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arxiv.org
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AgentCAT: An LLM Agent for Extracting and Analyzing Catalytic Reaction Data from Chemical Engineering Literature.
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arxiv.org
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Model Specific Task Similarity for Vision Language Model Selection via Layer Conductance.
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arxiv.org
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Demystifying Design Choices of Reinforcement Fine-tuning: A Batched Contextual Bandit Learning Perspective.
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arxiv.org
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Rethinking Reinforcement Fine-tuning of LLMs: A Multi-armed Bandit Learning Perspective.
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arxiv.org
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LLM Cache Bandit Revisited: Addressing Query Heterogeneity for Cost-Effective LLM Inference.
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arxiv.org
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Advancing and Benchmarking Personalized Tool Invocation for LLMs.
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M2-MFP: A Multi-Scale and Multi-Level Memory Failure Prediction Framework for ReliableCloud Infrastructure
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aclanthology.org
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Exploring the Choice Behavior of Large Language Models
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Conflict-Buffering Optimization by Symmetry Teleportation for Deep Long-Tailed Recognition
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openreview.net
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Multi-play Multi-armed Bandits with Shareable Arm Capacities Revisited: Settling Scarce Capacity
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Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users
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ijcai.org
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Adaptive Order Q-learning
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aclanthology.org
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Understanding and Patching Compositional Reasoning in LLMs
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Investigating User Popularity Preference Differences for Long-term Fairness on Interactive Recommendation: A Hierarchical Reinforcement Learning Approach
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False Negative Sample Aware Negative Sampling for Recommendation
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A Thompson Sampling Approach to User-Centric Selection Problems
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Contextual Bandit with Herding Effects: Algorithms and Recommendation Applications
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Achieving Group Fairness under Erroneous Pseudo-Labels of Sensitive Attributes
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proceedings.neurips.cc
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Uncertainty-Aware Instance Reweighting for Off-Policy Learning
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Towards Long-term Fairness in Interactive Recommendation: A Maximum Entropy Reinforcement Learning Approach
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CGCCMR: An Enhanced Multi-gate Model for Cross-Market Recommendation
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A Multi-player MAB Approach for Distributed Selection Problems
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A Thompson Sampling Approach to Unifying Causal Inference and Bandit Learning
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Interactive Log Parsing via Light-weight Feedback
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A Predictive Coding Approach to Multivariate Time Series Anomaly Detection
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ieeexplore.ieee.org
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Variance-Adaptive Algorithm for Probabilistic Maximum Coverage Bandits with General Feedback.
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computer.org
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Reposting Service in Online Social Networks: Modeling and Online Incentive Protocols.
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proceedings.mlr.press
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Multiple-Play Stochastic Bandits with Shareable Finite-Capacity Arms.
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ijcai.org
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Multi-Player Multi-Armed Bandits with Finite Shareable Resources Arms: Learning Algorithms & Applications.
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ojs.aaai.org
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An Online Learning Approach to Sequential User-centric Selection Problems.
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ieeexplore.ieee.org
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A Robust Algorithm to Unifying Offline Causal Inference and Online Multi-armed Bandit Learning.
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dl.acm.org
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Quantifying Assimilate-Contrast Effects in Online Rating Systems: Modeling, Analysis and Application.
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ojs.aaai.org
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Robust Contextual Bandits via Bootstrapping.
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dl.acm.org
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Unifying Offline Causal Inference and Online Bandit Learning for Data Driven Decision.
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ieeexplore.ieee.org
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A Bootstrapping Approach to Optimize Random Walk Based Statistical Estimation over Graphs.
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dl.acm.org
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Pricing Social Visibility Service in Online Social Networks: Modeling and Algorithms.
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ieeexplore.ieee.org
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Social Visibility Optimization in OSNs with Anonymity Guarantees: Modeling, Algorithms and Applications.
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Heterogeneous Information Assisted Bandit Learning: Theory and Application.
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ieeexplore.ieee.org
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``Optimizing Mixture Importance Sampling Via Online Learning: Algorithms and Applications. ''
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usenix.org
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``GraphWalker: An I/O-Efficient and Resource-Friendly Graph Analytic System for Fast and Scalable Random Walks. ''
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dl.acm.org
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``Conversational Contextual Bandits: Algorithm and Application.''
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``Robust Product Rating Rules Against Herding Effects: Theory and Applications.''
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ieeexplore.ieee.org
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``To Be or Not To Be: Analyzing & Modeling Social Recommendation in Online Social Networks.''
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``Walking with Perception: Efficient Random Walk Sampling via Common Neighbor Awareness.''
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``Understanding Persuasion Cascades in Online Product Rating Systems. ''
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wvvw.aaai.org
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``Optimizing Discount & Reputation Trade-offs in E-commerce Systems:
Characterization and Online Learning. ''
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ijcai.org
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``Modeling the AssimilationContrast
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ieeexplore.ieee.org
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``Sybil Detection in Social-Activity Networks:
Modeling, Algorithms and Evaluations. ''
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``Quantifying Deployability & Evolvability of Future Internet Architectures via Economic Models. ''
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sigmetrics.org
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``A Markov Decision Process Approach to Analyze Discount
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Mining Customer Valuations to Optimize Bundling Strategy.
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``Measuring and Maximizing Influence via Random Walk in Social Activity Networks.''
