Papers
938 papers found
Content Sharing Design for Social Welfare in Networked Disclosure Game
Feiran Jia, Chenxi Qiu, Sarah Rajtmajer et al.
Contrastive learning for supervised graph matching
Gathika Ratnayaka, Qing Wang, Yang Li
Convergence rates for localized actor-critic in networked Markov potential games
Zhaoyi Zhou, Zaiwei Chen, Yiheng Lin et al.
Copula-based deep survival models for dependent censoring
Ali Hossein Foomani Gharari, Michael Cooper, Russell Greiner et al.
Copula for Instance-wise Feature Selection and Rank
Hanyu Peng, Guanhua Fang, Ping Li
Correcting for selection bias and missing response in regression using privileged information
P Boeken, Noud de Kroon, Mathijs de Jong et al.
CrysMMNet: Multimodal Representation for Crystal Property Prediction
Kishalay Das, Pawan Goyal, Seung-Cheol Lee et al.
CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language Models
Jiazheng Li, Zhaoyue Sun, Bin Liang et al.
Deep Gaussian mixture ensembles
Yousef El-Laham, Niccolo Dalmasso, Elizabeth Fons et al.
Detection of Short-Term Temporal Dependencies in Hawkes Processes with Heterogeneous Background Dynamics
Yu Chen, Fengpei Li, Anderson Schneider et al.
Differentiable user models
Alex Hämäläinen, Mustafa Mert Çelikok, Samuel Kaski
Differentially Private Stochastic Convex Optimization in (Non)-Euclidean Space Revisited
Jinyan Su, Changhong Zhao, Di Wang
Differentially private synthetic data using KD-trees
Eleonora Kreačić, Navid Nouri, Vamsi K. Potluru et al.
Differential Privacy in Cooperative Multiagent Planning
Bo Chen, Calvin Hawkins, Mustafa O. Karabag et al.
Dirichlet Proportions Model for Hierarchically Coherent Probabilistic Forecasting
A. Das, W. Kong, B. Paria et al.
Diversity-enhanced probabilistic ensemble for uncertainty estimation
Hanjing Wang, Qiang Ji
Does Momentum Help in Stochastic Optimization? A Sample Complexity Analysis.
Swetha Ganesh, Rohan Deb, Gugan Thoppe et al.
Do we become wiser with time? On causal equivalence with tiered background knowledge
Christine W. Bang, Vanessa Didelez
Efficient Failure Pattern Identification of Predictive Algorithms
Bao Nguyen, Viet Anh Nguyen
Efficient Learning of Minimax Risk Classifiers in High Dimensions
Kartheek Bondugula, Santiago Mazuelas, Aritz Pérez
Efficiently learning the graph for semi-supervised learning
Dravyansh Sharma, Maxwell Jones
Efficient Privacy-Preserving Stochastic Nonconvex Optimization
Lingxiao Wang, Bargav Jayaraman, David Evans et al.
Energy-based Predictive Representations for Partially Observed Reinforcement Learning
Tianjun Zhang, Tongzheng Ren, Chenjun Xiao et al.