Privacy-Robust Incrementality Measurement for Advertising Systems under Signal Loss
Prashant Shekhar, Caroline Howard
https://t.co/xOZrnqTI8Y [ππππ.πΌπ» ππ.π»πΆ]
A Quantitative Approximation Framework for Flow Distillation in Diffusion Models
Weiguo Gao, Ming Li, Lei Shi, Hanfei Zhou
https://t.co/zWslBhRjUC [ππππ.πΌπ» ππ.π»πΆ]
Combining Statistical Features and Deep Encodings for Rehearsal-Based Class-Incremental Time Series Classification
Pablo GarcΓa-Santaclara, Bruno FernΓ‘ndez-Castro, Rebeca Pilar DΓaz-Redondo
https://t.co/BUAvWcmBl6 [ππππ.πΌπ» ππ.π»πΆ]
Hierarchies of Calibration: Classification meets Regression
Johannes Resin, Lu Yang, Tilmann Gneiting
https://t.co/7omLOQl7uG [ππππ.πΌπ» ππ.π»πΆ]
An Asymptotic Theory of Chain-of-Thought in In-Context Learning
Kaito Takanami, Cengiz Pehlevan
https://t.co/YGQugkyFfK [ππππ.πΌπ» ππππ-πππ.πππ-ππ ππ.π»πΆ]
Trajectory-Aware Node Contributions and the Limits of Static Controllability
Valentina Kuskova, Dmitry Zaytsev, Michael Coppedge
https://t.co/CaEycVeemR [ππππ.πΌπ» ππ.π»πΆ]
ScoreStop: Gradient-based early stopping using functional score tests
Oliver J. Hines, Christian L. Hines
https://t.co/TOjotrhMEV [ππππ.πΌπ» ππ.π»πΆ]
State-Coupled Volatility in Latent Dynamical Systems: Recovery Under Partial Observation
Imani Beckett
https://t.co/kl0CUG8Osp [ππππ.πΌπ» ππ.π»πΆ]
Target Updates May Stabilize Linear Q-Learning: Periodic and Soft Dynamics
Donghwan Lee
https://t.co/QaLXDWwWW9 [ππππ.πΌπ» ππ.π°πΈ ππ.π»πΆ]
ShaplEIG: Bayesian Experimental Design for Shapley Value Estimation
David Rundel, Fabian Fumagalli, Maximilian Muschalik, Bernd Bischl, β¦
https://t.co/ceJKIUM1ta [ππππ.πΌπ» ππ.π»πΆ]
π¬Accepted at the Forty-Third International Conference on Machine Learning (ICML 2026)
Bayesian meta-learning for modeling Alzheimer's disease progression
Clara Hoffmann, Nadja Klein
https://t.co/GBmTzVe2yN [ππππ.πΌπ» ππ.π²π ππ.π»πΆ]