Papers
4,025 papers found
DE-HNN: An effective neural model for Circuit Netlist representation
Zhishang Luo, Truong Son Hy, Puoya Tabaghi et al.
Delegating Data Collection in Decentralized Machine Learning
Nivasini Ananthakrishnan, Stephen Bates, Michael Jordan et al.
Density Uncertainty Layers for Reliable Uncertainty Estimation
Yookoon Park, David Blei
DHMConv: Directed Hypergraph Momentum Convolution Framework
Wenbo Zhao, Zitong Ma, Zhe Yang
Diagonalisation SGD: Fast & Convergent SGD for Non-Differentiable Models via Reparameterisation and Smoothing
Dominik Wagner, Basim Khajwal, Luke Ong
Differentiable Rendering with Reparameterized Volume Sampling
Nikita Morozov, Denis Rakitin, Oleg Desheulin et al.
Differentially Private Conditional Independence Testing
Iden Kalemaj, Shiva Kasiviswanathan, Aaditya Ramdas
Differentially Private Reward Estimation with Preference Feedback
Sayak Ray Chowdhury, Xingyu Zhou, Nagarajan Natarajan
DiffRed: Dimensionality reduction guided by stable rank
Prarabdh Shukla, Gagan Raj Gupta, Kunal Dutta
Directed Hypergraph Representation Learning for Link Prediction
Zitong Ma, Wenbo Zhao, Zhe Yang
Directional Optimism for Safe Linear Bandits
Spencer Hutchinson, Berkay Turan, Mahnoosh Alizadeh
Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods
Jiaxin Zhang, Kamalika Das, Sricharan Kumar
Discriminator Guidance for Autoregressive Diffusion Models
Filip Ekström Kelvinius, Fredrik Lindsten
Dissimilarity Bandits
Paolo Battellani, Alberto Maria Metelli, Francesco Trovò
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces
Shyam Sundhar Ramesh, Pier Giuseppe Sessa, Yifan Hu et al.
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