Papers
An Optimal Algorithm for Strongly Convex Min-Min Optimization
Dmitry Kovalev, Alexander Gasnikov, Grigory Malinovsky
Probabilistic Explanations for Regression Models
Frédéric Koriche, Jean-Marie Lagniez, Chi Tran
Robust Optimization with Diffusion Models for Green Security
Lingkai Kong, Haichuan Wang, Yuqi Pan et al.
Error Bounds for Physics-Informed Neural Networks in Fokker-Planck PDEs
Chun-Wei Kong, Luca Laurenti, Jay McMahon et al.
DF$^2$: Distribution-Free Decision-Focused Learning
Lingkai Kong, Wenhao Mu, Jiaming Cui et al.
A Multivariate Unimodality Test Harnessing the Dip Statistic of Mahalanobis Distances Over Random Projections
Prodromos Kolyvakis, Aristidis Likas
Causal Effect Identification in Heterogeneous Environments from Higher-Order Moments
Yaroslav Kivva, Sina Akbari, Saber Salehkaleybar et al.
Bayesian Optimization with Inexact Acquisition: Is Random Grid Search Sufficient?
Hwanwoo Kim, Chong Liu, Yuxin Chen
Collaborative Prediction: To Join or To Disjoin Datasets
Kyung Rok Kim, Yansong Wang, Xiaocheng Li et al.
Efficiently Escaping Saddle Points for Policy Optimization
Mohammadsadegh Khorasani, Saber Salehkaleybar, Negar Kiyavash et al.
Accurate and Scalable Stochastic Gaussian Process Regression via Learnable Coreset-based Variational Inference
Mert Ketenci, Adler J Perotte, Noémie Elhadad et al.
Explaining Negative Classifications of AI Models in Tumor Diagnosis
David A. Kelly, Hana Chockler, Nathan Blake
Decomposition of Probabilities of Causation with Two Mediators
Yuta Kawakami, Jin Tian
Moments of Causal Effects
Yuta Kawakami, Jin Tian
Adapting Prediction Sets to Distribution Shifts Without Labels
Kevin Kasa, Zhiyu Zhang, Heng Yang et al.
ELF: Federated Langevin Algorithms with Primal, Dual and Bidirectional Compression
Avetik Karagulyan, Peter Richtárik
Provably Adaptive Average Reward Reinforcement Learning for Metric Spaces
Avik Kar, Rahul Singh
Distributional Reinforcement Learning with Dual Expectile-Quantile Regression
Sami Jullien, Romain Deffayet, Jean-Michel Renders et al.
Best Possible Q-Learning
Jiechuan Jiang, Zongqing Lu
Coevolutionary Emergent Systems Optimization with Applications to Ultra-High-Dimensional Metasurface Design : OAM Wave Manipulation
Zhengxuan Jiang, Guowen Ding, Wen Jiang
Fast Calculation of Feature Contributions in Boosting Trees
Zhongli Jiang, Min Zhang, Dabao Zhang
Generative Uncertainty in Diffusion Models
Metod Jazbec, Eliot Wong-Toi, Guoxuan Xia et al.
Lower Bounds on the Size of Markov Equivalence Classes
Erik L Jahn, Frederick Eberhardt, Leonard Schulman
Root Cause Analysis of Failures from Partial Causal Structures
Azam Ikram, Kenneth Lee, Shubham Agarwal et al.