Publications

Improved Self-supervised Molecular Representation Learning using Persistent Homology
- - Yuankai Luo
  - Lei Shi
  - et al.
- 2023
- NeurIPS 2023
Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets
- - Zhang-wei Hong
  - Aviral Kumar
  - et al.
- 2023
- NeurIPS 2023
Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models
- - Sivan Doveh
  - Assaf Arbelle
  - et al.
- 2023
- NeurIPS 2023
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with epsilon-Greedy Exploration
- - Shuai Zhang
  - Hongkang Li
  - et al.
- 2023
- NeurIPS 2023
DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models
- - Tsun-hsuan Wang
  - Juntian Zheng
  - et al.
- 2023
- NeurIPS 2023
Leveraging Locality and Robustness to Achieve Massively Scalable Gaussian Process Regression
- - Robert Alison
  - Anthony Stephenson
  - et al.
- 2023
- NeurIPS 2023
Non-Stationary Bandits with Auto-Regressive Temporal Dependency
- - Qinyi Chen
  - Negin Golrezaei
  - et al.
- 2023
- NeurIPS 2023
Towards Label Position Bias in Graph Neural Networks
- - Haoyu Han
  - Xiaorui Liu
  - et al.
- 2023
- NeurIPS 2023
Cookie Consent Has Disparate Impact on Estimation Accuracy
- - Erik Miehling
  - Rahul Nair
  - et al.
- 2023
- NeurIPS 2023
On the role of entanglement and statistics in learning
- - Srinivasan Arunachalam
  - Vojtech Havlicek
  - et al.
- 2023
- NeurIPS 2023