Prediction

A Perfectly Truthful Calibration Measure COLT 2026 DVLA: Dynamic VM Lifetime Aware Scheduling for Drifting Lifetime Distributions and Long-Lived VM Placement Debt (Operational Systems) OSDI 2026 Efficient Swap Multicalibration of Elicitable Properties COLT 2026 Enhancing the Knowledge Tracing via a Plug-In Guided Diffusion Model AAAI 2026 Learning Conditional Averages COLT 2026 TurboTest: Learning When Less is Enough through Early Termination of Internet Speed Tests NSDI 2026 Universality of conformal prediction under the assumption of randomness ALT 2026 Building Conformal Prediction Intervals with Approximate Message Passing UAI 2025 Collaborative Prediction: To Join or To Disjoin Datasets UAI 2025 GraphTranslate: Predicting Clinical Trial Translation using Graph Neural Networks on Biomedical Literature ACL 2025 Guaranteed Prediction Sets for Functional Surrogate Models UAI 2025 Probabilistic Conformal Prediction with Approximate Conditional Validity ICLR 2025 Online Conversion Rate Prediction via Multi-Interval Screening and Synthesizing under Delayed Feedback AAAI 2024 ReliaAvatar: A Robust Real-Time Avatar Animator with Integrated Motion Prediction IJCAI 2024 A Benchmark for Semi-Inductive Link Prediction in Knowledge Graphs EMNLP 2023 simpleKT: A Simple But Tough-to-Beat Baseline for Knowledge Tracing ICLR 2023 The One-Inclusion Graph Algorithm is not Always Optimal COLT 2023 U-Calibration: Forecasting for an Unknown Agent COLT 2023 Efficient Conformal Prediction via Cascaded Inference with Expanded Admission ICLR 2021 Predictive Analytics for COVID-19 Social Distancing IJCAI 2021 Uplift Modeling with High Class Imbalance ACML 2021 Active Local Learning COLT 2020 Dynamic Traffic Modeling From Overhead Imagery CVPR 2020 Predicting Choice with Set-Dependent Aggregation ICML 2020 Predicting Clinical Trial Results by Implicit Evidence Integration EMNLP 2020