| 2023 | Reducing Discretization Error in the Frank-Wolfe Method. | Zhaoyue Chen, Yifan Sun |
| 2023 | A Multi-Task Gaussian Process Model for Inferring Time-Varying Treatment Effects in Panel Data. | Yehu Chen, Annamaria Prati, Jacob M. Montgomery, Roman Garnett |
| 2023 | The communication cost of security and privacy in federated frequency estimation. | Wei-Ning Chen, Ayfer zgr, Graham Cormode, Akash Bharadwaj |
| 2023 | Protecting Global Properties of Datasets with Distribution Privacy Mechanisms. | Michelle Chen, Olga Ohrimenko |
| 2023 | Algorithm-Dependent Bounds for Representation Learning of Multi-Source Domain Adaptation. | Qi Chen, Mario Marchand |
| 2023 | Statistical Analysis of Karcher Means for Random Restricted PSD Matrices. | Hengchao Chen, Xiang Li, Qiang Sun |
| 2023 | Select and Optimize: Learning to aolve large-scale TSP instances. | Hanni Cheng, Haosi Zheng, Ya Cong, Weihao Jiang, Shiliang Pu |
| 2023 | HeteRSGD: Tackling Heterogeneous Sampling Costs via Optimal Reweighted Stochastic Gradient Descent. | Ziang Chen, Jianfeng Lu, Huajie Qian, Xinshang Wang, Wotao Yin |
| 2023 | Precision Recall Cover: A Method For Assessing Generative Models. | Fasil Cheema, Ruth Urner |
| 2023 | "Plus/minus the learning rate": Easy and Scalable Statistical Inference with SGD. | Jerry Chee, Hwanwoo Kim, Panos Toulis |
| 2023 | Adversarial De-confounding in Individualised Treatment Effects Estimation. | Vinod Kumar Chauhan, Soheila Molaei, Marzia Hoque Tania, Anshul Thakur, Tingting Zhu, David A. Clifton |
| 2023 | Two-Sample Tests for Inhomogeneous Random Graphs in L | Sayak Chatterjee, Dibyendu Saha, Soham Dan, Bhaswar B. Bhattacharya |
| 2023 | Fitting low-rank models on egocentrically sampled partial networks. | Ga Ming Angus Chan, Tianxi Li |
| 2023 | Autoencoded sparse Bayesian in-IRT factorization, calibration, and amortized inference for the Work Disability Functional Assessment Battery. | Joshua C. Chang, Carson C. Chow, Julia Porcino |
| 2023 | Clustering High-dimensional Data with Ordered Weighted ℓ | Chandramauli Chakraborty, Sayan Paul, Saptarshi Chakraborty, Swagatam Das |
| 2023 | Multi-task Representation Learning with Stochastic Linear Bandits. | Leonardo Cella, Karim Lounici, Grgoire Pacreau, Massimiliano Pontil |
| 2023 | Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracles. | Aldo Gael Carranza, Sanath Kumar Krishnamurthy, Susan Athey |
| 2023 | Active Cost-aware Labeling of Streaming Data. | Ting Cai, Kirthevasan Kandasamy |
| 2023 | Transport Elliptical Slice Sampling. | Alberto Cabezas, Christopher Nemeth |
| 2023 | A Case of Exponential Convergence Rates for SVM. | Vivien Cabannes, Stefano Vigogna |
| 2023 | The Schrdinger Bridge between Gaussian Measures has a Closed Form. | Charlotte Bunne, Ya-Ping Hsieh, Marco Cuturi, Andreas Krause |
| 2023 | BlitzMask: Real-Time Instance Segmentation Approach for Mobile Devices. | Vitalii Bulygin, Dmytro Mykheievskyi, Kyrylo Kuchynskyi |
| 2023 | ANACONDA: An Improved Dynamic Regret Algorithm for Adaptive Non-Stationary Dueling Bandits. | Thomas Kleine Buening, Aadirupa Saha |
| 2023 | Minimax-Bayes Reinforcement Learning. | Thomas Kleine Buening, Christos Dimitrakakis, Hannes Eriksson, Divya Grover, Emilio Jorge |
| 2023 | Membership Inference Attacks against Synthetic Data through Overfitting Detection. | Boris van Breugel, Hao Sun, Zhaozhi Qian, Mihaela van der Schaar |