor mismatch in on-policy policy gradient methods
Fengdi Che, Gautham Vasan, A. Rupam Mahmood
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Locally Regularized Neural Differential Equations: Some Black Boxes were meant to remain closed!
Avik Pal, Alan Edelman, Christopher Vincent Rackauckas
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
SinDDM: A Single Image Denoising Diffusion Model
Vladimir Kulikov, Shahar Yadin, Matan Kleiner, Tomer Michaeli
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
DRew: Dynamically Rewired Message Passing with Delay
Benjamin Gutteridge, Xiaowen Dong, Michael M. Bronstein, Francesco Di Giovanni
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Inflow, Outflow, and Reciprocity in Machine Learning
Mukund Sundararajan, Walid Krichene
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 OralPoster
- Readers: Everyone
Masked Trajectory Models for Prediction, Representation, and Control
Philipp Wu, Arjun Majumdar, Kevin Stone, Yixin Lin, Igor Mordatch, Pieter Abbeel, Aravind Rajeswaran
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time
Zichang Liu, Jue WANG, Tri Dao, Tianyi Zhou, Binhang Yuan, Zhao Song, Anshumali Shrivastava, Ce Zhang, Yuandong Tian, Christopher Re, Beidi Chen
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 OralPoster
- Readers: Everyone
Predictive Flows for Faster Ford-Fulkerson
Sami Davies, Benjamin Moseley, Sergei Vassilvitskii, Yuyan Wang
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
GLOBE-CE: A Translation Based Approach for Global Counterfactual Explanations
Dan Ley, Saumitra Mishra, Daniele Magazzeni
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation
Alicia Curth, Mihaela van der Schaar
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise
Zhenghao Lin, Yeyun Gong, yelong shen, Tong Wu, Zhihao Fan, Chen Lin, Nan Duan, Weizhu Chen
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Multisample Flow Matching: Straightening Flows with Minibatch Couplings
Aram-Alexandre Pooladian, Heli Ben-Hamu, Carles Domingo-Enrich, Brandon Amos, Yaron Lipman, Ricky T. Q. Chen
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Active causal structure learning with advice
Davin Choo, Themistoklis Gouleakis, Arnab Bhattacharyya
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Reinforcement Learning from Passive Data via Latent Intentions
Dibya Ghosh, Chethan Anand Bhateja, Sergey Levine
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 OralPoster
- Readers: Everyone
ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval
Kexun Zhang, Xianjun Yang, William Yang Wang, Lei Li
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Looped Transformers as Programmable Computers
Angeliki Giannou, Shashank Rajput, Jy-yong Sohn, Kangwook Lee, Jason D. Lee, Dimitris Papailiopoulos
- Published: 24 Apr 2023, Last Modified: 15 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Alternately Optimized Graph Neural Networks
Haoyu Han, Xiaorui Liu, Haitao Mao, MohamadAli Torkamani, Feng Shi, Victor Lee, Jiliang Tang
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Graph Inductive Biases in Transformers without Message Passing
Liheng Ma, Chen Lin, Derek Lim, Adriana Romero-Soriano, Puneet K. Dokania, Mark Coates, Philip Torr, Ser-Nam Lim
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone
Complexity of Block Coordinate Descent with Proximal Regularization and Applications to Wasserstein CP-dictionary Learning
Dohyun Kwon, Hanbaek Lyu
- Published: 24 Apr 2023, Last Modified: 21 Jun 2023
- ICML 2023 Poster
- Readers: Everyone