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Teodor Vanislavov Marinov

14 papers · 2017–2026 · 5 venues · across top CS/AI venues

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Achievements

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+3 more ↓ πŸ—ΊοΈ Taxonomy Completionist (22) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird
🧬 Topic Evolution πŸ—ƒοΈ Keyword Collector (64) πŸ’Ž Century Club Β· Bronze

Venues

NeurIPS (8) ALT (2) ICML (2) AISTATS (1) COLT (1)

Top co-authors

Raman Arora (7) Mehryar Mohri (7) Julian Zimmert (5) Poorya Mianjy (3) Alekh Agarwal (2) Christoph Dann (2) Michael Dinitz (1) Manfred K. Warmuth (1) Enayat Ullah (1) Nati Srebro (1)

Research topics

Machine Learning (13) Optimization & Theory (13) Mathematics & Optimization (6) Learning Types (6) Optimization (6) Core Methods (4) Artificial Intelligence (3) Reinforcement Learning (2) Core AI (2) Methods (2) Natural Language Processing (1) Learning Paradigms (1) Resources & Methods (1)

Keywords

regret bound (6) feedback graph (3) online learning (3) principal component analysis (3) multi-armed bandit (3) streaming algorithm (3) asymptotic optimality (2) game theory (1) outlier detection (1) reinforcement learning (1) sample complexity (1) kernel pca (1) value function (1) convex relaxation (1) in-context learning (1) model selection (1) stochastic process (1) stochastic approximation (1) sparse linear regression (1) matrix factorization (1)

Papers

Efficient Opportunistic Approachability ALT 2026 Design Considerations in Offline Preference-based RL ICML 2025 A Mechanism for Sample-Efficient In-Context Learning for Sparse Retrieval Tasks ALT 2024 Open Problem: Finite-Time Instance Dependent Optimality for Stochastic Online Learning with Feedback Graphs COLT 2022 Stochastic Online Learning with Feedback Graphs: Finite-Time and Asymptotic Optimality NeurIPS 2022 Beyond Value-Function Gaps: Improved Instance-Dependent Regret Bounds for Episodic Reinforcement Learning NeurIPS 2021 Corralling Stochastic Bandit Algorithms AISTATS 2021 The Pareto Frontier of model selection for general Contextual Bandits NeurIPS 2021 Bandits with Feedback Graphs and Switching Costs NeurIPS 2019 Efficient Convex Relaxations for Streaming PCA NeurIPS 2019 Policy Regret in Repeated Games NeurIPS 2018 Streaming Kernel PCA with OΜƒ(√n) Random Features NeurIPS 2018 Streaming Principal Component Analysis in Noisy Setting ICML 2018 Stochastic Approximation for Canonical Correlation Analysis NeurIPS 2017