Papers
4,025 papers found
Incorporating functional summary information in Bayesian neural networks using a Dirichlet process likelihood approach
Vishnu Raj, Tianyu Cui, Markus Heinonen et al.
Incremental Aggregated Riemannian Gradient Method for Distributed PCA
Xiaolu Wang, Yuchen Jiao, Hoi-To Wai et al.
Indeterminacy in Generative Models: Characterization and Strong Identifiability
Quanhan Xi, Benjamin Bloem-Reddy
Inducing Neural Collapse in Deep Long-tailed Learning
Xuantong Liu, Jianfeng Zhang, Tianyang Hu et al.
Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation
Henry B. Moss, Sebastian W. Ober, Victor Picheny
Influence Diagnostics under Self-concordance
Jillian Fisher, Lang Liu, Krishna Pillutla et al.
INO: Invariant Neural Operators for Learning Complex Physical Systems with Momentum Conservation
Ning Liu, Yue Yu, Huaiqian You et al.
Instance-dependent Sample Complexity Bounds for Zero-sum Matrix Games
Arnab Maiti, Kevin Jamieson, Lillian Ratliff
Interactive Learning with Pricing for Optimal and Stable Allocations in Markets
Yigit Efe Erginbas, Soham Phade, Kannan Ramchandran
Is interpolation benign for random forest regression?
Ludovic Arnould, Claire Boyer, Erwan Scornet
Isotropic Gaussian Processes on Finite Spaces of Graphs
Viacheslav Borovitskiy, Mohammad Reza Karimi, Vignesh Ram Somnath et al.
Iterative Teaching by Data Hallucination
Zeju Qiu, Weiyang Liu, Tim Z. Xiao et al.
Kernel Conditional Moment Constraints for Confounding Robust Inference
Kei Ishikawa, Niao He
Knowledge Acquisition for Human-In-The-Loop Image Captioning
Ervine Zheng, Qi Yu, Rui Li et al.
Knowledge Sheaves: A Sheaf-Theoretic Framework for Knowledge Graph Embedding
Thomas Gebhart, Jakob Hansen, Paul Schrater
Krylov–Bellman boosting: Super-linear policy evaluation in general state spaces
Eric Xia, Martin Wainwright
Langevin Diffusion Variational Inference
Tomas Geffner, Justin Domke
Large deviations rates for stochastic gradient descent with strongly convex functions
Dragana Bajovic, Dusan Jakovetic, Soummya Kar
Last-Iterate Convergence with Full and Noisy Feedback in Two-Player Zero-Sum Games
Kenshi Abe, Kaito Ariu, Mitsuki Sakamoto et al.
Learning Constrained Structured Spaces with Application to Multi-Graph Matching
Hedda Cohen Indelman, Tamir Hazan
Learning from Multiple Sources for Data-to-Text and Text-to-Data
Song Duong, Alberto Lumbreras, Mike Gartrell et al.
Learning in RKHM: a C*-Algebraic Twist for Kernel Machines
Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri
Learning k-qubit Quantum Operators via Pauli Decomposition
Mohsen Heidari, Wojciech Szpankowski
Learning Physics-Informed Neural Networks without Stacked Back-propagation
Di He, Shanda Li, Wenlei Shi et al.
Learning Robust Graph Neural Networks with Limited Supervision
Abdullah Alchihabi, Yuhong Guo