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Svetha Venkatesh

19 papers at tracked venues · 7 at CORE A* · active 2024–2026

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Venues

ICDM ×3AAAI ×2AAMAS ×2ACL ×2ECAI ×2ECML-PKDD ×2IJCAI ×2NeurIPS ×2ICLR ×1WACV ×1

Frequent coauthors

Dai Do
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Hung Le
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Dung Nguyen
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Ragja Palakkadavath
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Phuoc Nguyen
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Alistair Shilton
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Quoc Phong Nguyen
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A. V. Arun Kumar
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Dang Nguyen
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Kien Do
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Minh Hoang Nguyen
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Papers

  1. SPaCe: Unlocking Sample-Efficient Large Language Models Training With Self-Pace Curriculum Learning
    ACL 2026 ·
    Van Dai Do
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  2. Dynamic Steering With Episodic Memory For Large Language Models
    ACL 2025 ·
    Van Dai Do
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  3. Fair Domain Generalization with Heterogeneous Sensitive Attributes Across Domains
    WACV 2025 ·
    Ragja Palakkadavath
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  4. Federated Domain Generalization with Latent Space Inversion
    ICDM 2025 ·
    Ragja Palakkadavath
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  5. Multi-Reference Preference Optimization for Large Language Models
    AAAI 2025 ·
    Hung Le
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  6. Navigating Social Dilemmas with LLM-based Agents via Consideration of Future Consequences
    AAMAS 2025 ·
    Dung Nguyen
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  7. Navigating Social Dilemmas with LLM-based Agents via Consideration of Future Consequences
    IJCAI 2025 ·
    Dung Nguyen
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  8. Reproducing Kernel Banach Space Models for Neural Networks with Application to Rademacher Complexity Analysis
    NeurIPS 2025 ·
    Alistair Shilton
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  9. Score-Based Integrated Gradient for Root Cause Explanations of Outliers
    ICDM 2025 ·
    Phuoc Nguyen
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  10. Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning
    ICLR 2025 ·
    Hung Le
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  11. Active Set Ordering
    NeurIPS 2024 ·
    Quoc Phong Nguyen
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  12. Beyond Surprise: Improving Exploration Through Surprise Novelty
    AAMAS 2024 ·
    Hung Le
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  13. Diversifying Training Pool Predictability for Zero-shot Coordination: A Theory of Mind Approach
    IJCAI 2024 ·
    Dung Nguyen
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  14. Enhanced Bayesian Optimization via Preferential Modeling of Abstract Properties
    ECML-PKDD 2024 ·
    A. V. Arun Kumar
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  15. Generating Realistic Tabular Data with Large Language Models
    ICDM 2024 ·
    Dang Nguyen
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  16. Large Language Model Prompting with Episodic Memory
    ECAI 2024 ·
    Dai Do
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  17. Revisiting the Dataset Bias Problem from a Statistical Perspective
    ECAI 2024 ·
    Kien Do
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  18. Root Cause Explanation of Outliers under Noisy Mechanisms
    AAAI 2024 ·
    Phuoc Nguyen
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  19. Variable-Agnostic Causal Exploration for Reinforcement Learning
    ECML-PKDD 2024 ·
    Minh Hoang Nguyen
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