KDD 2023 - Adversarial Constrained Bidding via Minimax Regret Optimization

KDD 2023 - Adversarial Constrained Bidding via Minimax Regret Optimization

KDD 2023 - Joint Optimization of Ranking and Calibration with Contextualized Hybrid ModelПодробнее

KDD 2023 - Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model

KDD 2023 - An Optimization Approach for Fast Interpretable Rule ExtractionПодробнее

KDD 2023 - An Optimization Approach for Fast Interpretable Rule Extraction

KDD 2023 -A Multistage Framework for Online Bonus Allocation Based Constrained User Intent DetectionПодробнее

KDD 2023 -A Multistage Framework for Online Bonus Allocation Based Constrained User Intent Detection

KDD 2023 DGI: An Easy and Efficient Framework for GNN Model EvaluationПодробнее

KDD 2023 DGI: An Easy and Efficient Framework for GNN Model Evaluation

KDD 2023 - Multi-Label Learning to Rank through Multi-Objective OptimizationПодробнее

KDD 2023 - Multi-Label Learning to Rank through Multi-Objective Optimization

KDD 2023 Optimal policy for selecting seed nodes for maximizing the cumulative spread of informationПодробнее

KDD 2023 Optimal policy for selecting seed nodes for maximizing the cumulative spread of information

KDD 2023 - Deep Offline Reinforcement Learning for Real-world Treatment Optimization ApplicationsПодробнее

KDD 2023 - Deep Offline Reinforcement Learning for Real-world Treatment Optimization Applications

KDD 2023 - Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial TrainingПодробнее

KDD 2023 - Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial Training

KDD 2023 - Doubly Robust AUC Optimization against Noisy and Adversarial SamplesПодробнее

KDD 2023 - Doubly Robust AUC Optimization against Noisy and Adversarial Samples

KDD2023 - Querywise Fair Learning to Rank through Multi-Objective OptimizationПодробнее

KDD2023 - Querywise Fair Learning to Rank through Multi-Objective Optimization

KDD 2023 - Temporal Dynamics Aware Adversarial Attacks for Discrete Time Dynamic GraphsПодробнее

KDD 2023 - Temporal Dynamics Aware Adversarial Attacks for Discrete Time Dynamic Graphs

KDD 2023 - Unifying Aspect Planning, Lexical COnstraints Generating Explanations in RecommendationПодробнее

KDD 2023 - Unifying Aspect Planning, Lexical COnstraints Generating Explanations in Recommendation

KDD 2023 - Planning to Fairly Allocate: Probabilistic Fairness in the Restless Bandit SettingПодробнее

KDD 2023 - Planning to Fairly Allocate: Probabilistic Fairness in the Restless Bandit Setting

KDD 2023 - Balancing Approach for Casual Inference at ScaleПодробнее

KDD 2023 - Balancing Approach for Casual Inference at Scale

KDD 2023 - Path-Specific Counterfactual Fairness for Recommender SystemsПодробнее

KDD 2023 - Path-Specific Counterfactual Fairness for Recommender Systems

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Мы проиграли ИСКУСТВЕННОМУ ИНТЕЛЛЕКТУ?

KDD 2023 - Impatient Bandits: Optimizing Recommendations for the Long-Term Without DelayПодробнее

KDD 2023 - Impatient Bandits: Optimizing Recommendations for the Long-Term Without Delay

KDD 2023 - Capturing Conversion Rate Fluctuation during Sales PromotionsПодробнее

KDD 2023 - Capturing Conversion Rate Fluctuation during Sales Promotions