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S2IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting.

Z. Pan, Y. Jiang, S. Garg, A. Schneider, Y. Nevmyvaka, and D. Song. ICML, OpenReview.net, (2024)

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Yuriy Skrinsky

Yuriy Maystrenko

Yuriy Mokrousov

Yuriy Dedkov

Yuriy Tsepkovskiy

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Pursuit-Evasion Without Regret, with an Application to Trading.L. Dworkin, M. Kearns, and Y. Nevmyvaka. ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 1521-1529. JMLR.org, (2014)A Practical Markov Chain Monte Carlo Approach to Decision Problems.T. Huang, and Y. Nevmyvaka. FLAIRS, page 520-524. AAAI Press, (2001)VQ-TR: Vector Quantized Attention for Time Series Forecasting.K. Rasul, A. Bennett, P. Vicente, U. Gupta, H. Ghonia, A. Schneider, and Y. Nevmyvaka. ICLR, OpenReview.net, (2024)Information theoretic clustering via divergence maximization among clusters.S. Garg, M. Dalirrooyfard, A. Schneider, Y. Adler, Y. Nevmyvaka, Y. Chen, F. Li, and G. Cecchi. UAI, volume 216 of Proceedings of Machine Learning Research, page 624-634. PMLR, (2023)Censored Exploration and the Dark Pool Problem.K. Ganchev, M. Kearns, Y. Nevmyvaka, and J. Vaughan. UAI, page 185-194. AUAI Press, (2009)Variational Schrödinger Diffusion Models.W. Deng, W. Luo, Y. Tan, M. Bilos, Y. Chen, Y. Nevmyvaka, and R. Chen. ICML, OpenReview.net, (2024)Reinforcement learning for optimized trade execution.Y. Nevmyvaka, Y. Feng, and M. Kearns. ICML, volume 148 of ACM International Conference Proceeding Series, page 673-680. ACM, (2006)Estimating transfer entropy under long ranged dependencies.S. Garg, U. Gupta, Y. Chen, S. Gupta, Y. Adler, A. Schneider, and Y. Nevmyvaka. UAI, volume 180 of Proceedings of Machine Learning Research, page 685-695. PMLR, (2022)Graph Partitioning with a Move Budget.M. Dalirrooyfard, E. Fata, M. Behbahani, and Y. Nevmyvaka. AISTATS, volume 238 of Proceedings of Machine Learning Research, page 568-576. PMLR, (2024)AutoML Decathlon: Diverse Tasks, Modern Methods, and Efficiency at Scale.N. Roberts, S. Guo, C. Xu, A. Talwalkar, D. Lander, L. Tao, L. Cai, S. Niu, J. Heng, H. Qin and 17 other author(s). NeurIPS (Competition and Demos), volume 220 of Proceedings of Machine Learning Research, page 151-170. PMLR, (2021)

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Disambiguation of "Nevmyvaka, Yuriy"

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S2IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting.

Please choose a person to relate this publication to

Yuriy Skrinsky

Yuriy Maystrenko

Yuriy Mokrousov

Yuriy Dedkov

Yuriy Tsepkovskiy

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Nevmyvaka, Yuriy"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML S2IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting.

Please choose a person to relate this publication to

Yuriy Skrinsky

Yuriy Maystrenko

Yuriy Mokrousov

Yuriy Dedkov

Yuriy Tsepkovskiy

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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S2IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting.