Diego Klabjan
22 papers · 2017–2026 · 10 conferences · across top CS/AI conferences
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AISTATS (3)
EMNLP (3)
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IJCAI (1)
IJCNLP (1)
UAI (1)
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Keywords
large language model
(3)
zero-shot learning
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regret bound
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deep neural network
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prompt engineering
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multi-armed bandit
(2)
bayesian optimization
(2)
multi-agent system
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sequential decision making
(1)
principal component analysis
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neural network pruning
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open-set classification
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federated learning
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independent component analysis
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fenchel duality
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stochastic optimization
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decentralized optimization
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privacy preservation
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model aggregation
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game theory
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Papers
PromptFE: Automated Feature Engineering by Prompting
EACL 2026
A Mirror Descent Perspective of Smoothed Sign Descent
UAI 2025
Differentiable Calibration of Inexact Stochastic Simulation Models via Kernel Score Minimization
AISTATS 2025
Multi-agent Multi-armed Bandit Regret Complexity and Optimality
AISTATS 2025
Reverse Prompt Engineering: A Zero-Shot, Genetic Algorithm Approach to Language Model Inversion
EMNLP 2025
Zero-shot Graph Reasoning via Retrieval Augmented Framework with LLMs
EMNLP 2025
SOPL: A Sequential Optimal Learning Approach to Automated Prompt Engineering in Large Language Models
EMNLP 2025
IW-GAE: Importance weighted group accuracy estimation for improved calibration and model selection in unsupervised domain adaptation
ICML 2024
A Primal-Dual Algorithm for Hybrid Federated Learning
AAAI 2024
Improving self-training under distribution shifts via anchored confidence with theoretical guarantees
NIPS 2024
On the Second-Order Convergence of Biased Policy Gradient Algorithms
ICML 2024
Pareto Regret Analyses in Multi-objective Multi-armed Bandit
ICML 2023
Scale Invariant Power Iteration
JMLR 2023
Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards
NIPS 2023
Open-Set Recognition with Gaussian Mixture Variational Autoencoders
AAAI 2021
A Probabilistic Approach to Neural Network Pruning
ICML 2021
k-Nearest Neighbors by Means of Sequence to Sequence Deep Neural Networks and Memory Networks
IJCAI 2021
Stochastic Variance-Reduced Algorithms for PCA with Arbitrary Mini-Batch Sizes
AISTATS 2020
Competitive Multi-agent Inverse Reinforcement Learning with Sub-optimal Demonstrations
ICML 2018
Bayesian Network Learning via Topological Order
JMLR 2017
Semantic Document Distance Measures and Unsupervised Document Revision Detection
IJCNLP 2017
Improving the Expected Improvement Algorithm
NIPS 2017