Nevmyvaka, Yuriy

29 publications

ICLR 2026 Improving Reasoning for Diffusion Language Models via Group Diffusion Policy Optimization Kevin Rojas, Jiahe Lin, Kashif Rasul, Anderson Schneider, Yuriy Nevmyvaka, Molei Tao, Wei Deng

ICLR 2026 Understanding the Mixture-of-Experts with Nadaraya-Watson Kernel Chuanyang Zheng, Jiankai Sun, Yihang Gao, Enze Xie, Yuehao Wang, Peihao Wang, Ting Xu, Matthew Chang, Liliang Ren, Jingyao Li, Jing Xiong, Kashif Rasul, Mac Schwager, Anderson Schneider, Zhangyang Wang, Yuriy Nevmyvaka

ICML 2025 Breaking the $n^1.5$ Additive Error Barrier for Private and Efficient Graph Sparsification via Private Expander Decomposition Anders Aamand, Justin Y. Chen, Mina Dalirrooyfard, Slobodan Mitrović, Yuriy Nevmyvaka, Sandeep Silwal, Yinzhan Xu

NeurIPS 2025 Differentially Private Gomory-Hu Trees Anders Aamand, Justin Y. Chen, Mina Dalirrooyfard, Slobodan Mitrović, Yuriy Nevmyvaka, Sandeep Silwal, Yinzhan Xu

ICML 2025 Privacy Amplification by Structured Subsampling for Deep Differentially Private Time Series Forecasting Jan Schuchardt, Mina Dalirrooyfard, Jed Guzelkabaagac, Anderson Schneider, Yuriy Nevmyvaka, Stephan Günnemann

TMLR 2025 Reweighting Improves Conditional Risk Bounds Yikai Zhang, Jiahe Lin, Fengpei Li, Songzhu Zheng, Anant Raj, Anderson Schneider, Yuriy Nevmyvaka

ICLRW 2025 Scaling Laws and Efficient Inference for Ternary Language Models Tejas Vaidhya, Ayush Kaushal, Vineet Jain, Francis Couture-Harpin, Prashant Shishodia, Majid Behbahani, Irina Rish, Yuriy Nevmyvaka

NeurIPS 2025 TS-RAG: Retrieval-Augmented Generation Based Time Series Foundation Models Are Stronger Zero-Shot Forecaster Kanghui Ning, Zijie Pan, Yu Liu, Yushan Jiang, James Y. Zhang, Kashif Rasul, Anderson Schneider, Lintao Ma, Yuriy Nevmyvaka, Dongjin Song

AISTATS 2025 Variational Schrödinger Momentum Diffusion Kevin Rojas, Yixin Tan, Molei Tao, Yuriy Nevmyvaka, Wei Deng

ICML 2024 $S^2$IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting Zijie Pan, Yushan Jiang, Sahil Garg, Anderson Schneider, Yuriy Nevmyvaka, Dongjin Song

IJCAI 2024 Empowering Time Series Analysis with Large Language Models: A Survey Yushan Jiang, Zijie Pan, Xikun Zhang, Sahil Garg, Anderson Schneider, Yuriy Nevmyvaka, Dongjin Song

AISTATS 2024 Graph Partitioning with a Move Budget Mina Dalirrooyfard, Elaheh Fata, Majid Behbahani, Yuriy Nevmyvaka

TMLR 2024 Learning to Abstain from Uninformative Data Yikai Zhang, Songzhu Zheng, Mina Dalirrooyfard, Pengxiang Wu, Anderson Schneider, Anant Raj, Yuriy Nevmyvaka, Chao Chen

ICLR 2024 VQ-TR: Vector Quantized Attention for Time Series Forecasting Kashif Rasul, Andrew Bennett, Pablo Vicente, Umang Gupta, Hena Ghonia, Anderson Schneider, Yuriy Nevmyvaka

ICML 2024 Variational Schrödinger Diffusion Models Wei Deng, Weijian Luo, Yixin Tan, Marin Biloš, Yu Chen, Yuriy Nevmyvaka, Ricky T. Q. Chen

UAI 2023 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

UAI 2023 In- or Out-of-Distribution Detection via Dual Divergence Estimation Sahil Garg, Sanghamitra Dutta, Mina Dalirrooyfard, Anderson Schneider, Yuriy Nevmyvaka

UAI 2023 Information Theoretic Clustering via Divergence Maximization Among Clusters Sahil Garg, Mina Dalirrooyfard, Anderson Schneider, Yeshaya Adler, Yuriy Nevmyvaka, Yu Chen, Fengpei Li, Guillermo Cecchi

NeurIPSW 2023 Lag-Llama: Towards Foundation Models for Time Series Forecasting Kashif Rasul, Arjun Ashok, Andrew Robert Williams, Arian Khorasani, George Adamopoulos, Rishika Bhagwatkar, Marin Biloš, Hena Ghonia, Nadhir Hassen, Anderson Schneider, Sahil Garg, Alexandre Drouin, Nicolas Chapados, Yuriy Nevmyvaka, Irina Rish

ICML 2023 Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion Marin Biloš, Kashif Rasul, Anderson Schneider, Yuriy Nevmyvaka, Stephan Günnemann

NeurIPS 2023 Nearly Tight Bounds for Differentially Private Multiway Cut Mina Dalirrooyfard, Slobodan Mitrovic, Yuriy Nevmyvaka

ICLRW 2023 On the Existence of a Trojaned Twin Model Songzhu Zheng, Yikai Zhang, Lu Pang, Weimin Lyu, Mayank Goswami, Anderson Schneider, Yuriy Nevmyvaka, Haibin Ling, Chao Chen

ICML 2023 Provably Convergent Schrödinger 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

AISTATS 2023 Risk Bounds on Aleatoric Uncertainty Recovery Yikai Zhang, Jiahe Lin, Fengpei Li, Yeshaya Adler, Kashif Rasul, Anderson Schneider, Yuriy Nevmyvaka

UAI 2022 Estimating Transfer Entropy Under Long Ranged Dependencies Sahil Garg, Umang Gupta, Yu Chen, Syamantak Datta Gupta, Yeshaya Adler, Anderson Schneider, Yuriy Nevmyvaka

NeurIPSW 2022 Modeling Temporal Data as Continuous Functions with Process Diffusion Marin Biloš, Kashif Rasul, Anderson Schneider, Yuriy Nevmyvaka, Stephan Günnemann

ICML 2014 Pursuit-Evasion Without Regret, with an Application to Trading Lili Dworkin, Michael Kearns, Yuriy Nevmyvaka

UAI 2009 Censored Exploration and the Dark Pool Problem Kuzman Ganchev, Michael J. Kearns, Yuriy Nevmyvaka, Jennifer Wortman Vaughan

ICML 2006 Reinforcement Learning for Optimized Trade Execution Yuriy Nevmyvaka, Yi Feng, Michael J. Kearns