Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
1 | Nisha Chandramoorthy, Florian T. Schaefer, Youssef M. Marzouk |
Score Operator Newton transport. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 3349-3357, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
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1 | Minh N. Vu, Truc D. T. Nguyen, Tre' R. Jeter, My T. Thai |
Analysis of Privacy Leakage in Federated Large Language Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 1423-1431, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
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1 | Juliette Achddou, Nicolò Cesa-Bianchi, Pierre Laforgue |
Multitask Online Learning: Listen to the Neighborhood Buzz. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 1846-1854, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
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1 | Steven Bilaj, Sofien Dhouib, Setareh Maghsudi |
Meta Learning in Bandits within shared affine Subspaces. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 523-531, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
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1 | Vincent Souveton, Arnaud Guillin, Jens Jasche, Guilhem Lavaux, Manon Michel |
Fixed-kinetic Neural Hamiltonian Flows for enhanced interpretability and reduced complexity. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 3178-3186, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
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1 | Tuukka Korhonen, Fedor V. Fomin, Pekka Parviainen |
Structural perspective on constraint-based learning of Markov networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 1855-1863, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
|
1 | Hedda Cohen Indelman, Tamir Hazan |
Learning Latent Partial Matchings with Gumbel-IPF Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 1513-1521, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
|
1 | Freddie Bickford Smith, Adam Foster 0001, Tom Rainforth |
Making Better Use of Unlabelled Data in Bayesian Active Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 847-855, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
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1 | Moshe Eliasof, Eldad Haber, Eran Treister, Carola-Bibiane Schönlieb |
On The Temporal Domain of Differential Equation Inspired Graph Neural Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 1792-1800, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
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1 | Yixin Ren, Yewei Xia, Hao Zhang 0079, Jihong Guan, Shuigeng Zhou |
Learning Adaptive Kernels for Statistical Independence Tests. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 2494-2502, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
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1 | Ahmad Rashid, Serena Hacker, Guojun Zhang, Agustinus Kristiadi, Pascal Poupart |
Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 3034-3042, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
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1 | Kuba Grudzien Kuba, Masatoshi Uehara, Sergey Levine, Pieter Abbeel |
Functional Graphical Models: Structure Enables Offline Data-Driven Optimization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 2449-2457, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
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1 | Yann Fraboni, Martin Van Waerebeke, Kevin Scaman, Richard Vidal, Laetitia Kameni, Marco Lorenzi |
SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 3457-3465, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
|
1 | Myrl G. Marmarelis, Fred Morstatter, Aram Galstyan, Greg Ver Steeg |
Policy Learning for Localized Interventions from Observational Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 4456-4464, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
|
1 | Yunfan Li, Lin Yang |
On the Model-Misspecification in Reinforcement Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 2764-2772, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
|
1 | Aakash Sunil Lahoti, Spandan Senapati, Ketan Rajawat, Alec Koppel |
Sharpened Lazy Incremental Quasi-Newton Method. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 4735-4743, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
|
1 | Shuo Shuo Liu |
Unified Transfer Learning in High-Dimensional Linear Regression. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 1036-1044, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
|
1 | Raphael Rossellini, Rina Foygel Barber, Rebecca Willett |
Integrating Uncertainty Awareness into Conformalized Quantile Regression. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 1540-1548, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
|
1 | Mishfad Shaikh Veedu, Deepjyoti Deka, Murti V. Salapaka |
Information Theoretically Optimal Sample Complexity of Learning Dynamical Directed Acyclic Graphs. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 4636-4644, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
|
1 | Divyansh Jhunjhunwala, Shiqiang Wang 0001, Gauri Joshi |
FedFisher: Leveraging Fisher Information for One-Shot Federated Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 1612-1620, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
|
1 | Shuqi Liu, Yuzhou Cao, Qiaozhen Zhang, Lei Feng, Bo An 0001 |
Mitigating Underfitting in Learning to Defer with Consistent Losses. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 4816-4824, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
|
1 | Kais Hariz, Hachem Kadri, Stéphane Ayache, Maher Moakher, Thierry Artières |
Implicit Regularization in Deep Tucker Factorization: Low-Rankness via Structured Sparsity. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 2359-2367, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
