Papers
4,025 papers found
Efficient Conformal Prediction under Data Heterogeneity
Vincent Plassier, Nikita Kotelevskii, Aleksandr Rubashevskii et al.
Efficient Data Shapley for Weighted Nearest Neighbor Algorithms
Jiachen T. Wang, Prateek Mittal, Ruoxi Jia
Efficient Graph Laplacian Estimation by Proximal Newton
Yakov Medvedovsky, Eran Treister, Tirza S Routtenberg
Efficient Low-Dimensional Compression of Overparameterized Models
Soo Min Kwon, Zekai Zhang, Dogyoon Song et al.
Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning
Jörn Tebbe, Christoph Zimmer, Ansgar Steland et al.
Efficient Model-Based Concave Utility Reinforcement Learning through Greedy Mirror Descent
Bianca M. Moreno, Margaux Bregere, Pierre Gaillard et al.
Efficient Neural Architecture Design via Capturing Architecture-Performance Joint Distribution
Yue Liu, Ziyi Yu, Zitu Liu et al.
Efficient Quantum Agnostic Improper Learning of Decision Trees
Sagnik Chatterjee, Tharrmashastha SAPV, Debajyoti Bera
Efficient Reinforcement Learning for Routing Jobs in Heterogeneous Queueing Systems
Neharika Jali, Guannan Qu, Weina Wang et al.
Efficient Variational Sequential Information Control
Jianwei Shen, Jason Pacheco
Electronic Medical Records Assisted Digital Clinical Trial Design
Xinrui Ruan, Jingshen Wang, Yingfei Wang et al.
Emergent specialization from participation dynamics and multi-learner retraining
Sarah Dean, Mihaela Curmei, Lillian Ratliff et al.
EM for Mixture of Linear Regression with Clustered Data
Amirhossein Reisizadeh, Khashayar Gatmiry, Asuman Ozdaglar
End-to-end Feature Selection Approach for Learning Skinny Trees
Shibal Ibrahim, Kayhan Behdin, Rahul Mazumder
Enhancing Distributional Stability among Sub-populations
Jiashuo Liu, Jiayun Wu, Jie Peng et al.
Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterization
Zhenzhang Ye, Gabriel Peyré, Daniel Cremers et al.
Enhancing In-context Learning via Linear Probe Calibration
Momin Abbas, Yi Zhou, Parikshit Ram et al.
Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels
Da Long, Wei Xing, Aditi Krishnapriyan et al.
Equivalence Testing: The Power of Bounded Adaptivity
Diptarka Chakraborty, Sourav Chakraborty, Gunjan Kumar et al.
Equivariant bootstrapping for uncertainty quantification in imaging inverse problems
Marcelo Pereyra, Julián Tachella
Error bounds for any regression model using Gaussian processes with gradient information
Rafael Savvides, Hoang Phuc Hau Luu, Kai Puolamäki
Escaping Saddle Points in Heterogeneous Federated Learning via Distributed SGD with Communication Compression
Sijin Chen, Zhize Li, Yuejie Chi
Estimating treatment effects from single-arm trials via latent-variable modeling
Manuel Haussmann, Tran Minh Son Le, Viivi Halla-aho et al.
Estimation of partially known Gaussian graphical models with score-based structural priors
Martín Sevilla, Antonio G. Marques, Santiago Segarra
Ethics in Action: Training Reinforcement Learning Agents for Moral Decision-making In Text-based Adventure Games
Weichen Li, Rati Devidze, Waleed Mustafa et al.