| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Nisha Chandramoorthy, Florian T. Schaefer, Youssef M. Marzouk |
Score Operator Newton transport.  |
AISTATS  |
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. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Juliette Achddou, Nicolò Cesa-Bianchi, Pierre Laforgue |
Multitask Online Learning: Listen to the Neighborhood Buzz. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Steven Bilaj, Sofien Dhouib, Setareh Maghsudi |
Meta Learning in Bandits within shared affine Subspaces. |
AISTATS |
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. |
AISTATS |
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. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Hedda Cohen Indelman, Tamir Hazan |
Learning Latent Partial Matchings with Gumbel-IPF Networks. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Freddie Bickford Smith, Adam Foster 0001, Tom Rainforth |
Making Better Use of Unlabelled Data in Bayesian Active Learning. |
AISTATS |
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. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Yixin Ren, Yewei Xia, Hao Zhang 0079, Jihong Guan, Shuigeng Zhou |
Learning Adaptive Kernels for Statistical Independence Tests. |
AISTATS |
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. |
AISTATS |
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. |
AISTATS |
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. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Myrl G. Marmarelis, Fred Morstatter, Aram Galstyan, Greg Ver Steeg |
Policy Learning for Localized Interventions from Observational Data. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Yunfan Li, Lin Yang |
On the Model-Misspecification in Reinforcement Learning. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Aakash Sunil Lahoti, Spandan Senapati, Ketan Rajawat, Alec Koppel |
Sharpened Lazy Incremental Quasi-Newton Method. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Shuo Shuo Liu |
Unified Transfer Learning in High-Dimensional Linear Regression. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Raphael Rossellini, Rina Foygel Barber, Rebecca Willett |
Integrating Uncertainty Awareness into Conformalized Quantile Regression. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Mishfad Shaikh Veedu, Deepjyoti Deka, Murti V. Salapaka |
Information Theoretically Optimal Sample Complexity of Learning Dynamical Directed Acyclic Graphs. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Divyansh Jhunjhunwala, Shiqiang Wang 0001, Gauri Joshi |
FedFisher: Leveraging Fisher Information for One-Shot Federated Learning. |
AISTATS |
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. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Kais Hariz, Hachem Kadri, Stéphane Ayache, Maher Moakher, Thierry Artières |
Implicit Regularization in Deep Tucker Factorization: Low-Rankness via Structured Sparsity. |
AISTATS |
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. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Zihao Hu, Guanghui Wang, Xi Wang, Andre Wibisono, Jacob D. Abernethy, Molei Tao |
Extragradient Type Methods for Riemannian Variational Inequality Problems. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Marcelo Pereyra, Julián Tachella |
Equivariant bootstrapping for uncertainty quantification in imaging inverse problems. |
AISTATS |
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. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Wei Zhang, Zhenni Wang |
Restricted Isometry Property of Rank-One Measurements with Random Unit-Modulus Vectors. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Zelin He, Ying Sun, Runze Li |
TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression. |
AISTATS |
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. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Sijin Chen, Zhize Li, Yuejie Chi |
Escaping Saddle Points in Heterogeneous Federated Learning via Distributed SGD with Communication Compression. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Jiachen T. Wang, Prateek Mittal, Ruoxi Jia 0001 |
Efficient Data Shapley for Weighted Nearest Neighbor Algorithms. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Prarabdh Shukla, Gagan Raj Gupta, Kunal Dutta |
DiffRed: Dimensionality reduction guided by stable rank. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Taemin Heo, Chandrajit Bajaj |
Sample Efficient Learning of Factored Embeddings of Tensor Fields. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Kaiwen Wu, Jonathan Wenger, Haydn T. Jones, Geoff Pleiss, Jacob Gardner |
Large-Scale Gaussian Processes via Alternating Projection. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Yue Liu, Ziyi Yu, Zitu Liu, Wenjie Tian |
Efficient Neural Architecture Design via Capturing Architecture-Performance Joint Distribution. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Adela Frances DePavia, Erasmo Tani, Ali Vakilian |
Learning-Based Algorithms for Graph Searching Problems. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Kevin Scaman, Mathieu Even, Batiste Le Bars, Laurent Massoulié |
Minimax Excess Risk of First-Order Methods for Statistical Learning with Data-Dependent Oracles. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Momin Abbas, Yi Zhou, Parikshit Ram, Nathalie Baracaldo, Horst Samulowitz, Theodoros Salonidis, Tianyi Chen |