|
1 | Zhou Zhai, Wanli Shi, Heng Huang, Yi Chang, Bin Gu 0001 |
Learning Sampling Policy to Achieve Fewer Queries for Zeroth-Order Optimization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 1162-1170, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
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1 | Zihao Hu, Guanghui Wang, Xi Wang, Andre Wibisono, Jacob D. Abernethy, Molei Tao |
Extragradient Type Methods for Riemannian Variational Inequality Problems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 2080-2088, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
|
1 | Marcelo Pereyra, Julián Tachella |
Equivariant bootstrapping for uncertainty quantification in imaging inverse problems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 4141-4149, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
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1 | Zulqarnain Khan, Davin Hill, Aria Masoomi, Joshua T. Bone, Jennifer G. Dy |
Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 1378-1386, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
|
1 | Wei Zhang, Zhenni Wang |
Restricted Isometry Property of Rank-One Measurements with Random Unit-Modulus Vectors. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 1900-1908, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
|
1 | Zelin He, Ying Sun, Runze Li |
TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 703-711, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
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1 | N. Benjamin Erichson, Soon Hoe Lim, Winnie Xu, Francisco Utrera, Ziang Cao, Michael W. Mahoney |
NoisyMix: Boosting Model Robustness to Common Corruptions. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 4033-4041, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
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1 | Sijin Chen, Zhize Li, Yuejie Chi |
Escaping Saddle Points in Heterogeneous Federated Learning via Distributed SGD with Communication Compression. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 2701-2709, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
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1 | Jiachen T. Wang, Prateek Mittal, Ruoxi Jia 0001 |
Efficient Data Shapley for Weighted Nearest Neighbor Algorithms. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 2557-2565, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
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1 | Prarabdh Shukla, Gagan Raj Gupta, Kunal Dutta |
DiffRed: Dimensionality reduction guided by stable rank. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 3430-3438, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
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1 | Taemin Heo, Chandrajit Bajaj |
Sample Efficient Learning of Factored Embeddings of Tensor Fields. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 4591-4599, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
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1 | Kaiwen Wu, Jonathan Wenger, Haydn T. Jones, Geoff Pleiss, Jacob Gardner |
Large-Scale Gaussian Processes via Alternating Projection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 2620-2628, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
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1 | Yue Liu, Ziyi Yu, Zitu Liu, Wenjie Tian |
Efficient Neural Architecture Design via Capturing Architecture-Performance Joint Distribution. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 1738-1746, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
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1 | Adela Frances DePavia, Erasmo Tani, Ali Vakilian |
Learning-Based Algorithms for Graph Searching Problems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 928-936, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
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1 | Kevin Scaman, Mathieu Even, Batiste Le Bars, Laurent Massoulié |
Minimax Excess Risk of First-Order Methods for Statistical Learning with Data-Dependent Oracles. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 3709-3717, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
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1 | Momin Abbas, Yi Zhou, Parikshit Ram, Nathalie Baracaldo, Horst Samulowitz, Theodoros Salonidis, Tianyi Chen |
Enhancing In-context Learning via Linear Probe Calibration. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 307-315, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
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1 | Alejandro D. de la Concha Duarte, Nicolas Vayatis, Argyris Kalogeratos |
Online non-parametric likelihood-ratio estimation by Pearson-divergence functional minimization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 1189-1197, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
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1 | Nivasini Ananthakrishnan, Stephen Bates, Michael I. Jordan, Nika Haghtalab |
Delegating Data Collection in Decentralized Machine Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 478-486, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
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1 | Sanath Kumar Krishnamurthy, Adrienne M. Propp, Susan Athey |
Towards Costless Model Selection in Contextual Bandits: A Bias-Variance Perspective. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 2476-2484, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
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1 | Martin Jankowiak, Du Phan |
Reparameterized Variational Rejection Sampling. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 739-747, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
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1 | Enea Monzio Compagnoni, Antonio Orvieto, Hans Kersting, Frank Proske, Aurélien Lucchi |
