| 2023 | Asymptotically Unbiased Off-Policy Policy Evaluation when Reusing Old Data in Nonstationary Environments. | Vincent Liu, Yash Chandak, Philip S. Thomas, Martha White |
| 2023 | Probabilities of Causation: Role of Observational Data. | Ang Li, Judea Pearl |
| 2023 | Global Convergence of Over-parameterized Deep Equilibrium Models. | Zenan Ling, Xingyu Xie, Qiuhao Wang, Zongpeng Zhang, Zhouchen Lin |
| 2023 | Energy-Based Models for Functional Data using Path Measure Tilting. | Jen Ning Lim, Sebastian J. Vollmer, Lorenz Wolf, Andrew B. Duncan |
| 2023 | Multilevel Bayesian Quadrature. | Kaiyu Li, Daniel Giles, Toni Karvonen, Serge Guillas, Franois-Xavier Briol |
| 2023 | Mode-Seeking Divergences: Theory and Applications to GANs. | Cheuk Ting Li, Farzan Farnia |
| 2023 | SMCP3: Sequential Monte Carlo with Probabilistic Program Proposals. | Alexander K. Lew, George Matheos, Tan Zhi-Xuan, Matin Ghavamizadeh, Nishad Gothoskar, Stuart Russell, Vikash K. Mansinghka |
| 2023 | Context-Specific Causal Discovery for Categorical Data Using Staged Trees. | Manuele Leonelli, Gherardo Varando |
| 2023 | Scalable Unbalanced Sobolev Transport for Measures on a Graph. | Tam Le, Truyen Nguyen, Kenji Fukumizu |
| 2023 | Vector Quantized Time Series Generation with a Bidirectional Prior Model. | Daesoo Lee, Sara Malacarne, Erlend Aune |
| 2023 | USIM Gate: UpSampling Module for Segmenting Precise Boundaries concerning Entropy. | Kyungsu Lee, Haeyun Lee, Jae Youn Hwang |
| 2023 | Deep Joint Source-Channel Coding with Iterative Source Error Correction. | Changwoo Lee, Xiao Hu, Hun-Seok Kim |
| 2023 | Exact Gradient Computation for Spiking Neural Networks via Forward Propagation. | Jane H. Lee, Saeid Haghighatshoar, Amin Karbasi |
| 2023 | ASkewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks. | Louis Leconte, Sholom Schechtman, Eric Moulines |
| 2023 | Coordinate Descent for SLOPE. | Johan Larsson, Quentin Klopfenstein, Mathurin Massias, Jonas Wallin |
| 2023 | A Novel Stochastic Gradient Descent Algorithm for Learning Principal Subspaces. | Charline Le Lan, Joshua Greaves, Jesse Farebrother, Mark Rowland, Fabian Pedregosa, Rishabh Agarwal, Marc G. Bellemare |
| 2023 | Robust Variational Autoencoding with Wasserstein Penalty for Novelty Detection. | Chieh-Hsin Lai, Dongmian Zou, Gilad Lerman |
| 2023 | An Homogeneous Unbalanced Regularized Optimal Transport Model with Applications to Optimal Transport with Boundary. | Tho Lacombe |
| 2023 | Estimating Conditional Average Treatment Effects with Missing Treatment Information. | Milan Kuzmanovic, Tobias Hatt, Stefan Feuerriegel |
| 2023 | Particle algorithms for maximum likelihood training of latent variable models. | Juan Kuntz, Jen Ning Lim, Adam M. Johansen |
| 2023 | Meta-learning for Robust Anomaly Detection. | Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi, Yasuhiro Fujiwara |
| 2023 | Stochastic Tree Ensembles for Estimating Heterogeneous Effects. | Nikolay Krantsevich, Jingyu He, P. Richard Hahn |
| 2023 | Differentiable Change-point Detection With Temporal Point Processes. | Paramita Koley, Harshavardhan Alimi, Shrey Singla, Sourangshu Bhattacharya, Niloy Ganguly, Abir De |
| 2023 | MARS: Masked Automatic Ranks Selection in Tensor Decompositions. | Maxim Kodryan, Dmitry Kropotov, Dmitry P. Vetrov |
| 2023 | Positional Encoder Graph Neural Networks for Geographic Data. | Konstantin Klemmer, Nathan S. Safir, Daniel B. Neill |