PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimationby Pablo Lemos,…
Masked Graph Autoencoder with Non-discrete Bandwidthsby Ziwen Zhao, Yuhua Li, Yixiong Zou, Jiliang Tang, Ruixuan…
Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generationby Lingxiao Zhao, Xueying Ding, Leman AkogluFirst submitted to…
Consistent Joint Decision-Making with Heterogeneous Learning Modelsby Hossein Rajaby Faghihi, Parisa KordjamshidiFirst submitted to arxiv…
Revisiting the Dataset Bias Problem from a Statistical Perspectiveby Kien Do, Dung Nguyen, Hung Le,…
Neural Network Approximators for Marginal MAP in Probabilistic Circuitsby Shivvrat Arya, Tahrima Rahman, Vibhav GogateFirst…
Convex Relaxations of ReLU Neural Networks Approximate Global Optima in Polynomial Timeby Sungyoon Kim, Mert…
On the Impact of Output Perturbation on Fairness in Binary Linear Classificationby Vitalii Emelianov, Michaël…
Variational Flow Models: Flowing in Your Styleby Kien Do, Duc Kieu, Toan Nguyen, Dang Nguyen,…
Statistical Guarantees for Link Prediction using Graph Neural Networksby Alan Chung, Amin Saberi, Morgane AusternFirst…