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Found 4458 publication records. Showing 4458 according to the selection in the facets
| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | François Bachoc, Louis Béthune, Alberto González-Sanz, Jean-Michel Loubes |
Gaussian Processes on Distributions based on Regularized Optimal Transport.  |
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2023 |
DBLP BibTeX RDF |
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| 1 | Koki Okajima, Xiangming Meng, Takashi Takahashi, Yoshiyuki Kabashima |
Average case analysis of Lasso under ultra sparse conditions. |
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2023 |
DBLP BibTeX RDF |
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| 1 | Yohan Jung, Jinkyoo Park |
Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior. |
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2023 |
DBLP BibTeX RDF |
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| 1 | Manuele Leonelli, Gherardo Varando |
Context-Specific Causal Discovery for Categorical Data Using Staged Trees. |
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2023 |
DBLP BibTeX RDF |
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| 1 | Giannis Nikolentzos, Michalis Vazirgiannis |
Geometric Random Walk Graph Neural Networks via Implicit Layers. |
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2023 |
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| 1 | Simon Bartels, Kristoffer Stensbo-Smidt, Pablo Moreno-Muñoz, Wouter Boomsma, Jes Frellsen, Søren Hauberg |
Adaptive Cholesky Gaussian Processes. |
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2023 |
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| 1 | Chieh-Hsin Lai, Dongmian Zou, Gilad Lerman |
Robust Variational Autoencoding with Wasserstein Penalty for Novelty Detection. |
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2023 |
DBLP BibTeX RDF |
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| 1 | Karim Tit, Teddy Furon, Mathias Rousset |
Gradient-Informed Neural Network Statistical Robustness Estimation. |
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2023 |
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| 1 | Mingtian Zhang, Yitong Sun, Chen Zhang, Steven McDonagh |
Spread Flows for Manifold Modelling. |
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2023 |
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| 1 | Syrine Belakaria, Janardhan Rao Doppa, Nicolò Fusi, Rishit Sheth |
Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach. |
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2023 |
DBLP BibTeX RDF |
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| 1 | Minyoung Kim |
SwAMP: Swapped Assignment of Multi-Modal Pairs for Cross-Modal Retrieval. |
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2023 |
DBLP BibTeX RDF |
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| 1 | Muhammad Aneeq uz Zaman, Alec Koppel, Sujay Bhatt, Tamer Basar |
Oracle-free Reinforcement Learning in Mean-Field Games along a Single Sample Path. |
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2023 |
DBLP BibTeX RDF |
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| 1 | Andrew Stirn, Harm Wessels, Megan Schertzer, Laura Pereira, Neville E. Sanjana, David A. Knowles |
Faithful Heteroscedastic Regression with Neural Networks. |
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2023 |
DBLP BibTeX RDF |
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| 1 | Ralph E. Q. Urlus, Max Baak, Stéphane Collot, Ilan Fridman Rojas |
Pointwise sampling uncertainties on the Precision-Recall curve. |
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2023 |
DBLP BibTeX RDF |
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| 1 | Jieyu Zhang, Linxin Song, Alex Ratner |
Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision. |
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2023 |
DBLP BibTeX RDF |
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| 1 | Yiling Luo, Yiling Xie, Xiaoming Huo |
Improved Rate of First Order Algorithms for Entropic Optimal Transport. |
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2023 |
DBLP BibTeX RDF |
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| 1 | Sung Jae Jun, Sokbae Lee |
Average Adjusted Association: Efficient Estimation with High Dimensional Confounders. |
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2023 |
DBLP BibTeX RDF |
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| 1 | Benjamin Howson, Ciara Pike-Burke, Sarah Filippi |
Optimism and Delays in Episodic Reinforcement Learning. |
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2023 |
DBLP BibTeX RDF |
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| 1 | Imad Aouali, Branislav Kveton, Sumeet Katariya |
Mixed-Effect Thompson Sampling. |
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2023 |
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| 1 | Qihan Wang, Chen Dun, Fangshuo Liao, Chris Jermaine, Anastasios Kyrillidis |
LOFT: Finding Lottery Tickets through Filter-wise Training. |
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2023 |
