Statistical Learning
Only Strict Saddles in the Energy Landscape of Predictive Coding Networks?
However, these advantages are not always observed, and the impact of PC inference on learning is not theoretically well understood.
Dynamic Service Fee Pricing under Strategic Behavior: Actions as Instruments and Phase Transition
We study a dynamic pricing problem for third-party platform service fees under strategic, far-sighted customers. In each time period, the platform sets a service fee based on historical data, observes the resulting transaction quantities, and collects revenue.
Fully Dynamic Consistent Facility Location
Vincent Cohen-Addad, Niklas Oskar D. Hjuler, Nikos Parotsidis, David Saulpic, Chris Schwiegelshohn
Neural Information Processing Systems http://nips.cc/
Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control
Armin Lederer, Jonas Umlauft, Sandra Hirche
Neural Information Processing Systems http://nips.cc/
Multivariate Distributionally Robust Convex Regression under Absolute Error Loss
Jose Blanchet, Peter W. Glynn, Jun Yan, Zhengqing Zhou
Neural Information Processing Systems http://nips.cc/
GOT: An Optimal Transport framework for Graph comparison
This allows us to derive an explicit expression of the Wasserstein distance between graph signal distributions in terms of the graph Laplacian matrices.
Unsupervised Meta-Learning for Few-Shot Image Classification
Siavash Khodadadeh, Ladislau Boloni, Mubarak Shah
Neural Information Processing Systems http://nips.cc/
fcdf698a5d673435e0a5a6f9ffea05ca-AuthorFeedback.pdf
We thank all the reviewers for the valuable insights and feedback. Below please see our response to the questions. Brief description of SAEM: Thank you for the suggestion. Causal direction flipping is not an assumption. It is hard to handle with traditional methods.