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Results
Found 4458 publication records. Showing 4458 according to the selection in the facets
| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Sho Takemori, Yuhei Umeda, Aditya Gopalan |
Model-Based Best Arm Identification for Decreasing Bandits.  |
AISTATS  |
2024 |
DBLP BibTeX RDF |
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| 1 | Da Long, Wei W. Xing, Aditi S. Krishnapriyan, Robert M. Kirby, Shandian Zhe, Michael W. Mahoney |
Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Yongyi Guo, Ziping Xu, Susan A. Murphy |
Online learning in bandits with predicted context. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Philipp Michael Faller, Leena C. Vankadara, Atalanti-Anastasia Mastakouri, Francesco Locatello, Dominik Janzing |
Self-Compatibility: Evaluating Causal Discovery without Ground Truth. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Rune D. Kjærsgaard, Pekka Parviainen, Saket Saurabh 0001, Madhumita Kundu, Line H. Clemmensen |
Fair Soft Clustering. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Jinyeong Chae, Donghwa Kim, Kwanseok Kim, Doyeon Lee, Sangho Lee, Seongsu Ha, Jonghwan Mun, Wooyoung Kang, Byungseok Roh, Joonseok Lee |
Towards a Complete Benchmark on Video Moment Localization. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Pinar Demetci, Quang Huy Tran, Ievgen Redko, Ritambhara Singh |
Breaking isometric ties and introducing priors in Gromov-Wasserstein distances. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Asterios Tsiourvas, Wei Sun 0031, Georgia Perakis |
Manifold-Aligned Counterfactual Explanations for Neural Networks. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Jean Feng, Alexej Gossmann, Romain Pirracchio, Nicholas Petrick, Gene Pennello, Berkman Sahiner |
Is this model reliable for everyone? Testing for strong calibration. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Jean Feng, Alexej Gossmann, Gene Pennello, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio |
Monitoring machine learning-based risk prediction algorithms in the presence of performativity. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Yitian Zhang, Liheng Ma, Soumyasundar Pal, Yingxue Zhang 0001, Mark Coates |
Multi-resolution Time-Series Transformer for Long-term Forecasting. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Yujin Han, Mingwenchan Xu, Leying Guan |
Conformalized Semi-supervised Random Forest for Classification and Abnormality Detection. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Rajdeep Haldar, Yue Xing 0002, Qifan Song |
Effect of Ambient-Intrinsic Dimension Gap on Adversarial Vulnerability. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Daogao Liu, Hilal Asi |
User-level Differentially Private Stochastic Convex Optimization: Efficient Algorithms with Optimal Rates. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Alihan Hüyük, Zhaozhi Qian, Mihaela van der Schaar |
Adaptive Experiment Design with Synthetic Controls. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Ziyu Gong, Ben Usman, Han Zhao, David I. Inouye |
Towards Practical Non-Adversarial Distribution Matching. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | James Leiner, Aaditya Ramdas |
Graph fission and cross-validation. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Jeremy McMahan, Xiaojin Zhu 0001 |
Anytime-Constrained Reinforcement Learning. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Arnob Ghosh, Xingyu Zhou 0001, Ness B. Shroff |
Towards Achieving Sub-linear Regret and Hard Constraint Violation in Model-free RL. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Yin Liu, Sam Davanloo Tajbakhsh |
Fitting ARMA Time Series Models without Identification: A Proximal Approach. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Xi Wang, Tomas Geffner, Justin Domke |
Joint control variate for faster black-box variational inference. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Sree Harsha Tanneru, Chirag Agarwal, Himabindu Lakkaraju |
Quantifying Uncertainty in Natural Language Explanations of Large Language Models. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Hakuei Yamada, Junpei Komiyama, Kenshi Abe, Atsushi Iwasaki |
Learning Fair Division from Bandit Feedback. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Xiaoyang Wang, Dimitrios Dimitriadis, Sanmi Koyejo, Shruti Tople |
