Yuriy Nevmyvaka - researchr alias

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Viewing Publication 1 - 17 from 17

2023

Modeling Temporal Data as Continuous Functions with Stochastic Process DiffusionMarin Bilos, Kashif Rasul, Anderson Schneider, Yuriy Nevmyvaka, Stephan Günnemann. icml 2023: 2452-2470 [doi]

Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series ImputationYu Chen, Wei Deng, Shikai Fang, Fengpei Li, Nicole Tianjiao Yang, Yikai Zhang, Kashif Rasul, Shandian Zhe, Anderson Schneider, Yuriy Nevmyvaka. icml 2023: 4485-4513 [doi]

Detection of Short-Term Temporal Dependencies in Hawkes Processes with Heterogeneous Background DynamicsYu Chen, Fengpei Li, Anderson Schneider, Yuriy Nevmyvaka, Asohan Amarasingham, Henry Lam. uai 2023: 369-380 [doi]

Nearly Tight Bounds For Differentially Private Multiway CutMina Dalirrooyfard, Slobodan Mitrovic, Yuriy Nevmyvaka. nips 2023: [doi]

In- or out-of-distribution detection via dual divergence estimationSahil Garg, Sanghamitra Dutta, Mina Dalirrooyfard, Anderson Schneider, Yuriy Nevmyvaka. uai 2023: 635-646 [doi]

Information theoretic clustering via divergence maximization among clustersSahil Garg, Mina Dalirrooyfard, Anderson Schneider, Yeshaya Adler, Yuriy Nevmyvaka, Yu Chen, Fengpei Li, Guillermo A. Cecchi. uai 2023: 624-634 [doi]

The 9th SIGKDD International Workshop on Mining and Learning from Time SeriesSanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Cong Shen 0001, Yuriy Nevmyvaka. kdd 2023: 5876-5877 [doi]

Risk Bounds on Aleatoric Uncertainty RecoveryYikai Zhang, Jiahe Lin, Fengpei Li, Yeshaya Adler, Kashif Rasul, Anderson Schneider, Yuriy Nevmyvaka. aistats 2023: 6015-6036 [doi]

2022

2021

2014

Pursuit-Evasion Without Regret, with an Application to TradingLili Dworkin, Michael Kearns, Yuriy Nevmyvaka. icml 2014: 1521-1529 [doi]

2010

Censored exploration and the dark pool problemKuzman Ganchev, Yuriy Nevmyvaka, Michael Kearns, Jennifer Wortman Vaughan. CACM, 53(5):99-107, 2010. [doi]

2009

Censored Exploration and the Dark Pool ProblemKuzman Ganchev, Michael Kearns, Yuriy Nevmyvaka, Jennifer Wortman Vaughan. uai 2009: 185-194 [doi]

2006

Reinforcement learning for optimized trade executionYuriy Nevmyvaka, Yi Feng, Michael S. Kearns. icml 2006: 673-680 [doi]

2005

Electronic Trading in Order-Driven Markets: Efficient ExecutionYuriy Nevmyvaka, Michael S. Kearns, Amy Papandreou, Katia P. Sycara. wecwis 2005: 190-197 [doi]

2001

A Practical Markov Chain Monte Carlo Approach to Decision ProblemsTimothy Huang, Yuriy Nevmyvaka. flairs 2001: 520-524

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