Papers
A Tree-based Model Averaging Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources
Xiaoqing Tan, Chung-Chou H. Chang, Ling Zhou et al.
Attentional Meta-learners for Few-shot Polythetic Classification
Ben J Day, Ramon Viñas Torné, Nikola Simidjievski et al.
Augment with Care: Contrastive Learning for Combinatorial Problems
Haonan Duan, Pashootan Vaezipoor, Max B Paulus et al.
A Unified View on PAC-Bayes Bounds for Meta-Learning
Arezou Rezazadeh
A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks
Yu Pan, Zeyong Su, Ao Liu et al.
AutoIP: A United Framework to Integrate Physics into Gaussian Processes
Da Long, Zheng Wang, Aditi Krishnapriyan et al.
AutoSNN: Towards Energy-Efficient Spiking Neural Networks
Byunggook Na, Jisoo Mok, Seongsik Park et al.
Auxiliary Learning with Joint Task and Data Scheduling
Hong Chen, Xin Wang, Chaoyu Guan et al.
BabelTower: Learning to Auto-parallelized Program Translation
Yuanbo Wen, Qi Guo, Qiang Fu et al.
Balancing Discriminability and Transferability for Source-Free Domain Adaptation
Jogendra Nath Kundu, Akshay R Kulkarni, Suvaansh Bhambri et al.
Balancing Sample Efficiency and Suboptimality in Inverse Reinforcement Learning
Angelo Damiani, Giorgio Manganini, Alberto Maria Metelli et al.
BAMDT: Bayesian Additive Semi-Multivariate Decision Trees for Nonparametric Regression
Zhao Tang Luo, Huiyan Sang, Bani Mallick
Batched Dueling Bandits
Arpit Agarwal, Rohan Ghuge, Viswanath Nagarajan
Batch Greenkhorn Algorithm for Entropic-Regularized Multimarginal Optimal Transport: Linear Rate of Convergence and Iteration Complexity
Vladimir R. Kostic, Saverio Salzo, Massimiliano Pontil
Bayesian Continuous-Time Tucker Decomposition
Shikai Fang, Akil Narayan, Robert Kirby et al.
Bayesian Deep Embedding Topic Meta-Learner
Zhibin Duan, Yishi Xu, Jianqiao Sun et al.
Bayesian Imitation Learning for End-to-End Mobile Manipulation
Yuqing Du, Daniel Ho, Alex Alemi et al.
Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense
Bao Gia Doan, Ehsan M. Abbasnejad, Javen Qinfeng Shi et al.
Bayesian Model Selection, the Marginal Likelihood, and Generalization
Sanae Lotfi, Pavel Izmailov, Gregory Benton et al.
Bayesian Nonparametric Learning for Point Processes with Spatial Homogeneity: A Spatial Analysis of NBA Shot Locations
Fan Yin, Jieying Jiao, Jun Yan et al.
Bayesian Nonparametrics for Offline Skill Discovery
Valentin Villecroze, Harry Braviner, Panteha Naderian et al.
Bayesian Optimization for Distributionally Robust Chance-constrained Problem
Yu Inatsu, Shion Takeno, Masayuki Karasuyama et al.
Bayesian Optimization under Stochastic Delayed Feedback
Arun Verma, Zhongxiang Dai, Bryan Kian Hsiang Low
Being Properly Improper
Tyler Sypherd, Richard Nock, Lalitha Sankar
Be Like Water: Adaptive Floating Point for Machine Learning
Thomas Yeh, Max Sterner, Zerlina Lai et al.