Papers
Federated UCBVI: Communication-Efficient Federated Regret Minimization with Heterogeneous Agents
Safwan Labbi, Daniil Tiapkin, Lorenzo Mancini et al.
Fine-Tuning with Uncertainty-Aware Priors Makes Vision and Language Foundation Models More Reliable
Tim G. J. Rudner, Xiang Pan, Yucen Lily Li et al.
Fixed-Budget Change Point Identification in Piecewise Constant Bandits
Joseph Lazzaro, Ciara Pike-Burke
Flexible and Efficient Probabilistic PDE Solvers through Gaussian Markov Random Fields
Tim Weiland, Marvin Pförtner, Philipp Hennig
Flexible Copula-Based Mixed Models in Deep Learning: A Scalable Approach to Arbitrary Marginals
Giora Simchoni, Saharon Rosset
FLIPHAT: Joint Differential Privacy for High Dimensional Linear Bandits
Saptarshi Roy, Sunrit Chakraborty, Debabrota Basu
Fourier Circuits in Neural Networks and Transformers: A Case Study of Modular Arithmetic with Multiple Inputs
Chenyang Li, Yingyu Liang, Zhenmei Shi et al.
From Deep Additive Kernel Learning to Last-Layer Bayesian Neural Networks via Induced Prior Approximation
Wenyuan Zhao, Haoyuan Chen, Tie Liu et al.
From Gradient Clipping to Normalization for Heavy Tailed SGD
Florian Hübler, Ilyas Fatkhullin, Niao He
From Learning to Optimize to Learning Optimization Algorithms
Camille Castera, Peter Ochs
Fully Dynamic Adversarially Robust Correlation Clustering in Polylogarithmic Update Time
Vladimir Braverman, Prathamesh Dharangutte, Shreyas Pai et al.
Functional Stochastic Gradient MCMC for Bayesian Neural Networks
Mengjing Wu, Junyu Xuan, Jie Lu
Function-Space MCMC for Bayesian Wide Neural Networks
Lucia Pezzetti, Stefano Favaro, Stefano Peluchetti
Fundamental computational limits of weak learnability in high-dimensional multi-index models
Emanuele Troiani, Yatin Dandi, Leonardo Defilippis et al.
Fundamental Limits of Perfect Concept Erasure
Somnath Basu Roy Chowdhury, Kumar Avinava Dubey, Ahmad Beirami et al.
Gated Recurrent Neural Networks with Weighted Time-Delay Feedback
N. Benjamin Erichson, Soon Hoe Lim, Michael W. Mahoney
Gaussian Mean Testing under Truncation
Clement Louis Canonne, Themis Gouleakis, Yuhao Wang et al.
Gaussian Smoothing in Saliency Maps: The Stability-Fidelity Trade-Off in Neural Network Interpretability
Zhuorui Ye, Farzan Farnia
Generalization Bounds for Dependent Data using Online-to-Batch Conversion.
Sagnik Chatterjee, MANUJ MUKHERJEE, Alhad Sethi
Generalization Lower Bounds for GD and SGD in Smooth Stochastic Convex Optimization
Peiyuan Zhang, Jiaye Teng, Jingzhao Zhang
Generalized Criterion for Identifiability of Additive Noise Models Using Majorization
Aramayis Dallakyan, Yang Ni
General Staircase Mechanisms for Optimal Differential Privacy
Alex Kulesza, Ananda Theertha Suresh, Yuyan Wang
Geometric Collaborative Filtering with Convergence
Hisham Husain, Julien Monteil
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds
Xingzhi Sun, Danqi Liao, Kincaid MacDonald et al.