| 2021 | Uncertainty in minimum cost multicuts for image and motion segmentation. | Amirhossein Kardoost, Margret Keuper |
| 2021 | Gradient-based optimization for multi-resource spatial coverage problems. | Nitin Kamra, Yan Liu |
| 2021 | RISAN: Robust instance specific deep abstention network. | Bhavya Kalra, Kulin Shah, Naresh Manwani |
| 2021 | Generalization error bounds for deep unfolding RNNs. | Boris Joukovsky, Tanmoy Mukherjee, Huynh Van Luong, Nikos Deligiannis |
| 2021 | TreeBERT: A tree-based pre-trained model for programming language. | Xue Jiang, Zhuoran Zheng, Chen Lyu, Liang Li, Lei Lyu |
| 2021 | Variational refinement for importance sampling using the forward Kullback-Leibler divergence. | Ghassen Jerfel, Serena Lutong Wang, Clara Wong-Fannjiang, Katherine A. Heller, Yian Ma, Michael I. Jordan |
| 2021 | Subset-of-data variational inference for deep Gaussian-processes regression. | Ayush Jain, P. K. Srijith, Mohammad Emtiyaz Khan |
| 2021 | Generating adversarial examples with graph neural networks. | Florian Jaeckle, M. Pawan Kumar |
| 2021 | Efficient debiased evidence estimation by multilevel Monte Carlo sampling. | Kei Ishikawa, Takashi Goda |
| 2021 | Inference of causal effects when control variables are unknown. | Ludvig Hult, Dave Zachariah |
| 2021 | Stochastic continuous normalizing flows: training SDEs as ODEs. | Liam Hodgkinson, Christopher van der Heide, Fred Roosta, Michael W. Mahoney |
| 2021 | Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms. | Fengxiang He, Bohan Wang, Dacheng Tao |
| 2021 | Gaussian process nowcasting: application to COVID-19 mortality reporting. | Iwona Hawryluk, Henrique Hoeltgebaum, Swapnil Mishra, Xenia Miscouridou, Ricardo P. Schnekenberg, Charles Whittaker, Michaela A. C. Vollmer, Seth R. Flaxman, Samir Bhatt, Thomas A. Mellan |
| 2021 | Measuring data leakage in machine-learning models with Fisher information. | Awni Y. Hannun, Chuan Guo, Laurens van der Maaten |
| 2021 | Testification of Condorcet Winners in dueling bandits. | Bjrn Haddenhorst, Viktor Bengs, Jasmin Brandt, Eyke Hllermeier |
| 2021 | Staying in shape: learning invariant shape representations using contrastive learning. | Jeffrey Gu, Serena Yeung |
| 2021 | Estimating treatment effects with observed confounders and mediators. | Shantanu Gupta, Zachary C. Lipton, David Childers |
| 2021 | LocalNewton: Reducing communication rounds for distributed learning. | Vipul Gupta, Avishek Ghosh, Michal Derezinski, Rajiv Khanna, Kannan Ramchandran, Michael W. Mahoney |
| 2021 | Integer programming-based error-correcting output code design for robust classification. | Samarth Gupta, Saurabh Amin |
| 2021 | Active multi-fidelity Bayesian online changepoint detection. | Gregory W. Gundersen, Diana Cai, Chuteng Zhou, Barbara E. Engelhardt, Ryan P. Adams |
| 2021 | Probabilistic DAG search. | Julia Grosse, Cheng Zhang, Philipp Hennig |
| 2021 | Exact and approximate hierarchical clustering using A. | Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Avinava Dubey, Patrick Flaherty, Manzil Zaheer, Amr Ahmed, Kyle Cranmer, Andrew McCallum |
| 2021 | Condition number bounds for causal inference. | Spencer L. Gordon, Vinayak M. Kumar, Leonard J. Schulman, Piyush Srivastava |
| 2021 | Contextual policy transfer in reinforcement learning domains via deep mixtures-of-experts. | Michael Gimelfarb, Scott Sanner, Chi-Guhn Lee |
| 2021 | Decentralized multi-agent active search for sparse signals. | Ramina Ghods, Arundhati Banerjee, Jeff Schneider |