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Training Neural Samplers with Reverse Diffusive KL Divergence
@conference{Heetal25, title = {Training Neural Samplers with Reverse Diffusive KL Divergence}, booktitle = {Proceedings of the 28th International Conference on Artificial Intelligence and Statistics (AISTATS)}, volume = {258}, pages = {5167--5175}, series = {Proceedings of Machine Learning Research}, editors = {Li, Yingzhen and Mandt, Stephan and Agrawal, Shipra and Khan, Emtiyaz}, publisher = {PMLR}, month = may, year = {2025}, note = {*equal contribution}, author = {He*, J. and Chen*, W. and Zhang*, M. and Barber, D. and Hernández-Lobato, J. M.}, url = {https://proceedings.mlr.press/v258/he25a.html}, month_numeric = {5} }
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