| 2023 | Langevin Diffusion Variational Inference. | Tomas Geffner, Justin Domke |
| 2023 | Knowledge Sheaves: A Sheaf-Theoretic Framework for Knowledge Graph Embedding. | Thomas Gebhart, Jakob Hansen, Paul Schrater |
| 2023 | Fair learning with Wasserstein barycenters for non-decomposable performance measures. | Solenne Gaucher, Nicolas Schreuder, Evgenii Chzhen |
| 2023 | Faster Projection-Free Augmented Lagrangian Methods via Weak Proximal Oracle. | Dan Garber, Tsur Livney, Shoham Sabach |
| 2023 | On the Convergence of Distributed Stochastic Bilevel Optimization Algorithms over a Network. | Hongchang Gao, Bin Gu, My T. Thai |
| 2023 | Active Learning for Single Neuron Models with Lipschitz Non-Linearities. | Aarshvi Gajjar, Christopher Musco, Chinmay Hegde |
| 2023 | One Arrow, Two Kills: A Unified Framework for Achieving Optimal Regret Guarantees in Sleeping Bandits. | Pierre Gaillard, Aadirupa Saha, Soham Dan |
| 2023 | Randomized Greedy Learning for Non-monotone Stochastic Submodular Maximization Under Full-bandit Feedback. | Fares Fourati, Vaneet Aggarwal, Christopher J. Quinn, Mohamed-Slim Alouini |
| 2023 | Influence Diagnostics under Self-concordance. | Jillian Fisher, Lang Liu, Krishna Pillutla, Yejin Choi, Zad Harchaoui |
| 2023 | A Bregman Divergence View on the Difference-of-Convex Algorithm. | Oisin Faust, Hamza Fawzi, James Saunderson |
| 2023 | Learning Sparse Graphon Mean Field Games. | Christian Fabian, Kai Cui, Heinz Koeppl |
| 2023 | The Role of Codeword-to-Class Assignments in Error-Correcting Codes: An Empirical Study. | Itay Evron, Ophir Onn, Tamar Weiss Orzech, Hai Azeroual, Daniel Soudry |
| 2023 | Improved Representation Learning Through Tensorized Autoencoders. | Pascal Mattia Esser, Satyaki Mukherjee, Mahalakshmi Sabanayagam, Debarghya Ghoshdastidar |
| 2023 | Interactive Learning with Pricing for Optimal and Stable Allocations in Markets. | Yigit Efe Erginbas, Soham Phade, Kannan Ramchandran |
| 2023 | Balanced Off-Policy Evaluation for Personalized Pricing. | Adam N. Elmachtoub, Vishal Gupta, Yunfan Zhao |
| 2023 | A Statistical Learning Take on the Concordance Index for Survival Analysis. | Kevin Elgui, Alex Nowak, Genevive Robin |
| 2023 | On the Strategyproofness of the Geometric Median. | El-Mahdi El-Mhamdi, Sadegh Farhadkhani, Rachid Guerraoui, L-Nguyn Hoang |
| 2023 | Learning from Multiple Sources for Data-to-Text and Text-to-Data. | Song Duong, Alberto Lumbreras, Mike Gartrell, Patrick Gallinari |
| 2023 | Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout. | Chen Dun, Mirian Hipolito Garcia, Chris Jermaine, Dimitrios Dimitriadis, Anastasios Kyrillidis |
| 2023 | Online Algorithms with Costly Predictions. | Marina Drygala, Sai Ganesh Nagarajan, Ola Svensson |
| 2023 | Frequentist Uncertainty Quantification in Semi-Structured Neural Networks. | Emilio Dorigatti, Benjamin Schubert, Bernd Bischl, David Rgamer |
| 2023 | Approximate Regions of Attraction in Learning with Decision-Dependent Distributions. | Roy Dong, Heling Zhang, Lillian J. Ratliff |
| 2023 | A New Modeling Framework for Continuous, Sequential Domains. | Hailiang Dong, James Amato, Vibhav Gogate, Nicholas Ruozzi |
| 2023 | Compress Then Test: Powerful Kernel Testing in Near-linear Time. | Carles Domingo-Enrich, Raaz Dwivedi, Lester Mackey |
| 2023 | Origins of Low-Dimensional Adversarial Perturbations. | Elvis Dohmatob, Chuan Guo, Morgane Goibert |