Yuriy Nevmyvaka
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
27
Venues
9
Active years
2001–2026
Best venue rank
A*
Where they publish
Papers
27 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | AHA: Aligning Large Audio-Language Models for Reasoning Hallucinations via Counterfactual Hard Negatives. | Yanxi Chen, Wenhui Zhu, Xiwen Chen, Zhipeng Wang, Xin Li, Peijie Qiu, Hao Wang, Xuanzhao Dong, Yujian Xiong, Anderson Schneider, Yuriy Nevmyvaka, Yalin Wang |
| 2025 | ACL | Scaling Laws and Efficient Inference for Ternary Language Models. | Tejas Vaidhya, Ayush Kaushal, Vineet Jain, Francis Couture Harpin, Prashant Shishodia, Majid Behbahani, Yuriy Nevmyvaka, Irina Rish |
| 2025 | AISTATS | Variational Schrdinger Momentum Diffusion. | Kevin Rojas, Yixin Tan, Molei Tao, Yuriy Nevmyvaka, Wei Deng |
| 2025 | ICDM | Towards Interpretable and Trustworthy Time Series Reasoning: A BlueSky Vision. | Kanghui Ning, Zijie Pan, Yushan Jiang, Anderson Schneider, Yuriy Nevmyvaka, Dongjin Song |
| 2025 | ICML | Breaking the n1.5 Additive Error Barrier for Private and Efficient Graph Sparsification via Private Expander Decomposition. | Anders Aamand, Justin Y. Chen, Mina Dalirrooyfard, Slobodan Mitrovic, Yuriy Nevmyvaka, Sandeep Silwal, Yinzhan Xu |
| 2025 | ICML | Privacy Amplification by Structured Subsampling for Deep Differentially Private Time Series Forecasting. | Jan Schuchardt, Mina Dalirrooyfard, Jed Guzelkabaagac, Anderson Schneider, Yuriy Nevmyvaka, Stephan Gnnemann |
| 2025 | KDD | Multi-modal Time Series Analysis: A Tutorial and Survey. | Yushan Jiang, Kanghui Ning, Zijie Pan, Xuyang Shen, Jingchao Ni, Wenchao Yu, Anderson Schneider, Haifeng Chen, Yuriy Nevmyvaka, Dongjin Song |
| 2025 | KDD | The 11th Mining and Learning from Time Series (MILETS): From Classical Methods to LLMs. | Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Yuxuan Liang, Cong Shen, Stefan Zohren, Yuriy Nevmyvaka |
| 2024 | AISTATS | Graph Partitioning with a Move Budget. | Mina Dalirrooyfard, Elaheh Fata, Majid Behbahani, Yuriy Nevmyvaka |
| 2024 | ICLR | VQ-TR: Vector Quantized Attention for Time Series Forecasting. | Kashif Rasul, Andrew Bennett, Pablo Vicente, Umang Gupta, Hena Ghonia, Anderson Schneider, Yuriy Nevmyvaka |
| 2024 | ICML | Variational Schrdinger Diffusion Models. | Wei Deng, Weijian Luo, Yixin Tan, Marin Bilos, Yu Chen, Yuriy Nevmyvaka, Ricky T. Q. Chen |
| 2024 | ICML | S2IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting. | Zijie Pan, Yushan Jiang, Sahil Garg, Anderson Schneider, Yuriy Nevmyvaka, Dongjin Song |
| 2024 | IJCAI | Empowering Time Series Analysis with Large Language Models: A Survey. | Yushan Jiang, Zijie Pan, Xikun Zhang, Sahil Garg, Anderson Schneider, Yuriy Nevmyvaka, Dongjin Song |
| 2024 | KDD | The 10th Mining and Learning from Time Series Workshop: From Classical Methods to LLMs. | Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Cong Shen, Stefan Zohren, Yuriy Nevmyvaka |
| 2023 | AISTATS | Risk Bounds on Aleatoric Uncertainty Recovery. | Yikai Zhang, Jiahe Lin, Fengpei Li, Yeshaya Adler, Kashif Rasul, Anderson Schneider, Yuriy Nevmyvaka |
| 2023 | ICML | Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion. | Marin Bilos, Kashif Rasul, Anderson Schneider, Yuriy Nevmyvaka, Stephan Gnnemann |
| 2023 | ICML | Provably Convergent Schrdinger Bridge with Applications to Probabilistic Time Series Imputation. | Yu Chen, Wei Deng, Shikai Fang, Fengpei Li, Nicole Tianjiao Yang, Yikai Zhang, Kashif Rasul, Shandian Zhe, Anderson Schneider, Yuriy Nevmyvaka |
| 2023 | KDD | The 9th SIGKDD International Workshop on Mining and Learning from Time Series. | Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Cong Shen, Yuriy Nevmyvaka |
| 2023 | UAI | Detection of Short-Term Temporal Dependencies in Hawkes Processes with Heterogeneous Background Dynamics. | Yu Chen, Fengpei Li, Anderson Schneider, Yuriy Nevmyvaka, Asohan Amarasingham, Henry Lam |
| 2023 | UAI | In- or out-of-distribution detection via dual divergence estimation. | Sahil Garg, Sanghamitra Dutta, Mina Dalirrooyfard, Anderson Schneider, Yuriy Nevmyvaka |
| 2023 | UAI | Information theoretic clustering via divergence maximization among clusters. | Sahil Garg, Mina Dalirrooyfard, Anderson Schneider, Yeshaya Adler, Yuriy Nevmyvaka, Yu Chen, Fengpei Li, Guillermo A. Cecchi |
| 2022 | KDD | 8th SIGKDD International Workshop on Mining and Learning from Time Series - Deep Forecasting: Models, Interpretability, and Applications. | Sanjay Purushotham, Jun Huan, Cong Shen, Dongjin Song, Yuyang Wang, Jan Gasthaus, Hilaf Hasson, Youngsuk Park, Sungyong Seo, Yuriy Nevmyvaka |
| 2022 | UAI | Estimating transfer entropy under long ranged dependencies. | Sahil Garg, Umang Gupta, Yu Chen, Syamantak Datta Gupta, Yeshaya Adler, Anderson Schneider, Yuriy Nevmyvaka |
| 2014 | ICML | Pursuit-Evasion Without Regret, with an Application to Trading. | Lili Dworkin, Michael J. Kearns, Yuriy Nevmyvaka |
| 2009 | UAI | Censored Exploration and the Dark Pool Problem. | Kuzman Ganchev, Michael J. Kearns, Yuriy Nevmyvaka, Jennifer Wortman Vaughan |
| 2006 | ICML | Reinforcement learning for optimized trade execution. | Yuriy Nevmyvaka, Yi Feng, Michael J. Kearns |
| 2001 | FlAIRS | A Practical Markov Chain Monte Carlo Approach to Decision Problems. | Timothy Huang, Yuriy Nevmyvaka |