DBLP BibTeX RDF |
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| 1 | Natraj Raman, Daniele Magazzeni, Sameena Shah |
Bayesian Hierarchical Models for Counterfactual Estimation. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Yingying Zhang, Chengchun Shi, Shikai Luo |
Conformal Off-Policy Prediction. |
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2023 |
DBLP BibTeX RDF |
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| 1 | Jiachen T. Wang, Ruoxi Jia 0001 |
Data Banzhaf: A Robust Data Valuation Framework for Machine Learning. |
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2023 |
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| 1 | Tristan Cinquin, Tammo Rukat, Philipp Schmidt 0002, Martin Wistuba, Artur Bekasov |
Variational Boosted Soft Trees. |
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2023 |
DBLP BibTeX RDF |
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| 1 | Hongchang Gao, Bin Gu 0001, My T. Thai |
On the Convergence of Distributed Stochastic Bilevel Optimization Algorithms over a Network. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Yu Wang, Mikolaj Kasprzak, Jonathan H. Huggins |
A Targeted Accuracy Diagnostic for Variational Approximations. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Mojmir Mutny, Tadeusz Janik, Andreas Krause 0001 |
Active Exploration via Experiment Design in Markov Chains. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Aldo Gael Carranza, Sanath Kumar Krishnamurthy, Susan Athey |
Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracles. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Suya Wu, Enmao Diao, Taposh Banerjee, Jie Ding 0002, Vahid Tarokh |
Score-based Quickest Change Detection for Unnormalized Models. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Yucheng Wang, Mingyuan Zhou, Yu Sun 0004, Xiaoning Qian |
Uncertainty-aware Unsupervised Video Hashing. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Zhaozhuo Xu, Zhao Song 0002, Anshumali Shrivastava |
A Tale of Two Efficient Value Iteration Algorithms for Solving Linear MDPs with Large Action Space. |
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2023 |
DBLP BibTeX RDF |
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| 1 | Hongjian Wang, Aaditya Ramdas |
Huber-robust confidence sequences. |
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2023 |
DBLP BibTeX RDF |
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| 1 | Shengbo Wang, Nian Si, José H. Blanchet, Zhengyuan Zhou |
A Finite Sample Complexity Bound for Distributionally Robust Q-learning. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Yusha Liu, Aarti Singh |
Adaptation to Misspecified Kernel Regularity in Kernelised Bandits. |
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2023 |
DBLP BibTeX RDF |
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| 1 | Zenan Ling, Xingyu Xie, Qiuhao Wang, Zongpeng Zhang, Zhouchen Lin |
Global Convergence of Over-parameterized Deep Equilibrium Models. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Ji Wang, Ding Lu, Ian Davidson, Zhaojun Bai |
Scalable Spectral Clustering with Group Fairness Constraints. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Natasa Tagasovska, Firat Ozdemir, Axel Brando |
Retrospective Uncertainties for Deep Models using Vine Copulas. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Ning Liu, Yue Yu, Huaiqian You, Neeraj Tatikola |
INO: Invariant Neural Operators for Learning Complex Physical Systems with Momentum Conservation. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Spencer Compton, Dmitriy Katz, Benjamin Qi, Kristjan H. Greenewald, Murat Kocaoglu |
Minimum-Entropy Coupling Approximation Guarantees Beyond the Majorization Barrier. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Andrea Pugnana, Salvatore Ruggieri |
AUC-based Selective Classification. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Quan Xiao, Han Shen, Wotao Yin, Tianyi Chen |
Alternating Projected SGD for Equality-constrained Bilevel Optimization. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Luca Masserano, Tommaso Dorigo, Rafael Izbicki, Mikael Kuusela, Ann B. Lee |
Simulator-Based Inference with WALDO: Confidence Regions by Leveraging Prediction Algorithms and Posterior Estimators for Inverse Problems. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Tom Huix, Matthew Zhang, Alain Durmus |
Tight Regret and Complexity Bounds for Thompson Sampling via Langevin Monte Carlo. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Kei Ishikawa, Niao He |
Kernel Conditional Moment Constraints for Confounding Robust Inference. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Hannah Sansford, Alexander Modell, Nick Whiteley, Patrick Rubin-Delanchy |
Implications of sparsity and high triangle density for graph representation learning. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Rob Romijnders, Yuki M. Asano, Christos Louizos, Max Welling |
No time to waste: practical statistical contact tracing with few low-bit messages. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Roy Dong, Heling Zhang, Lillian J. Ratliff |