Invariant Aggregator for Defending against Federated Backdoor Attacks. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Haoyue Tang, Tian Xie, Aosong Feng, Hanyu Wang, Chenyang Zhang, Yang Bai |
Solving General Noisy Inverse Problem via Posterior Sampling: A Policy Gradient Viewpoint. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Ilyas Fatkhullin, Niao He |
Taming Nonconvex Stochastic Mirror Descent with General Bregman Divergence. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | John Hood, Aaron J. Schein |
The ALℓ0CORE Tensor Decomposition for Sparse Count Data. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Dominik Wagner, Basim Khajwal, Luke Ong |
Diagonalisation SGD: Fast & Convergent SGD for Non-Differentiable Models via Reparameterisation and Smoothing. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | David Rügamer |
Scalable Higher-Order Tensor Product Spline Models. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Huy Nguyen, Khai Nguyen, Nhat Ho |
On Parameter Estimation in Deviated Gaussian Mixture of Experts. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Yannick Eich, Bastian Alt, Heinz Koeppl |
Approximate Control for Continuous-Time POMDPs. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Yuhao Wang, Ming Gao, Wai Ming Tai, Bryon Aragam, Arnab Bhattacharyya 0001 |
Optimal estimation of Gaussian (poly)trees. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Zhi Zhang, Weijian Li, Han Liu |
Multivariate Time Series Forecasting By Graph Attention Networks With Theoretical Guarantees. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Jiaxin Zhang, Kamalika Das, Kumar Sricharan |
Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Yan Shen, Zhanghexuan Ji, Chunwei Ma, Mingchen Gao |
Continual Domain Adversarial Adaptation via Double-Head Discriminators. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Vinod Kumar Chauhan, Jiandong Zhou, Ghadeer O. Ghosheh, Soheila Molaei, David A. Clifton |
Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Kritkorn Karntikoon, Yiheng Shen, Sreenivas Gollapudi, Kostas Kollias, Aaron Schild, Ali Kemal Sinop |
First Passage Percolation with Queried Hints. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Barak Battash, Lior Wolf, Ofir Lindenbaum |
Revisiting the Noise Model of Stochastic Gradient Descent. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Clément Bénard, Jeffrey Näf, Julie Josse |
MMD-based Variable Importance for Distributional Random Forest. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Thomas L. Lee, Amos J. Storkey |
Approximate Bayesian Class-Conditional Models under Continuous Representation Shift. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Mengxiao Zhang, Haipeng Luo |
Online Learning in Contextual Second-Price Pay-Per-Click Auctions. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Tao Wen, Elynn Chen, Yuzhou Chen |
Tensor-view Topological Graph Neural Network. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Jie Hu, Vishwaraj Doshi, Do Young Eun |
Central Limit Theorem for Two-Timescale Stochastic Approximation with Markovian Noise: Theory and Applications. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Mohammad Mahmudul Alam, Edward Raff, Stella Biderman, Tim Oates 0001, James Holt |
Holographic Global Convolutional Networks for Long-Range Prediction Tasks in Malware Detection. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Shachi Deshpande, Charles Marx, Volodymyr Kuleshov |
Online Calibrated and Conformal Prediction Improves Bayesian Optimization. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Tong Wu |
Robust Data Clustering with Outliers via Transformed Tensor Low-Rank Representation. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Thuan Anh Trang, Nhat Khang Ngo, Daniel T. Levy, Ngoc Thieu Vo, Siamak Ravanbakhsh, Truong Son Hy |
E(3)-Equivariant Mesh Neural Networks. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Gabriel Laberge, Yann Batiste Pequignot, Mario Marchand, Foutse Khomh |
Tackling the XAI Disagreement Problem with Regional Explanations. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Alexander Tong 0001, Nikolay Malkin, Kilian Fatras, Lazar Atanackovic, Yanlei Zhang, Guillaume Huguet, Guy Wolf, Yoshua Bengio |
Simulation-Free Schrödinger Bridges via Score and Flow Matching. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Harit Vishwakarma, Heguang Lin, Ramya Korlakai Vinayak |