SDEs for Minimax Optimization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 4834-4842, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
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1 | Amber Yijia Zheng, Tong He 0002, Yixuan Qiu, Minjie Wang, David Wipf |
Graph Machine Learning through the Lens of Bilevel Optimization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 982-990, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
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1 | Tamim El Ahmad, Luc Brogat-Motte, Pierre Laforgue, Florence d'Alché-Buc |
Sketch In, Sketch Out: Accelerating both Learning and Inference for Structured Prediction with Kernels. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 109-117, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
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1 | Dominik Janzing, Patrick Blöbaum, Atalanti-Anastasia Mastakouri, Philipp Michael Faller, Lenon Minorics, Kailash Budhathoki |
Quantifying intrinsic causal contributions via structure preserving interventions. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 2188-2196, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
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1 | Shogo Iwazaki, Tomohiko Tanabe, Mitsuru Irie, Shion Takeno, Yu Inatsu |
Risk Seeking Bayesian Optimization under Uncertainty for Obtaining Extremum. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 1252-1260, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
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1 | Kyurae Kim, Yian Ma, Jacob Gardner |
Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing? ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 235-243, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
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1 | Chungpa Lee, Joonhwan Chang, Jy-yong Sohn |
Analysis of Using Sigmoid Loss for Contrastive Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 1747-1755, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
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1 | Federica Granese, Marco Romanelli 0002, Pablo Piantanida |
Optimal Zero-Shot Detector for Multi-Armed Attacks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 2467-2475, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
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1 | Sarah Dean, Mihaela Curmei, Lillian J. Ratliff, Jamie Morgenstern, Maryam Fazel |
Emergent specialization from participation dynamics and multi-learner retraining. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 343-351, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
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1 | Jiayi Huang, Han Zhong 0001, Liwei Wang, Lin Yang 0011 |
Horizon-Free and Instance-Dependent Regret Bounds for Reinforcement Learning with General Function Approximation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 3673-3681, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
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1 | Tuan Nguyen, Hirotada Honda, Takashi Sano, Vinh Nguyen, Shugo Nakamura, Tan Minh Nguyen |
From Coupled Oscillators to Graph Neural Networks: Reducing Over-smoothing via a Kuramoto Model-based Approach. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 2710-2718, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
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1 | Efe Mert Karagözlü, Yasar Cahit Yildirim, Çagin Ararat, Cem Tekin |
Learning the Pareto Set Under Incomplete Preferences: Pure Exploration in Vector Bandits. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 3070-3078, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
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1 | Yanxiang Gong, Zhiwei Xie 0002, Mei Xie, Xin Ma 0004 |
Testing Generated Distributions in GANs to Penalize Mode Collapse. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 442-450, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
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1 | Jiawei Huang, Batuhan Yardim, Niao He |
On the Statistical Efficiency of Mean-Field Reinforcement Learning with General Function Approximation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 289-297, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
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1 | Feihu Huang, Xinrui Wang, Junyi Li, Songcan Chen |
Adaptive Federated Minimax Optimization with Lower Complexities. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 4663-4671, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
DBLP BibTeX RDF |
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1 | Shibal Ibrahim, Kayhan Behdin, Rahul Mazumder |
End-to-end Feature Selection Approach for Learning Skinny Trees. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 2863-2871, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
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1 | Guillaume Braun, Masashi Sugiyama |
VEC-SBM: Optimal Community Detection with Vectorial Edges Covariates. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 532-540, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
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1 | Martin Sevilla, Antonio G. Marques, Santiago Segarra |
Estimation of partially known Gaussian graphical models with score-based structural priors. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 1558-1566, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
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1 | Jianwei Shen, Jason Pacheco |
Efficient Variational Sequential Information Control. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 3907-3915, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
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1 | Arnab Auddy, Haolin Zou, Kamiar Rahnama Rad, Arian Maleki |