Approximate Regions of Attraction in Learning with Decision-Dependent Distributions. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Kihyuk Hong, Yuhang Li, Ambuj Tewari |
An Optimization-based Algorithm for Non-stationary Kernel Bandits without Prior Knowledge. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Raef Bassily, Mehryar Mohri, Ananda Theertha Suresh |
Principled Approaches for Private Adaptation from a Public Source. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Giannis Nikolentzos, Michalis Vazirgiannis |
Graph Alignment Kernels using Weisfeiler and Leman Hierarchies. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Kevin Elgui, Alex Nowak, Geneviève Robin |
A Statistical Learning Take on the Concordance Index for Survival Analysis. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Lianke Qin, Zhao Song 0002, Lichen Zhang 0003, Danyang Zhuo |
An Online and Unified Algorithm for Projection Matrix Vector Multiplication with Application to Empirical Risk Minimization. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Haotian Ju, Dongyue Li, Aneesh Sharma, Hongyang R. Zhang |
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Aarshvi Gajjar, Christopher Musco, Chinmay Hegde |
Active Learning for Single Neuron Models with Lipschitz Non-Linearities. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Shaokui Wei, Jiayin Liu, Bing Li, Hongyuan Zha |
Mean Parity Fair Regression in RKHS. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Aman Shrivastava, Ramprasaath R. Selvaraju, Nikhil Naik, Vicente Ordonez |
CLIP-Lite: Information Efficient Visual Representation Learning with Language Supervision. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Ruichen Jiang, Nazanin Abolfazli, Aryan Mokhtari, Erfan Yazdandoost Hamedani |
A Conditional Gradient-based Method for Simple Bilevel Optimization with Convex Lower-level Problem. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Adrian N. Bishop, Edwin V. Bonilla |
Recurrent Neural Networks and Universal Approximation of Bayesian Filters. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Meyer Scetbon, Elvis Dohmatob |
Robust Linear Regression: Gradient-descent, Early-stopping, and Beyond. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Kush Bhatia, Wenshuo Guo, Jacob Steinhardt |
Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Nelvin Tan, Ramji Venkataramanan |
Mixed Linear Regression via Approximate Message Passing. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Ke Bai 0001, Pengyu Cheng, Weituo Hao, Ricardo Henao, Larry Carin |
Estimating Total Correlation with Mutual Information Estimators. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Joseph Janssen, Vincent Guan, Elina Robeva |
Ultra-marginal Feature Importance: Learning from Data with Causal Guarantees. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Rick Presman, Jason Xu |
Distance-to-Set Priors and Constrained Bayesian Inference. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Zaiyan Xu, Kishan Panaganti, Dileep Kalathil |
Improved Sample Complexity Bounds for Distributionally Robust Reinforcement Learning. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Shuo Yang, Yijun Dong, Rachel A. Ward, Inderjit S. Dhillon, Sujay Sanghavi, Qi Lei |
Sample Efficiency of Data Augmentation Consistency Regularization. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Chengliang Tang, Nathan Lenssen, Ying Wei, Tian Zheng |
Wasserstein Distributional Learning via Majorization-Minimization. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Qian Yu, Yining Wang, Baihe Huang, Qi Lei, Jason D. Lee |
Optimal Sample Complexity Bounds for Non-convex Optimization under Kurdyka-Lojasiewicz Condition. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Raul Astudillo, Zhiyuan (Jerry) Lin, Eytan Bakshy, Peter I. Frazier |
qEUBO: A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Sebastian Shenghong Tay, Quoc Phong Nguyen, Chuan Sheng Foo, Bryan Kian Hsiang Low |
No-regret Sample-efficient Bayesian Optimization for Finding Nash Equilibria with Unknown Utilities. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Muralikrishnna G. Sethuraman, Romain Lopez, Rahul Mohan, Faramarz Fekri, Tommaso Biancalani, Jan-Christian Hütter |
NODAGS-Flow: Nonlinear Cyclic Causal Structure Learning. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Yigit Efe Erginbas, Soham Phade, Kannan Ramchandran |
Interactive Learning with Pricing for Optimal and Stable Allocations in Markets. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Truc D. T. Nguyen, Phung Lai, Khang Tran, NhatHai Phan, My T. Thai |
Active Membership Inference Attack under Local Differential Privacy in Federated Learning. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Andrew Lowy, Ali Ghafelebashi, Meisam Razaviyayn |
Private Non-Convex Federated Learning Without a Trusted Server. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Haoran Sun, Hanjun Dai, Bo Dai 0001, Haomin Zhou 0001, Dale Schuurmans |
Discrete Langevin Samplers via Wasserstein Gradient Flow. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Simon Damm, Dennis Forster, Dmytro Velychko, Zhenwen Dai, Asja Fischer, Jörg Lücke |
