Papers
Distributionally Robust Quickest Change Detection using Wasserstein Uncertainty Sets
Liyan Xie, Yuchen Liang, Venugopal V. Veeravalli
DNNLasso: Scalable Graph Learning for Matrix-Variate Data
Meixia Lin, Yangjing Zhang
Don’t Be Pessimistic Too Early: Look K Steps Ahead!
Chaoqi Wang, Ziyu Ye, Kevin Murphy et al.
Double InfoGAN for Contrastive Analysis
Florence Carton, Robin Louiset, Pietro Gori
Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation
Vinod Kumar Chauhan, Jiandong Zhou, Ghadeer Ghosheh et al.
E(3)-Equivariant Mesh Neural Networks
Thuan Anh Trang, Nhat Khang Ngo, Daniel T. Levy et al.
Effect of Ambient-Intrinsic Dimension Gap on Adversarial Vulnerability
Rajdeep Haldar, Yue Xing, Qifan Song
Efficient Active Learning Halfspaces with Tsybakov Noise: A Non-convex Optimization Approach
Yinan Li, Chicheng Zhang
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.