Enhancing In-context Learning via Linear Probe Calibration. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Alejandro D. de la Concha Duarte, Nicolas Vayatis, Argyris Kalogeratos |
Online non-parametric likelihood-ratio estimation by Pearson-divergence functional minimization. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Nivasini Ananthakrishnan, Stephen Bates, Michael I. Jordan, Nika Haghtalab |
Delegating Data Collection in Decentralized Machine Learning. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Sanath Kumar Krishnamurthy, Adrienne M. Propp, Susan Athey |
Towards Costless Model Selection in Contextual Bandits: A Bias-Variance Perspective. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Martin Jankowiak, Du Phan |
Reparameterized Variational Rejection Sampling. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Enea Monzio Compagnoni, Antonio Orvieto, Hans Kersting, Frank Proske, Aurélien Lucchi |
SDEs for Minimax Optimization. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Amber Yijia Zheng, Tong He 0002, Yixuan Qiu, Minjie Wang, David Wipf |
Graph Machine Learning through the Lens of Bilevel Optimization. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 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. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Dominik Janzing, Patrick Blöbaum, Atalanti-Anastasia Mastakouri, Philipp Michael Faller, Lenon Minorics, Kailash Budhathoki |
Quantifying intrinsic causal contributions via structure preserving interventions. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Shogo Iwazaki, Tomohiko Tanabe, Mitsuru Irie, Shion Takeno, Yu Inatsu |
Risk Seeking Bayesian Optimization under Uncertainty for Obtaining Extremum. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Kyurae Kim, Yian Ma, Jacob Gardner |
Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing? |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Chungpa Lee, Joonhwan Chang, Jy-yong Sohn |
Analysis of Using Sigmoid Loss for Contrastive Learning. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Federica Granese, Marco Romanelli 0002, Pablo Piantanida |
Optimal Zero-Shot Detector for Multi-Armed Attacks. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Sarah Dean, Mihaela Curmei, Lillian J. Ratliff, Jamie Morgenstern, Maryam Fazel |
Emergent specialization from participation dynamics and multi-learner retraining. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 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. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 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. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Efe Mert Karagözlü, Yasar Cahit Yildirim, Çagin Ararat, Cem Tekin |
Learning the Pareto Set Under Incomplete Preferences: Pure Exploration in Vector Bandits. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Yanxiang Gong, Zhiwei Xie 0002, Mei Xie, Xin Ma 0004 |
Testing Generated Distributions in GANs to Penalize Mode Collapse. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Jiawei Huang, Batuhan Yardim, Niao He |
On the Statistical Efficiency of Mean-Field Reinforcement Learning with General Function Approximation. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Feihu Huang, Xinrui Wang, Junyi Li, Songcan Chen |
Adaptive Federated Minimax Optimization with Lower Complexities. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Shibal Ibrahim, Kayhan Behdin, Rahul Mazumder |
End-to-end Feature Selection Approach for Learning Skinny Trees. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Guillaume Braun, Masashi Sugiyama |
VEC-SBM: Optimal Community Detection with Vectorial Edges Covariates. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Martin Sevilla, Antonio G. Marques, Santiago Segarra |
Estimation of partially known Gaussian graphical models with score-based structural priors. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Jianwei Shen, Jason Pacheco |
Efficient Variational Sequential Information Control. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Arnab Auddy, Haolin Zou, Kamiar Rahnama Rad, Arian Maleki |
Approximate Leave-one-out Cross Validation for Regression with ℓ1 Regularizers. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Filip Ekström Kelvinius, Fredrik Lindsten |
Discriminator Guidance for Autoregressive Diffusion Models. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Declan McNamara, Jackson Loper, Jeffrey Regier |
Sequential Monte Carlo for Inclusive KL Minimization in Amortized Variational Inference. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Frederiek Wesel, Kim Batselier |
Quantized Fourier and Polynomial Features for more Expressive Tensor Network Models. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Daniil Tiapkin, Nikita Morozov, Alexey Naumov, Dmitry P. Vetrov |
Generative Flow Networks as Entropy-Regularized RL. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 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. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Zhishuai Liu, Pan Xu |
Distributionally Robust Off-Dynamics Reinforcement Learning: Provable Efficiency with Linear Function Approximation. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Bitya Neuhof, Yuval Benjamini |
Confident Feature Ranking. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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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. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Steven Braun, Martin Mundt, Kristian Kersting |