The ELBO of Variational Autoencoders Converges to a Sum of Entropies. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Ruitu Xu, Yifei Min, Tianhao Wang 0002, Michael I. Jordan, Zhaoran Wang 0001, Zhuoran Yang |
Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models via Reinforcement Learning. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Yutong Dai 0002, Guanyi Wang, Frank E. Curtis, Daniel P. Robinson |
A Variance-Reduced and Stabilized Proximal Stochastic Gradient Method with Support Identification Guarantees for Structured Optimization. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Xiangming Meng, Tomoyuki Obuchi, Yoshiyuki Kabashima |
On Model Selection Consistency of Lasso for High-Dimensional Ising Models. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Alexander Norcliffe, Bogdan Cebere, Fergus Imrie, Pietro Liò, Mihaela van der Schaar |
SurvivalGAN: Generating Time-to-Event Data for Survival Analysis. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Ziye Ma, Somayeh Sojoudi |
Noisy Low-rank Matrix Optimization: Geometry of Local Minima and Convergence Rate. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Jerry Chee, Hwanwoo Kim, Panos Toulis |
"Plus/minus the learning rate": Easy and Scalable Statistical Inference with SGD. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Cheuk Ting Li, Farzan Farnia |
Mode-Seeking Divergences: Theory and Applications to GANs. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Lionel Riou-Durand, Pavel Sountsov, Jure Vogrinc, Charles Margossian, Sam Power |
Adaptive Tuning for Metropolis Adjusted Langevin Trajectories. |
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2023 |
DBLP BibTeX RDF |
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| 1 | Sayak Chatterjee, Dibyendu Saha, Soham Dan, Bhaswar B. Bhattacharya |
Two-Sample Tests for Inhomogeneous Random Graphs in Lr Norm: Optimality and Asymptotics. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Andrew Bennett, Dipendra Misra, Nathan Kallus |
Provable Safe Reinforcement Learning with Binary Feedback. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Martin Pawelczyk, Himabindu Lakkaraju, Seth Neel |
On the Privacy Risks of Algorithmic Recourse. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Freddie Bickford Smith, Andreas Kirsch 0002, Sebastian Farquhar, Yarin Gal, Adam Foster 0001, Tom Rainforth |
Prediction-Oriented Bayesian Active Learning. |
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2023 |
DBLP BibTeX RDF |
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| 1 | Ibrahim Alabdulmohsin, Nicole Chiou, Alexander D'Amour, Arthur Gretton, Sanmi Koyejo, Matt J. Kusner, Stephen R. Pfohl, Olawale Salaudeen, Jessica Schrouff, Katherine Tsai |
Adapting to Latent Subgroup Shifts via Concepts and Proxies. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Milan Kuzmanovic, Tobias Hatt, Stefan Feuerriegel |
Estimating Conditional Average Treatment Effects with Missing Treatment Information. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Paramita Koley, Harshavardhan Alimi, Shrey Singla, Sourangshu Bhattacharya, Niloy Ganguly, Abir De |
Differentiable Change-point Detection With Temporal Point Processes. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Naoya Takeishi, Alexandros Kalousis |
Deep Grey-Box Modeling With Adaptive Data-Driven Models Toward Trustworthy Estimation of Theory-Driven Models. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Riashat Islam, Hongyu Zang, Manan Tomar, Aniket Didolkar, Md Mofijul Islam, Samin Yeasar Arnob, Tariq Iqbal, Xin Li 0033, Anirudh Goyal, Nicolas Heess, Alex Lamb |
Representation Learning in Deep RL via Discrete Information Bottleneck. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Martin Jankowiak |
Bayesian Variable Selection in a Million Dimensions. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Benjamin Howson, Ciara Pike-Burke, Sarah Filippi |
Delayed Feedback in Generalised Linear Bandits Revisited. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Yinglong Guo, Dongmian Zou, Gilad Lerman |
An Unpooling Layer for Graph Generation. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Ehsan Amid, Richard Nock, Manfred K. Warmuth |
Clustering above Exponential Families with Tempered Exponential Measures. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Petrus Mikkola, Julien Martinelli, Louis Filstroff, Samuel Kaski |
Multi-Fidelity Bayesian Optimization with Unreliable Information Sources. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Zeshan M. Hussain, Ming-Chieh Shih, Michael Oberst, Ilker Demirel, David A. Sontag |
Falsification of Internal and External Validity in Observational Studies via Conditional Moment Restrictions. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Lukang Sun, Avetik G. Karagulyan, Peter Richtárik |
Convergence of Stein Variational Gradient Descent under a Weaker Smoothness Condition. |
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2023 |
DBLP BibTeX RDF |
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