NeurIPS 2023: all accepted papers
- Unbiased learning of deep generative models with structured discrete representations ↗Henry Bendekgey, Gabe Hope, Erik B. Sudderth
- Unconstrained Dynamic Regret via Sparse Coding ↗Zhiyu Zhang, Ashok Cutkosky, Yannis Paschalidis
- Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games with Bandit Feedback ↗Yang Cai, Haipeng Luo, Chen-Yu Wei et al.
- Uncovering Meanings of Embeddings via Partial Orthogonality ↗Yibo Jiang, Bryon Aragam, Victor Veitch
- Undirected Probabilistic Model for Tensor Decomposition ↗Zerui Tao, Toshihisa Tanaka, Qibin Zhao
- UniT: A Unified Look at Certified Robust Training against Text Adversarial Perturbation ↗Muchao Ye, Ziyi Yin, Tianrong Zhang et al.
- Uniform Convergence with Square-Root Lipschitz Loss ↗Lijia Zhou, Zhen Dai, Frederic Koehler et al.
- Unifying Predictions of Deterministic and Stochastic Physics in Mesh-reduced Space with Sequential Flow Generative Model ↗Luning Sun, Xu Han, Han Gao et al.
- Universal Online Learning with Gradient Variations: A Multi-layer Online Ensemble Approach ↗Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou
- Universality laws for Gaussian mixtures in generalized linear models ↗Yatin Dandi, Ludovic Stephan, Florent Krząkała et al.
- Unlocking Deterministic Robustness Certification on ImageNet ↗Kai Hu, Andy Zou, Zifan Wang et al.
- Unsupervised Behavior Extraction via Random Intent Priors ↗Hao Hu, Yiqin Yang, Jianing Ye et al.
- V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs ↗Senzhang Wang, Jun Yin, Chaozhuo Li et al.
- VTaC: A Benchmark Dataset of Ventricular Tachycardia Alarms from ICU Monitors ↗Li-wei H. Lehman, Benjamin Moody, Harsh Deep et al.
- VaRT: Variational Regression Trees ↗Sebastian Salazar
- Variational Gaussian Processes with Decoupled Conditionals ↗Xinran Zhu, Kaiwen Wu, Natalie Maus et al.
- Variational Weighting for Kernel Density Ratios ↗Sangwoong Yoon, Frank C. Park, Gunsu Yun et al.
- Versatile Energy-Based Probabilistic Models for High Energy Physics ↗Taoli Cheng, Aaron C. Courville
- ViSt3D: Video Stylization with 3D CNN ↗Ayush Pande, Gaurav Sharma
- Video Timeline Modeling For News Story Understanding ↗Meng Liu, Mingda Zhang, Jialu Liu et al.
- VisAlign: Dataset for Measuring the Alignment between AI and Humans in Visual Perception ↗Jiyoung Lee, Seungho Kim, Seunghyun Won et al.
- WCLD: Curated Large Dataset of Criminal Cases from Wisconsin Circuit Courts ↗Elliott Ash, Naman Goel, Nianyun Li et al.
- WalkLM: A Uniform Language Model Fine-tuning Framework for Attributed Graph Embedding ↗Yanchao Tan, Zihao Zhou, Hang Lv et al.
- Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies ↗Hanna Ziesche, Leonel Dario Rozo
- Weighted ROC Curve in Cost Space: Extending AUC to Cost-Sensitive Learning ↗Huiyang Shao, Qianqian Xu, Zhiyong Yang et al.
- Weitzman's Rule for Pandora's Box with Correlations ↗Evangelia Gergatsouli, Christos Tzamos
- What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners? ↗Fnu Suya, Xiao Zhang, Yuan Tian et al.
- What Makes Data Suitable for a Locally Connected Neural Network? A Necessary and Sufficient Condition Based on Quantum Entanglement. ↗Yotam Alexander, Nimrod De La Vega, Noam Razin et al.
- What Planning Problems Can A Relational Neural Network Solve? ↗Jiayuan Mao, Tomás Lozano‐Pérez, Joshua B. Tenenbaum et al.
- What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization ↗Hao Sun, Boris van Breugel, Jonathan Crabbé et al.
- What is the Inductive Bias of Flatness Regularization? A Study of Deep Matrix Factorization Models ↗Khashayar Gatmiry, Zhiyuan Li, Tengyu Ma et al.
- When Can We Track Significant Preference Shifts in Dueling Bandits? ↗Joe Suk, Arpit Agarwal
- When can Regression-Adjusted Control Variate Help? Rare Events, Sobolev Embedding and Minimax Optimality ↗José Blanchet, Haoxuan Chen, Yiping Lu et al.
- When is Agnostic Reinforcement Learning Statistically Tractable? ↗Zeyu Jia, Gene Li, Alexander Rakhlin et al.
- Wyze Rule: Federated Rule Dataset for Rule Recommendation Benchmarking ↗Mohammad Mahdi Kamani, Yuhang Yao, Hanjia Lyu et al.
- Zero-One Laws of Graph Neural Networks ↗Sam Adam-Day, Iliant Iliant, Ismail Ceylan
- p-value Adjustment for Monotonous, Unbiased, and Fast Clustering Comparison ↗Kai Klede, Thomas Altstidl, Dario Zanca et al.
- ε-fractional core stability in Hedonic Games. ↗Simone Fioravanti, Michele Flammini, Bojana Kodric et al.
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