Approximate Leave-one-out Cross Validation for Regression with ℓ1 Regularizers. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 2377-2385, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
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1 | Filip Ekström Kelvinius, Fredrik Lindsten |
Discriminator Guidance for Autoregressive Diffusion Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 3403-3411, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
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1 | Declan McNamara, Jackson Loper, Jeffrey Regier |
Sequential Monte Carlo for Inclusive KL Minimization in Amortized Variational Inference. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 4312-4320, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
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1 | Frederiek Wesel, Kim Batselier |
Quantized Fourier and Polynomial Features for more Expressive Tensor Network Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 1261-1269, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
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1 | Daniil Tiapkin, Nikita Morozov, Alexey Naumov, Dmitry P. Vetrov |
Generative Flow Networks as Entropy-Regularized RL. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 4213-4221, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
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1 | Cyrus Cousins, I. Elizabeth Kumar, Suresh Venkatasubramanian |
To Pool or Not To Pool: Analyzing the Regularizing Effects of Group-Fair Training on Shared Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 4573-4581, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
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1 | Zhishuai Liu, Pan Xu |
Distributionally Robust Off-Dynamics Reinforcement Learning: Provable Efficiency with Linear Function Approximation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 2719-2727, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
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1 | Bitya Neuhof, Yuval Benjamini |
Confident Feature Ranking. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 1468-1476, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
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1 | Shyam Sundhar Ramesh, Pier Giuseppe Sessa, Yifan Hu, Andreas Krause 0001, Ilija Bogunovic |
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 100-108, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
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1 | Steven Braun, Martin Mundt, Kristian Kersting |
Deep Classifier Mimicry without Data Access. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 4762-4770, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
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1 | Vincent Hsiao, Dana S. Nau, Bobak Pezeshki, Rina Dechter |
Surrogate Bayesian Networks for Approximating Evolutionary Games. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 2566-2574, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
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1 | Helen Zhou, Audrey Huang, Kamyar Azizzadenesheli, David Childers, Zachary C. Lipton |
Timing as an Action: Learning When to Observe and Act. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 3979-3987, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
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1 | Xinrui Ruan, Jingshen Wang, Yingfei Wang, Waverly Wei |
Electronic Medical Records Assisted Digital Clinical Trial Design. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 2836-2844, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
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1 | Zhaoyang Shi, Krishna Balasubramanian, Wolfgang Polonik |
Adaptive and non-adaptive minimax rates for weighted Laplacian-Eigenmap based nonparametric regression. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 2800-2808, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
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1 | Ali Ebrahimpour Boroojeny, Matus Telgarsky, Hari Sundaram |
Spectrum Extraction and Clipping for Implicitly Linear Layers. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 2971-2979, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
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1 | Jiulin Wang, Xu Shi, Rujun Jiang |
Near-Optimal Convex Simple Bilevel Optimization with a Bisection Method. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 2008-2016, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
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1 | Zhi Zhang, Chenyu Ma, Saleh Soudijani, Sadegh Soudjani |
Formal Verification of Unknown Stochastic Systems via Non-parametric Estimation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 3277-3285, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
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1 | Wei-Ning Chen, Graham Cormode, Akash Bharadwaj, Peter Romov, Ayfer Özgür |
Federated Experiment Design under Distributed Differential Privacy. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 2458-2466, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
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1 | Alex Oesterling, Jiaqi Ma, Flávio P. Calmon, Himabindu Lakkaraju |
Fair Machine Unlearning: Data Removal while Mitigating Disparities. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 3736-3744, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
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1 | Teodora Popordanoska, Sebastian Gregor Gruber, Aleksei Tiulpin, Florian Büttner, Matthew B. Blaschko |
Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 3466-3474, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