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``Generalization of Information Spreading Forensics via Sequential Dependent Snapshots.''
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``Trading Discount for Reputation? On the Design and Analysis
of E-Commerce Discount Mechanisms..''
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``A Data Driven Approach to Uncover Deficiencies in Online Reputation Systems.''
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``Modeling eBay-Like Reputation Systems: Analysis, Characterization
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``Incentive and Reputation Mechanisms for Online Crowdsourcing Systems.''
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``A Mechanism Approach to Reduce the Ramp Up Time in eBay like
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``Mathematical Modeling of Crowdsourcing Systems:
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``Incentive Mechanism and Protocol Design for Crowdsourcing Systems.''
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``Modeling crowdsourcing systems: design and analysis of incentive
mechanism and rating system.''
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``A Provable Algorithmic Approach to Product Selection
Problems for Market Entry and Sustainability.''
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`` Cross-Domain Semantic Transfer for Domain Generalization.''
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ieeexplore.ieee.org
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`` Variance-Aware Bandit Framework for Dynamic Probabilistic Maximum Coverage Problem with Triggered or Self-Reliant Arms.''
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link.springer.com
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`` Invariant Representation Learning via Decoupling Style and Spurious Features.''
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dl.acm.org
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`` Online Incentive Protocol Design for Reposting Service in Online Social Networks.''
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``A Meta-learning Approach to Mitigating the Estimation Bias of Q-learning.''
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``Adaptive Moving Average Q-learning.''
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dl.acm.org
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``Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach.''
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ieeexplore.ieee.org
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``Probabilistic Modeling of Assimilate-ContrastEffects in Online Rating Systems.''
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``Asynchronous SGD with Stale Gradient Dynamic Adjustment for Deep Learning Training.''
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``Maximum Entropy Policy for Long-term Fairness in Interactive Recommender Systems.''
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ieeexplore.ieee.org
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``Reinforcement Learning with Adaptive Policy Gradient Transfer Across Heterogeneous Problems.''
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sciencedirect.com
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``Robust and Efficient Algorithms for Conversational Contextual Bandit.''
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sciencedirect.com
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``Q-learning with Heterogeneous Update Strategy.''
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ieeexplore.ieee.org
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``Analyzing Queueing Problems via Bandits with Linear Reward & Nonlinear Workload Fairness.''
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ieeexplore.ieee.org
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``Optimizing Random Walk Based Statistical Estimation over Graphs via Bootstrapping.''
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ieeexplore.ieee.org
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``Common Neighbors Matter: Fast Random Walk Sampling with Common Neighbor Awareness.''
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ieeexplore.ieee.org
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``Cooperation Preference Aware Shapley Value: Modeling, Algorithms and Applications.''
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ieeexplore.ieee.org
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``A Multiplier Bootstrap Approach to Designing Robust Algorithms for Contextual Bandits.''
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ieeexplore.ieee.org
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``Generalized Contextual Bandits With Latent Features: Algorithms and Applications.''
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sciencedirect.com
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``Efficient Algorithms for Multi-armed Bandits with Additional Feedbacks: Modeling and Algorithms.''
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ieeexplore.ieee.org
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``Pricing Social Visibility Service in Online Social Networks: Modeling and Algorithms.''
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ieeexplore.ieee.org
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``Enhancing Sybil Detection via Social-Activity Networks: A Random Walk Approach.''
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sciencedirect.com
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``Optimizing Recommendations under Abandonment Risks: Models and Algorithms.''
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ieeexplore.ieee.org
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``Online Zero-Cost Learning: Optimizing Large Scale Network Rare Threats Simulation.''
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ieeexplore.ieee.org
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``Quantifying Worker Reliability for Crowdsensing Applications: Robust Feedback Rating & Convergence.''
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ieeexplore.ieee.org
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``A Reinforcement Learning Approach to Price Cloud Resources with Provable Convergence Guarantees.''
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dl.acm.org
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``Towards Fast and Scalable Random Walks over Disk-Resident Graphs via Efficient I/O Management.''
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dl.acm.org
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``Taxi-Passenger's Destination Prediction via GPS Embedding and Attention-Based BiLSTM Model.''
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ieeexplore.ieee.org
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``Optimizing Social Visibility in OSNs with Anonymity Guarantees: Efficient Algorithms and Applications.''
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dl.acm.org
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``Improving Bandit Learning via Heterogeneous Information Networks: Algorithms and Applications.''
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ieeexplore.ieee.org
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``Rewarding Social Recommendation in OSNs: Empirical Evidences, Modeling and Optimizations.''
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link.springer.com
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``Understanding and visualizing passengers' travel behaviours: a device-free sensing way leveraging taxi trajectory data.''
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link.springer.com
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``Betweenness centrality-based community adaptive network representation for link prediction.''
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journalofcloudcomputing.springeropen.com
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``A novel vehicular task deployment method in hybrid MEC.''
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dl.acm.org
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``On Modeling Influence Maximization in Social Activity Networks under General Settings.''
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dl.acm.org
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``Understanding Persuasion Cascades in Online Product Rating Systems: Modeling, Analysis and Inference.''
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dl.acm.org
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``A Reinforcement Learning Approach to Optimize Discount & Reputation Trade-offs in E-commerce Systems.''
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ieeexplore.ieee.org
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``Quantifying Deployability & Evolvability of Future Internet Architectures via Economic Models.''
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