Deep Classifier Mimicry without Data Access. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Vincent Hsiao, Dana S. Nau, Bobak Pezeshki, Rina Dechter |
Surrogate Bayesian Networks for Approximating Evolutionary Games. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Helen Zhou, Audrey Huang, Kamyar Azizzadenesheli, David Childers, Zachary C. Lipton |
Timing as an Action: Learning When to Observe and Act. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Xinrui Ruan, Jingshen Wang, Yingfei Wang, Waverly Wei |
Electronic Medical Records Assisted Digital Clinical Trial Design. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Zhaoyang Shi, Krishna Balasubramanian, Wolfgang Polonik |
Adaptive and non-adaptive minimax rates for weighted Laplacian-Eigenmap based nonparametric regression. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Ali Ebrahimpour Boroojeny, Matus Telgarsky, Hari Sundaram |
Spectrum Extraction and Clipping for Implicitly Linear Layers. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Jiulin Wang, Xu Shi, Rujun Jiang |
Near-Optimal Convex Simple Bilevel Optimization with a Bisection Method. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Zhi Zhang, Chenyu Ma, Saleh Soudijani, Sadegh Soudjani |
Formal Verification of Unknown Stochastic Systems via Non-parametric Estimation. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Wei-Ning Chen, Graham Cormode, Akash Bharadwaj, Peter Romov, Ayfer Özgür |
Federated Experiment Design under Distributed Differential Privacy. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Alex Oesterling, Jiaqi Ma, Flávio P. Calmon, Himabindu Lakkaraju |
Fair Machine Unlearning: Data Removal while Mitigating Disparities. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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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. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Joshua John Ward, Xianli Zeng, Guang Cheng |
FairRR: Pre-Processing for Group Fairness through Randomized Response. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Dorian Baudry, Nadav Merlis, Mathieu Benjamin Molina, Hugo Richard, Vianney Perchet |
Multi-armed bandits with guaranteed revenue per arm. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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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. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Zhenyu Zhang, JiuDong Yang |
HintMiner: Automatic Question Hints Mining From Q&A Web Posts with Language Model via Self-Supervised Learning. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | José Manuel de Frutos, Pablo M. Olmos, Manuel Alberto Vazquez Lopez, Joaquín Míguez |
Training Implicit Generative Models via an Invariant Statistical Loss. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Daniel Carmon, Amir Yehudayoff, Roi Livni |
The sample complexity of ERMs in stochastic convex optimization. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Ahmet Alacaoglu, Stephen J. Wright 0001 |
Complexity of Single Loop Algorithms for Nonlinear Programming with Stochastic Objective and Constraints. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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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. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Zhao Lyu, Wai Ming Tai, Mladen Kolar, Bryon Aragam |
Inconsistency of Cross-Validation for Structure Learning in Gaussian Graphical Models. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Sangil Han, Sungkyu Jung, Kyoowon Kim |
Robust SVD Made Easy: A fast and reliable algorithm for large-scale data analysis. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Germano Gabbianelli, Gergely Neu, Matteo Papini, Nneka Okolo |
Offline Primal-Dual Reinforcement Learning for Linear MDPs. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Weichen Wu, Jisu Kim, Alessandro Rinaldo |
On the estimation of persistence intensity functions and linear representations of persistence diagrams. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Cheuk Ting Li, Jingwei Zhang, Farzan Farnia |
On Convergence in Wasserstein Distance and f-divergence Minimization Problems. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Fan Yang, Pierre Le Bodic, Michael Kamp, Mario Boley |
Orthogonal Gradient Boosting for Simpler Additive Rule Ensembles. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Tingting Ou, Rachel Cummings, Marco Avella |
Thompson Sampling Itself is Differentially Private. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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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. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Ha Manh Bui, Anqi Liu |
Density-Regression: Efficient and Distance-aware Deep Regressor for Uncertainty Estimation under Distribution Shifts. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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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. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Min Cheng, Ruida Zhou, P. R. Kumar 0001, Chao Tian 0002 |
Provable Policy Gradient Methods for Average-Reward Markov Potential Games. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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