Mojmir Mutny
17 papers · 2018–2025 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (34) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Deep Specialist
(10)
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Grand Slam
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Dynamic Duo
(17)
π§
Keyword Pioneer
π₯
Unstoppable Β· Bronze
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Keyword Collector
(94)
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Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(17)
Mathematics & Optimization
(14)
Optimization & Theory
(14)
Optimization
(13)
Learning Types
(7)
Artificial Intelligence
(4)
Reinforcement Learning
(3)
Bayesian & Probabilistic Β· Machine Learning
(3)
Core AI
(3)
Applications
(2)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Core Methods
(2)
Mathematics
(2)
Deep Learning
(1)
Application Areas
(1)
Keywords
bayesian optimization
(6)
acquisition function
(4)
gaussian process
(3)
online learning
(2)
neural network
(2)
reinforcement learning
(2)
regret bound
(2)
reproducing kernel hilbert space
(2)
determinantal point process
(2)
bilevel optimization
(2)
adaptive sensing
(2)
kernel methods
(2)
sequential decision making
(2)
markov decision process
(2)
data summarization
(2)
policy gradient
(1)
bayesian inference
(1)
model selection
(1)
game theory
(1)
convex optimization
(1)
Papers
Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design
ICLR 2025
Data Summarization via Bilevel Optimization
JMLR 2024
Submodular Reinforcement Learning
ICLR 2024
Transition Constrained Bayesian Optimization via Markov Decision Processes
NeurIPS 2024
Active Exploration via Experiment Design in Markov Chains
AISTATS 2023
Likelihood Ratio Confidence Sets for Sequential Decision Making
NeurIPS 2023
Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes
AISTATS 2022
Experimental Design for Linear Functionals in Reproducing Kernel Hilbert Spaces
NeurIPS 2022
Sensing Cox Processes via Posterior Sampling and Positive Bases
AISTATS 2022
Efficient Pure Exploration for Combinatorial Bandits with Semi-Bandit Feedback
ALT 2021
Learning Stabilizing Controllers for Unstable Linear Quadratic Regulators from a Single Trajectory
L4DC 2021
No-regret Algorithms for Capturing Events in Poisson Point Processes
ICML 2021
Convergence Analysis of Block Coordinate Algorithms with Determinantal Sampling
AISTATS 2020
Coresets via Bilevel Optimization for Continual Learning and Streaming
NeurIPS 2020
Experimental Design for Optimization of Orthogonal Projection Pursuit Models
AAAI 2020
Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces
ICML 2019
Efficient High Dimensional Bayesian Optimization with Additivity and Quadrature Fourier Features
NeurIPS 2018