Taming False Positives in Out-of-Distribution Detection with Human Feedback. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Krzysztof Kacprzyk, Mihaela van der Schaar |
Shape Arithmetic Expressions: Advancing Scientific Discovery Beyond Closed-Form Equations. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Gennaro Gala, Cassio P. de Campos, Robert Peharz, Antonio Vergari, Erik Quaeghebeur |
Probabilistic Integral Circuits. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Florian Hübler, Junchi Yang, Xiang Li, Niao He |
Parameter-Agnostic Optimization under Relaxed Smoothness. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Yewon Byun, Dylan Sam, Michael Oberst, Zachary C. Lipton, Bryan Wilder |
Auditing Fairness under Unobserved Confounding. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Georg Pichler, Marco Romanelli 0002, Divya Prakash Manivannan, Prashanth Krishnamurthy, Farshad Khorrami, Siddharth Garg |
On the (In)feasibility of ML Backdoor Detection as an Hypothesis Testing Problem. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Jonathan So, Richard E. Turner |
Optimising Distributions with Natural Gradient Surrogates. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Tim Reichelt, Luke Ong, Tom Rainforth |
Beyond Bayesian Model Averaging over Paths in Probabilistic Programs with Stochastic Support. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Rafal Szlendak, Elnur Gasanov, Peter Richtárik |
Understanding Progressive Training Through the Framework of Randomized Coordinate Descent. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Tim G. J. Rudner, Ya Shi Zhang, Andrew Gordon Wilson, Julia Kempe |
Mind the GAP: Improving Robustness to Subpopulation Shifts with Group-Aware Priors. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Zitian Li, Wang Chi Cheung |
Best Arm Identification with Resource Constraints. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Daniel Robert-Nicoud, Andreas Krause 0001, Viacheslav Borovitskiy |
Intrinsic Gaussian Vector Fields on Manifolds. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Ulysse Gazin, Gilles Blanchard, Étienne Roquain |
Transductive conformal inference with adaptive scores. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Taehyo Kim, Hai Shu, Qiran Jia, Mony de Leon |
DeepFDR: A Deep Learning-based False Discovery Rate Control Method for Neuroimaging Data. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Junyi Fan, Yuxuan Han, Jialin Zeng, Jian-Feng Cai 0001, Yang Wang, Yang Xiang, Jiheng Zhang |
RL in Markov Games with Independent Function Approximation: Improved Sample Complexity Bound under the Local Access Model. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Sobhan Mohammadpour, Emmanuel Bengio, Emma Frejinger, Pierre-Luc Bacon |
Maximum entropy GFlowNets with soft Q-learning. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Miguel Fuentes, Brett C. Mullins, Ryan McKenna, Gerome Miklau, Daniel Sheldon |
Joint Selection: Adaptively Incorporating Public Information for Private Synthetic Data. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Changhao Shi, Gal Mishne |
Learning Cartesian Product Graphs with Laplacian Constraints. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Hanlin Yu, Marcelo Hartmann, Bernardo Williams Moreno Sanchez, Mark Girolami, Arto Klami |
Riemannian Laplace Approximation with the Fisher Metric. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Alessio Mazzetto |
An Improved Algorithm for Learning Drifting Discrete Distributions. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Mehdi Jafarnia-Jahromi, Rahul A. Jain, Ashutosh Nayyar |
A Bayesian Learning Algorithm for Unknown Zero-sum Stochastic Games with an Arbitrary Opponent. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Damien Ferbach, Baptiste Goujaud, Gauthier Gidel, Aymeric Dieuleveut |
Proving Linear Mode Connectivity of Neural Networks via Optimal Transport. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Shintaro Nakamura, Masashi Sugiyama |
Fixed-Budget Real-Valued Combinatorial Pure Exploration of Multi-Armed Bandit. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Haoyue Dai, Ignavier Ng, Yujia Zheng, Zhengqing Gao, Kun Zhang 0001 |
Local Causal Discovery with Linear non-Gaussian Cyclic Models. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Xavier Dupuis, Patrick Tardivel |
The Solution Path of SLOPE. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Wenxuan Bao, Jun Wu, Jingrui He |
