| 2023 | A scalable Walsh-Hadamard regularizer to overcome the low-degree spectral bias of neural networks. | Ali Gorji, Andisheh Amrollahi, Andreas Krause |
| 2023 | Piecewise Deterministic Markov Processes for Bayesian Neural Networks. | Ethan Goan, Dimitri Perrin, Kerrie L. Mengersen, Clinton Fookes |
| 2023 | Vacant holes for unsupervised detection of the outliers in compact latent representation. | Misha Glazunov, Apostolis Zarras |
| 2023 | Fast and scalable score-based kernel calibration tests. | Pierre Glaser, David Widmann, Fredrik Lindsten, Arthur Gretton |
| 2023 | Probabilistically robust conformal prediction. | Subhankar Ghosh, Yuanjie Shi, Taha Belkhouja, Yan Yan, Jana Doppa, Brian Jones |
| 2023 | Quasi-Bayesian nonparametric density estimation via autoregressive predictive updates. | Sahra Ghalebikesabi, Chris C. Holmes, Edwin Fong, Brieuc Lehmann |
| 2023 | A Data-Driven State Aggregation Approach for Dynamic Discrete Choice Models. | Sinong Geng, Houssam Nassif, Carlos A. Manzanares |
| 2023 | Information theoretic clustering via divergence maximization among clusters. | Sahil Garg, Mina Dalirrooyfard, Anderson Schneider, Yeshaya Adler, Yuriy Nevmyvaka, Yu Chen, Fengpei Li, Guillermo A. Cecchi |
| 2023 | In- or out-of-distribution detection via dual divergence estimation. | Sahil Garg, Sanghamitra Dutta, Mina Dalirrooyfard, Anderson Schneider, Yuriy Nevmyvaka |
| 2023 | Time-Conditioned Generative Modeling of Object-Centric Representations for Video Decomposition and Prediction. | Chengmin Gao, Bin Li |
| 2023 | Does Momentum Help in Stochastic Optimization? A Sample Complexity Analysis. | Swetha Ganesh, Rohan Deb, Gugan Thoppe, Amarjit Budhiraja |
| 2023 | Copula-based deep survival models for dependent censoring. | Ali Hossein Gharari Foomani, Michael Cooper, Russell Greiner, Rahul G. Krishnan |
| 2023 | On the role of model uncertainties in Bayesian optimisation. | Jonathan Foldager, Mikkel Jordahn, Lars Kai Hansen, Michael Riis Andersen |
| 2023 | Logit-based ensemble distribution distillation for robust autoregressive sequence uncertainties. | Yassir Fathullah, Guoxuan Xia, Mark J. F. Gales |
| 2023 | Generating Synthetic Datasets by Interpolating along Generalized Geodesics. | Jiaojiao Fan, David Alvarez-Melis |
| 2023 | Personalized federated domain adaptation for item-to-item recommendation. | Ziwei Fan, Hao Ding, Anoop Deoras, Trong Nghia Hoang |
| 2023 | Deep Gaussian mixture ensembles. | Yousef El-Laham, Niccol Dalmasso, Elizabeth Fons, Svitlana Vyetrenko |
| 2023 | Studying the Effect of GNN Spatial Convolutions On The Embedding Space's Geometry. | Claire Donnat, Sowon Jeong |
| 2023 | Dirichlet Proportions Model for Hierarchically Coherent Probabilistic Forecasting. | Abhimanyu Das, Weihao Kong, Biswajit Paria, Rajat Sen |
| 2023 | CrysMMNet: Multimodal Representation for Crystal Property Prediction. | Kishalay Das, Pawan Goyal, Seung-Cheol Lee, Satadeep Bhattacharjee, Niloy Ganguly |
| 2023 | Improvable Gap Balancing for Multi-Task Learning. | Yanqi Dai, Nanyi Fei, Zhiwu Lu |
| 2023 | Conditional abstraction trees for sample-efficient reinforcement learning. | Mehdi Dadvar, Rashmeet Kaur Nayyar, Siddharth Srivastava |
| 2023 | Blackbox optimization of unimodal functions. | Ashok Cutkosky, Abhimanyu Das, Weihao Kong, Chansoo Lee, Rajat Sen |
| 2023 | Learning to reason about contextual knowledge for planning under uncertainty. | Cheng Cui, Saeid Amiri, Yan Ding, Xingyue Zhan, Shiqi Zhang |
| 2023 | Human-in-the-Loop Mixup. | Katherine M. Collins, Umang Bhatt, Weiyang Liu, Vihari Piratla, Ilia Sucholutsky, Bradley C. Love, Adrian Weller |