| 2022 | Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap. | Charita Dellaporta, Jeremias Knoblauch, Theodoros Damoulas, Franois-Xavier Briol |
| 2022 | Nearly Tight Convergence Bounds for Semi-discrete Entropic Optimal Transport. | Alex Delalande |
| 2022 | Derivative-Based Neural Modelling of Cumulative Distribution Functions for Survival Analysis. | Dominic Danks, Christopher Yau |
| 2022 | Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes. | Hugh Dance, Brooks Paige |
| 2022 | Privacy Amplification by Decentralization. | Edwige Cyffers, Aurlien Bellet |
| 2022 | Learning Revenue-Maximizing Auctions With Differentiable Matching. | Michael J. Curry, Uro Lyi, Tom Goldstein, John P. Dickerson |
| 2022 | ExactBoost: Directly Boosting the Margin in Combinatorial and Non-decomposable Metrics. | Daniel Csillag, Carolina Piazza, Thiago Ramos, Joo Vitor Romano, Roberto I. Oliveira, Paulo Orenstein |
| 2022 | Sample-and-threshold differential privacy: Histograms and applications. | Graham Cormode, Akash Bharadwaj |
| 2022 | Statistical and computational thresholds for the planted k-densest sub-hypergraph problem. | Luca Corinzia, Paolo Penna, Wojciech Szpankowski, Joachim M. Buhmann |
| 2022 | Wide Mean-Field Bayesian Neural Networks Ignore the Data. | Beau Coker, Wessel P. Bruinsma, David R. Burt, Weiwei Pan, Finale Doshi-Velez |
| 2022 | On the Implicit Bias of Gradient Descent for Temporal Extrapolation. | Edo Cohen-Karlik, Avichai Ben David, Nadav Cohen, Amir Globerson |
| 2022 | On Facility Location Problem in the Local Differential Privacy Model. | Vincent Cohen-Addad, Yunus Esencayi, Chenglin Fan, Marco Gaboardi, Shi Li, Di Wang |
| 2022 | Sequential Multivariate Change Detection with Calibrated and Memoryless False Detection Rates. | Oliver Cobb, Arnaud Van Looveren, Janis Klaise |
| 2022 | Neural score matching for high-dimensional causal inference. | Oscar Clivio, Fabian Falck, Brieuc Lehmann, George Deligiannidis, Chris C. Holmes |
| 2022 | Conditionally Gaussian PAC-Bayes. | Eugenio Clerico, George Deligiannidis, Arnaud Doucet |
| 2022 | A Contraction Theory Approach to Optimization Algorithms from Acceleration Flows. | Pedro Cisneros-Velarde, Francesco Bullo |
| 2022 | Towards Understanding Biased Client Selection in Federated Learning. | Yae Jee Cho, Jianyu Wang, Gauri Joshi |
| 2022 | Density Ratio Estimation via Infinitesimal Classification. | Kristy Choi, Chenlin Meng, Yang Song, Stefano Ermon |
| 2022 | Solving Marginal MAP Exactly by Probabilistic Circuit Transformations. | YooJung Choi, Tal Friedman, Guy Van den Broeck |
| 2022 | Towards Return Parity in Markov Decision Processes. | Jianfeng Chi, Jian Shen, Xinyi Dai, Weinan Zhang, Yuan Tian, Han Zhao |
| 2022 | Spectral Robustness for Correlation Clustering Reconstruction in Semi-Adversarial Models. | Flavio Chierichetti, Alessandro Panconesi, Giuseppe Re, Luca Trevisan |
| 2022 | On Coresets for Fair Regression and Individually Fair Clustering. | Rachit Chhaya, Anirban Dasgupta, Jayesh Choudhari, Supratim Shit |
| 2022 | Rejection sampling from shape-constrained distributions in sublinear time. | Sinho Chewi, Patrik R. Gerber, Chen Lu, Thibaut Le Gouic, Philippe Rigollet |
| 2022 | Efficient computation of the the volume of a polytope in high-dimensions using Piecewise Deterministic Markov Processes. | Augustin Chevallier, Frdric Cazals, Paul Fearnhead |
| 2022 | On PAC-Bayesian reconstruction guarantees for VAEs. | Badr-Eddine Chrief-Abdellatif, Yuyang Shi, Arnaud Doucet, Benjamin Guedj |