BOBA: Byzantine-Robust Federated Learning with Label Skewness. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Paul Viallard, Rémi Emonet, Amaury Habrard, Emilie Morvant, Valentina Zantedeschi |
Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Katherine Tsai, Stephen R. Pfohl, Olawale Salaudeen, Nicole Chiou, Matt J. Kusner, Alexander D'Amour, Sanmi Koyejo, Arthur Gretton |
Proxy Methods for Domain Adaptation. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Yuqin Yang, Saber Salehkaleybar, Negar Kiyavash |
Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Miguel Biron-Lattes, Nikola Surjanovic, Saifuddin Syed, Trevor Campbell, Alexandre Bouchard-Côté |
autoMALA: Locally adaptive Metropolis-adjusted Langevin algorithm. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Teodora Pandeva, Patrick Forré, Aaditya Ramdas, Shubhanshu Shekhar |
Deep anytime-valid hypothesis testing. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Anton Frederik Thielmann, René-Marcel Kruse, Thomas Kneib, Benjamin Säfken |
Neural Additive Models for Location Scale and Shape: A Framework for Interpretable Neural Regression Beyond the Mean. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Zhenzhang Ye, Gabriel Peyré, Daniel Cremers, Pierre Ablin |
Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterization. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Prakhar Verma, Vincent Adam, Arno Solin |
Variational Gaussian Process Diffusion Processes. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Samuel Showalter, Alex J. Boyd, Padhraic Smyth, Mark Steyvers |
Bayesian Online Learning for Consensus Prediction. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Xunzhi Xiang, Kun Jing, Jungang Xu |
A Neural Architecture Predictor based on GNN-Enhanced Transformer. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Daichi Amagata |
Fair k-center Clustering with Outliers. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Haobo Chen, Gregory W. Wornell, Yuheng Bu |
Gibbs-Based Information Criteria and the Over-Parameterized Regime. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Kai Lion, Lorenzo Noci, Thomas Hofmann, Gregor Bachmann |
How Good is a Single Basin? |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Chen Amiraz, Robert Krauthgamer, Boaz Nadler |
Recovery Guarantees for Distributed-OMP. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Chinmaya Kausik, Yangyi Lu, Kevin Tan, Maggie Makar, Yixin Wang, Ambuj Tewari |
Offline Policy Evaluation and Optimization Under Confounding. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Zongyu Dai, Emily J. Getzen, Qi Long |
SADI: Similarity-Aware Diffusion Model-Based Imputation for Incomplete Temporal EHR Data. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Zirui Yan, Dennis Wei, Dmitriy A. Katz, Prasanna Sattigeri, Ali Tajer |
Causal Bandits with General Causal Models and Interventions. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Kenny Olsen, Rasmus M. Hoeegh Lindrup, Morten Mørup |
Think Global, Adapt Local: Learning Locally Adaptive K-Nearest Neighbor Kernel Density Estimators. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | He Chen, Haochen Xu, Rujun Jiang, Anthony Man-Cho So |
Lower-level Duality Based Reformulation and Majorization Minimization Algorithm for Hyperparameter Optimization. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Shibo Li, Xin Yu 0003, Wei W. Xing, Robert M. Kirby, Akil Narayan 0001, Shandian Zhe |
Multi-Resolution Active Learning of Fourier Neural Operators. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Yuko Kuroki, Alberto Rumi, Taira Tsuchiya, Fabio Vitale, Nicolò Cesa-Bianchi |
Best-of-Both-Worlds Algorithms for Linear Contextual Bandits. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Jinwon Sohn, Qifan Song, Guang Lin |
Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Ambrus Tamás, Szabolcs Szentpéteri, Balázs Csanád Csáji |
Data-Driven Confidence Intervals with Optimal Rates for the Mean of Heavy-Tailed Distributions. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Ying Jin, Ramki Gummadi, Zhengyuan Zhou, Jose H. Blanchet |
Feasible Q-Learning for Average Reward Reinforcement Learning. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | MohammadHossein Bateni, Vincent Cohen-Addad, Alessandro Epasto, Silvio Lattanzi |
A Scalable Algorithm for Individually Fair k-Means Clustering. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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