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1 | Joshua John Ward, Xianli Zeng, Guang Cheng |
FairRR: Pre-Processing for Group Fairness through Randomized Response. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 3826-3834, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
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1 | Dorian Baudry, Nadav Merlis, Mathieu Benjamin Molina, Hugo Richard, Vianney Perchet |
Multi-armed bandits with guaranteed revenue per arm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 379-387, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
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1 | Soheila Molaei, Anshul Thakur, Ghazaleh Niknam, Andrew A. S. Soltan, Hadi Zare 0001, David A. Clifton |
Federated Learning For Heterogeneous Electronic Health Records Utilising Augmented Temporal Graph Attention Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 1342-1350, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
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1 | Zhenyu Zhang, JiuDong Yang |
HintMiner: Automatic Question Hints Mining From Q&A Web Posts with Language Model via Self-Supervised Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 271-279, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
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1 | José Manuel de Frutos, Pablo M. Olmos, Manuel Alberto Vazquez Lopez, Joaquín Míguez |
Training Implicit Generative Models via an Invariant Statistical Loss. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 2026-2034, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
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1 | Daniel Carmon, Amir Yehudayoff, Roi Livni |
The sample complexity of ERMs in stochastic convex optimization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 3799-3807, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
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1 | Ahmet Alacaoglu, Stephen J. Wright 0001 |
Complexity of Single Loop Algorithms for Nonlinear Programming with Stochastic Objective and Constraints. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 4627-4635, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
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1 | Junghyun Lee, Se-Young Yun, Kwang-Sung Jun |
Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 4474-4482, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
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1 | Zhao Lyu, Wai Ming Tai, Mladen Kolar, Bryon Aragam |
Inconsistency of Cross-Validation for Structure Learning in Gaussian Graphical Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 3691-3699, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
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1 | Sangil Han, Sungkyu Jung, Kyoowon Kim |
Robust SVD Made Easy: A fast and reliable algorithm for large-scale data analysis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 1765-1773, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
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1 | Germano Gabbianelli, Gergely Neu, Matteo Papini, Nneka Okolo |
Offline Primal-Dual Reinforcement Learning for Linear MDPs. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 3169-3177, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
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1 | Weichen Wu, Jisu Kim, Alessandro Rinaldo |
On the estimation of persistence intensity functions and linear representations of persistence diagrams. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 3610-3618, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
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1 | Cheuk Ting Li, Jingwei Zhang, Farzan Farnia |
On Convergence in Wasserstein Distance and f-divergence Minimization Problems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 2062-2070, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
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1 | Fan Yang, Pierre Le Bodic, Michael Kamp, Mario Boley |
Orthogonal Gradient Boosting for Simpler Additive Rule Ensembles. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 1117-1125, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
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1 | Tingting Ou, Rachel Cummings, Marco Avella |
Thompson Sampling Itself is Differentially Private. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 1576-1584, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
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1 | Emmanouil-Vasileios Vlatakis-Gkaragkounis, Angeliki Giannou, Yudong Chen 0001, Qiaomin Xie |
Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 4123-4131, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
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1 | Ha Manh Bui, Anqi Liu |
Density-Regression: Efficient and Distance-aware Deep Regressor for Uncertainty Estimation under Distribution Shifts. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 2998-3006, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
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1 | Mathieu Dagréou, Thomas Moreau 0001, Samuel Vaiter, Pierre Ablin |
A Lower Bound and a Near-Optimal Algorithm for Bilevel Empirical Risk Minimization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 82-90, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
2024 |
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1 | Min Cheng, Ruida Zhou, P. R. Kumar 0001, Chao Tian 0002 |
Provable Policy Gradient Methods for Average-Reward Markov Potential Games. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: International Conference on Artificial Intelligence and Statistics, 2-4 May 2024, Palau de Congressos, Valencia, Spain., pp. 4699-4707, 2024, PMLR. The full citation details ...](Pics/full.jpeg) |
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