Papers
Improved Rate of First Order Algorithms for Entropic Optimal Transport
Yiling Luo, Yiling Xie, Xiaoming Huo
Improved Representation Learning Through Tensorized Autoencoders
Pascal Esser, Satyaki Mukherjee, Mahalakshmi Sabanayagam et al.
Improved Sample Complexity Bounds for Distributionally Robust Reinforcement Learning
Zaiyan Xu, Kishan Panaganti, Dileep Kalathil
Improving Adaptive Conformal Prediction Using Self-Supervised Learning
Nabeel Seedat, Alan Jeffares, Fergus Imrie et al.
Improving Adversarial Robustness via Joint Classification and Multiple Explicit Detection Classes
Sina Baharlouei, Fatemeh Sheikholeslami, Meisam Razaviyayn et al.
Improving Dual-Encoder Training through Dynamic Indexes for Negative Mining
Nicholas Monath, Manzil Zaheer, Kelsey Allen et al.
Incentive-aware Contextual Pricing with Non-parametric Market Noise
Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang
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