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[{"tag": ["ABTest"], "name": "Overlapping Experiment Infrastructure - More, Better, Faster Experimentation", "category": "ABTest", "authors": ["Diane Tang", "Ashish Agarwal", "Deirdre O'Brein", "Mike Meyer"], "company": "", "url": "https://github.com/tangxyw/RecSysPapers/blob/main/ABTest/Overlapping Experiment Infrastructure - More, Better, Faster Experimentation.pdf", "year": 1900, "id": 0}, {"tag": ["Calibration"], "name": "Attended Temperature Scaling - A Practical Approach for Calibrating Deep Neural Networks", "category": "Calibration", "authors": [], "company": "", "url": "https://github.com/tangxyw/RecSysPapers/blob/main/Calibration/Attended Temperature Scaling - A Practical Approach for Calibrating Deep Neural Networks.pdf", "year": 1900, "id": 1}, {"tag": ["Calibration"], "name": "Beta calibration - a well-founded and easily implemented improvement on logistic calibration for binary classifiers", "category": "Calibration", "authors": [], "company": "", "url": "https://github.com/tangxyw/RecSysPapers/blob/main/Calibration/Beta calibration - a well-founded and easily implemented improvement on logistic calibration for binary classifiers.pdf", "year": 1900, "id": 2}, {"tag": ["Calibration"], "name": "Beyond temperature scaling - Obtaining well-calibrated multiclass probabilities with Dirichlet calibration", "category": "Calibration", "authors": [], "company": "", "url": "https://github.com/tangxyw/RecSysPapers/blob/main/Calibration/Beyond temperature scaling - Obtaining well-calibrated multiclass probabilities with Dirichlet calibration.pdf", "year": 1900, "id": 3}, {"tag": ["Calibration"], "name": "Calibrated Recommendations", "category": "Calibration", "authors": [], "company": "", "url": "https://github.com/tangxyw/RecSysPapers/blob/main/Calibration/Calibrated Recommendations.pdf", "year": 1900, "id": 4}, {"tag": ["Calibration"], "name": "Calibrating User Response Predictions in Online Advertising", "category": "Calibration", "authors": [], "company": "", "url": "https://github.com/tangxyw/RecSysPapers/blob/main/Calibration/Calibrating User Response Predictions in Online Advertising.pdf", "year": 1900, "id": 5}, {"tag": ["Calibration"], "name": "CALIBRATION OF NEURAL NETWORKS USING SPLINES", "category": "Calibration", "authors": [], "company": "", "url": "https://github.com/tangxyw/RecSysPapers/blob/main/Calibration/CALIBRATION OF NEURAL NETWORKS USING SPLINES.pdf", "year": 1900, "id": 6}, {"tag": ["Calibration"], "name": "Crank up the volume - 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