Papers
4,025 papers found
A Tighter Problem-Dependent Regret Bound for Risk-Sensitive Reinforcement Learning
Xiaoyan Hu, Ho-Fung Leung
AUC-based Selective Classification
Andrea Pugnana, Salvatore Ruggieri
A Unified Perspective on Regularization and Perturbation in Differentiable Subset Selection
Xiangqian Sun, Cheuk Hang Leung, Yijun Li et al.
Autoencoded sparse Bayesian in-IRT factorization, calibration, and amortized inference for the Work Disability Functional Assessment Battery
Joshua C. Chang, Carson C. Chow, Julia Porcino
Automatic Attention Pruning: Improving and Automating Model Pruning using Attentions
Kaiqi Zhao, Animesh Jain, Ming Zhao
A Variance-Reduced and Stabilized Proximal Stochastic Gradient Method with Support Identification Guarantees for Structured Optimization
Yutong Dai, Guanyi Wang, Frank E. Curtis et al.
Average Adjusted Association: Efficient Estimation with High Dimensional Confounders
Sung Jae Jun, Sokbae Lee
Average case analysis of Lasso under ultra sparse conditions
Koki Okajima, Xiangming Meng, Takashi Takahashi et al.
BaCaDI: Bayesian Causal Discovery with Unknown Interventions
Alexander Hägele, Jonas Rothfuss, Lars Lorch et al.
Balanced Off-Policy Evaluation for Personalized Pricing
Adam Elmachtoub, Vishal Gupta, Yunfan Zhao
Barlow Graph Auto-Encoder for Unsupervised Network Embedding
Rayyan Ahmad Khan, Martin Kleinsteuber
Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior
Yohan Jung, Jinkyoo Park
Bayesian Hierarchical Models for Counterfactual Estimation
Natraj Raman, Daniele Magazzeni, Sameena Shah
Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings
Aryan Deshwal, Sebastian Ament, Maximilian Balandat et al.
Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach
Syrine Belakaria, Janardhan Rao Doppa, Nicolo Fusi et al.
Bayesian Optimization with Conformal Prediction Sets
Samuel Stanton, Wesley Maddox, Andrew Gordon Wilson
Bayesian Strategy-Proof Facility Location via Robust Estimation
Emmanouil Zampetakis, Fred Zhang
Bayesian Structure Scores for Probabilistic Circuits
Yang Yang, Gennaro Gala, Robert Peharz
Bayesian Variable Selection in a Million Dimensions
Martin Jankowiak
Benign overfitting of non-smooth neural networks beyond lazy training
Xingyu Xu, Yuantao Gu
Beyond Performative Prediction: Open-environment Learning with Presence of Corruptions
Jia-Wei Shan, Peng Zhao, Zhi-Hua Zhou
Blessing of Class Diversity in Pre-training
Yulai Zhao, Jianshu Chen, Simon Du
BlitzMask: Real-Time Instance Segmentation Approach for Mobile Devices
Vitalii Bulygin, Dmytro Mykheievskyi, Kyrylo Kuchynskyi
Boosted Off-Policy Learning
Ben London, Levi Lu, Ted Sandler et al.
Bounding Evidence and Estimating Log-Likelihood in VAE
Łukasz Struski, Marcin Mazur, Paweł Batorski et al.