Ieva Kazlauskaite
7 papers · 2019–2026 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(18)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Artificial Intelligence
(6)
Machine Learning
(5)
Bayesian & Probabilistic · Artificial Intelligence
(4)
Optimization & Theory
(3)
Data Science & Analytics
(2)
Deep Learning
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Learning Types
(2)
Methods
(2)
Models
(2)
Application Areas
(1)
Core AI
(1)
Core Methods
(1)
Learning Paradigms
(1)
Keywords
gaussian process
(5)
latent variable model
(2)
variational inference
(2)
conformal prediction
(1)
bayesian inference
(1)
uncertainty quantification
(1)
posterior distribution
(1)
temporal alignment
(1)
bayesian optimization
(1)
latent variable
(1)
inverse problem
(1)
time series alignment
(1)
physics-informed neural network
(1)
partial differential equation
(1)
surrogate model
(1)
stochastic differential equation
(1)
nonparametric prior
(1)
distribution-free guarantee
(1)
deep gaussian process
(1)
objective function
(1)
Papers
Conformal Risk Sharing: Certified Cost Allocation with Participation Guarantees
UAI 2026
Random Grid Neural Processes for Parametric Partial Differential Equations
ICML 2023
Aligned Multi-Task Gaussian Process
AISTATS 2022
Compositional uncertainty in deep Gaussian processes
UAI 2020
Modulating Surrogates for Bayesian Optimization
ICML 2020
Monotonic Gaussian Process Flows
AISTATS 2020
Gaussian Process Latent Variable Alignment Learning
AISTATS 2019