Summary of Incentivized Learning in Principal-agent Bandit Games, by Antoine Scheid et al.
Incentivized Learning in Principal-Agent Bandit Gamesby Antoine Scheid, Daniil Tiapkin, Etienne Boursier, Aymeric Capitaine, El…
Incentivized Learning in Principal-Agent Bandit Gamesby Antoine Scheid, Daniil Tiapkin, Etienne Boursier, Aymeric Capitaine, El…
ProbSAINT: Probabilistic Tabular Regression for Used Car Pricingby Kiran Madhusudhanan, Gunnar Behrens, Maximilian Stubbemann, Lars…
KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphsby Ruoqi Liu,…
Targeted Variance Reduction: Robust Bayesian Optimization of Black-Box Simulators with Noise Parametersby John Joshua Miller,…
Cobweb: An Incremental and Hierarchical Model of Human-Like Category Learningby Xin Lian, Sashank Varma, Christopher…
Feature Selection as Deep Sequential Generative Learningby Wangyang Ying, Dongjie Wang, Haifeng Chen, Yanjie FuFirst…
On the Effectiveness of Distillation in Mitigating Backdoors in Pre-trained Encoderby Tingxu Han, Shenghan Huang,…
Accelerating Convergence of Score-Based Diffusion Models, Provablyby Gen Li, Yu Huang, Timofey Efimov, Yuting Wei,…
Conformal prediction for multi-dimensional time series by ellipsoidal setsby Chen Xu, Hanyang Jiang, Yao XieFirst…
Public-data Assisted Private Stochastic Optimization: Power and Limitationsby Enayat Ullah, Michael Menart, Raef Bassily, Cristóbal…