Yuriy Nevmyvaka
18 papers · 2014–2025 · 7 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (40) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🏆 Keyword Champion (2)
🤝
Dynamic Duo
(11)
🗃️
Keyword Collector
(97)
⚡
Prolific Year · Productive
🌈
Renaissance Researcher
(6)
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(15)
Optimization & Theory
(9)
Deep Learning
(6)
Mathematics & Optimization
(6)
Learning Types
(5)
Models
(5)
Artificial Intelligence
(4)
Core AI
(4)
Mathematics
(4)
Data Science & Analytics
(3)
Natural Language Processing
(3)
Application Areas
(3)
Core Methods
(3)
Methods
(3)
Optimization
(3)
Keywords
time series forecasting
(3)
differentially private
(2)
large language model
(2)
probabilistic forecasting
(2)
time series
(2)
graph cut
(2)
approximation algorithm
(2)
multiway cut
(2)
variational score
(2)
online learning
(1)
kl divergence
(1)
attention mechanism
(1)
prompt learning
(1)
time series generation
(1)
image generation
(1)
differential privacy
(1)
optimal transport
(1)
vector quantization
(1)
uncertainty quantification
(1)
continual learning
(1)
Papers
Breaking the $n^1.5$ Additive Error Barrier for Private and Efficient Graph Sparsification via Private Expander Decomposition
ICML 2025
Privacy Amplification by Structured Subsampling for Deep Differentially Private Time Series Forecasting
ICML 2025
Scaling Laws and Efficient Inference for Ternary Language Models
ACL 2025
Variational Schrödinger Momentum Diffusion
AISTATS 2025
S^2IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting
ICML 2024
Empowering Time Series Analysis with Large Language Models: A Survey
IJCAI 2024
Graph Partitioning with a Move Budget
AISTATS 2024
Variational Schrödinger Diffusion Models
ICML 2024
VQ-TR: Vector Quantized Attention for Time Series Forecasting
ICLR 2024
Detection of Short-Term Temporal Dependencies in Hawkes Processes with Heterogeneous Background Dynamics
UAI 2023
Information theoretic clustering via divergence maximization among clusters
UAI 2023
In- or out-of-distribution detection via dual divergence estimation
UAI 2023
Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion
ICML 2023
Nearly Tight Bounds For Differentially Private Multiway Cut
NeurIPS 2023
Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation
ICML 2023
Risk Bounds on Aleatoric Uncertainty Recovery
AISTATS 2023
Estimating transfer entropy under long ranged dependencies
UAI 2022
Pursuit-Evasion Without Regret, with an Application to Trading
ICML 2014