Papers
Black-Box Methods for Restoring Monotonicity
Evangelia Gergatsouli, Brendan Lucier, Christos Tzamos
Black-Box Variational Inference as a Parametric Approximation to Langevin Dynamics
Matthew Hoffman, Yian Ma
Boosted Histogram Transform for Regression
Yuchao Cai, Hanyuan Hang, Hanfang Yang et al.
Boosting Deep Neural Network Efficiency with Dual-Module Inference
Liu Liu, Lei Deng, Zhaodong Chen et al.
Boosting for Control of Dynamical Systems
Naman Agarwal, Nataly Brukhim, Elad Hazan et al.
Boosting Frank-Wolfe by Chasing Gradients
Cyrille Combettes, Sebastian Pokutta
Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning
Zhaohan Daniel Guo, Bernardo Avila Pires, Bilal Piot et al.
Born-Again Tree Ensembles
Thibaut Vidal, Maximilian Schiffer
Bounding the fairness and accuracy of classifiers from population statistics
Sivan Sabato, Elad Yom-Tov
BoXHED: Boosted eXact Hazard Estimator with Dynamic covariates
Xiaochen Wang, Arash Pakbin, Bobak Mortazavi et al.
Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning
Lingxiao Wang, Zhuoran Yang, Zhaoran Wang
Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search
Yong Guo, Yaofo Chen, Yin Zheng et al.
Bridging the Gap Between f-GANs and Wasserstein GANs
Jiaming Song, Stefano Ermon
Budgeted Online Influence Maximization
Pierre Perrault, Jennifer Healey, Zheng Wen et al.
Calibration, Entropy Rates, and Memory in Language Models
Mark Braverman, Xinyi Chen, Sham Kakade et al.
Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?
Angelos Filos, Panagiotis Tigkas, Rowan Mcallister et al.
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?
Kei Ota, Tomoaki Oiki, Devesh Jha et al.
Can Stochastic Zeroth-Order Frank-Wolfe Method Converge Faster for Non-Convex Problems?
Hongchang Gao, Heng Huang
Causal Effect Estimation and Optimal Dose Suggestions in Mobile Health
Liangyu Zhu, Wenbin Lu, Rui Song
Causal Effect Identifiability under Partial-Observability
Sanghack Lee, Elias Bareinboim
Causal Inference using Gaussian Processes with Structured Latent Confounders
Sam Witty, Kenta Takatsu, David Jensen et al.
Causal Modeling for Fairness In Dynamical Systems
Elliot Creager, David Madras, Toniann Pitassi et al.
Causal Strategic Linear Regression
Yonadav Shavit, Benjamin Edelman, Brian Axelrod
Causal Structure Discovery from Distributions Arising from Mixtures of DAGs
Basil Saeed, Snigdha Panigrahi, Caroline Uhler
CAUSE: Learning Granger Causality from Event Sequences using Attribution Methods
Wei Zhang, Thomas Panum, Somesh Jha et al.