Summary of Learning Mirror Maps in Policy Mirror Descent, by Carlo Alfano et al.
Learning mirror maps in policy mirror descentby Carlo Alfano, Sebastian Towers, Silvia Sapora, Chris Lu,…
Summary of On Parameter Estimation in Deviated Gaussian Mixture Of Experts, by Huy Nguyen and Khai Nguyen and Nhat Ho
On Parameter Estimation in Deviated Gaussian Mixture of Expertsby Huy Nguyen, Khai Nguyen, Nhat HoFirst…
Summary of Bellman Conformal Inference: Calibrating Prediction Intervals For Time Series, by Zitong Yang et al.
Bellman Conformal Inference: Calibrating Prediction Intervals For Time Seriesby Zitong Yang, Emmanuel Candès, Lihua LeiFirst…
Summary of Context in Public Health For Underserved Communities: a Bayesian Approach to Online Restless Bandits, by Biyonka Liang et al.
Context in Public Health for Underserved Communities: A Bayesian Approach to Online Restless Banditsby Biyonka…
Summary of Priorboost: An Adaptive Algorithm For Learning From Aggregate Responses, by Adel Javanmard et al.
PriorBoost: An Adaptive Algorithm for Learning from Aggregate Responsesby Adel Javanmard, Matthew Fahrbach, Vahab MirrokniFirst…
Summary of Generative Flows on Discrete State-spaces: Enabling Multimodal Flows with Applications to Protein Co-design, by Andrew Campbell et al.
Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Designby Andrew Campbell,…
Summary of Asymptotics Of Feature Learning in Two-layer Networks After One Gradient-step, by Hugo Cui et al.
Asymptotics of feature learning in two-layer networks after one gradient-stepby Hugo Cui, Luca Pesce, Yatin…
Summary of Beyond Explaining: Xai-based Adaptive Learning with Shap Clustering For Energy Consumption Prediction, by Tobias Clement and Hung Truong Thanh Nguyen and Nils Kemmerzell and Mohamed Abdelaal and Davor Stjelja
Beyond explaining: XAI-based Adaptive Learning with SHAP Clustering for Energy Consumption Predictionby Tobias Clement, Hung…
Summary of Randomized Confidence Bounds For Stochastic Partial Monitoring, by Maxime Heuillet et al.
Randomized Confidence Bounds for Stochastic Partial Monitoringby Maxime Heuillet, Ola Ahmad, Audrey DurandFirst submitted to…
Summary of Example-based Explanations For Random Forests Using Machine Unlearning, by Tanmay Surve and Romila Pradhan
Example-based Explanations for Random Forests using Machine Unlearningby Tanmay Surve, Romila PradhanFirst submitted to arxiv…