( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning

, , , и . (2021)cite arxiv:2110.01515Comment: Accepted as a survey article in IEEE TPAMI.

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Max Paulus

Petru Joan Maxim

Bernhard Maxeiner

Helmut Maxeiner

Hugh Maxwell

 

Другие публикации лиц с тем же именем

Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs., , , , , и . NeurIPS, (2022)Learning to Predict Security Constraints for Large-Scale Unit Commitment Problems., , , и . ISGT EUROPE, стр. 1-5. IEEE, (2023)Learning to Cut by Looking Ahead: Cutting Plane Selection via Imitation Learning., , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 17584-17600. PMLR, (2022)Augment with Care: Contrastive Learning for Combinatorial Problems., , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 5627-5642. PMLR, (2022)Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator., , и . CoRR, (2020)Learning with and for discrete optimization.. ETH Zurich, Zürich, Switzerland, (2023)base-search.net (ftethz:oai:www.research-collection.ethz.ch:20.500.11850/629004).Gradient Estimation with Stochastic Softmax Tricks., , , , и . NeurIPS, (2020)A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning., , , и . CoRR, (2021)Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs., , , , , и . CoRR, (2022)Augment with Care: Contrastive Learning for the Boolean Satisfiability Problem., , , , и . CoRR, (2022)