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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 | Haiyun He, Gholamali Aminian, Yuheng Bu, Miguel R. D. Rodrigues, Vincent Y. F. Tan |
How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm?  |
AISTATS  |
2023 |
DBLP BibTeX RDF |
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| 1 | Honghao Wei, Arnob Ghosh, Ness B. Shroff, Lei Ying 0001, Xingyu Zhou 0001 |
Provably Efficient Model-Free Algorithms for Non-stationary CMDPs. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Pascal Mattia Esser, Satyaki Mukherjee, Mahalakshmi Sabanayagam, Debarghya Ghoshdastidar |
Improved Representation Learning Through Tensorized Autoencoders. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Alankrita Bhatt, J. Jon Ryu, Young-Han Kim 0001 |
On Universal Portfolios with Continuous Side Information. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Yueyang Liu, Benjamin Van Roy, Kuang Xu |
Nonstationary Bandit Learning via Predictive Sampling. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck |
Semantic Strengthening of Neuro-Symbolic Learning. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Zhun Deng, He Sun, Steven Wu 0001, Linjun Zhang, David C. Parkes |
Reinforcement Learning with Stepwise Fairness Constraints. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Tyler Sypherd, Nathaniel Stromberg, Richard Nock, Visar Berisha, Lalitha Sankar |
Smoothly Giving up: Robustness for Simple Models. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Frederiek Wesel, Kim Batselier |
Tensor-based Kernel Machines with Structured Inducing Points for Large and High-Dimensional Data. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Changwoo Lee 0001, Xiao Hu, Hun-Seok Kim |
Deep Joint Source-Channel Coding with Iterative Source Error Correction. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Evan Becker, Jingdong Gao, Ted Zadouri, Baharan Mirzasoleiman |
High Probability Bounds for Stochastic Continuous Submodular Maximization. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Michael Poli, Stefano Massaroli, Stefano Ermon, Bryan Wilder, Eric Horvitz |
Ideal Abstractions for Decision-Focused Learning. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Marvin Schmitt, Stefan T. Radev, Paul-Christian Bürkner |
Meta-Uncertainty in Bayesian Model Comparison. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Michelle Chen, Olga Ohrimenko |
Protecting Global Properties of Datasets with Distribution Privacy Mechanisms. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Louis Leconte, Sholom Schechtman, Eric Moulines |
ASkewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Niklas Stoehr, Benjamin J. Radford, Ryan Cotterell, Aaron Schein |
The Ordered Matrix Dirichlet for State-Space Models. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Xiaoyan Hu, Ho-fung Leung |
A Tighter Problem-Dependent Regret Bound for Risk-Sensitive Reinforcement Learning. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Hoang Phan, Trung Le, Trung Phung, Anh Tuan Bui, Nhat Ho, Dinh Q. Phung |
Global-Local Regularization Via Distributional Robustness. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Xiang Li 0050, Wenhao Yang, Jiadong Liang, Zhihua Zhang, Michael I. Jordan |
A Statistical Analysis of Polyak-Ruppert Averaged Q-Learning. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Michal Sharoni, Sivan Sabato |
On the Capacity Limits of Privileged ERM. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Garud Iyengar, Henry Lam, Tianyu Wang |
Hedging against Complexity: Distributionally Robust Optimization with Parametric Approximation. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Aleksandr Beznosikov, Eduard Gorbunov, Hugo Berard, Nicolas Loizou |
Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Sara Ahmadian, Maryam Negahbani |
Improved Approximation for Fair Correlation Clustering. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Yixuan Zhang 0006, Feng Zhou, Zhidong Li, Yang Wang, Fang Chen 0001 |
Fair Representation Learning with Unreliable Labels. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Debangshu Banerjee, Avishek Ghosh, Sayak Ray Chowdhury, Aditya Gopalan |
Exploration in Linear Bandits with Rich Action Sets and its Implications for Inference. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Hongwei Shang, Jean-Marc Langlois, Kostas Tsioutsiouliklis, Changsung Kang |
Precision/Recall on Imbalanced Test Data. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Mingshan Sun, Ye Zheng, Tianpeng Bao, Jianqiu Chen, Guoqiang Jin, Liwei Wu, Rui Zhao 0018, Xiaoke Jiang |
Uni6Dv2: Noise Elimination for 6D Pose Estimation. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Dan Qiao 0002, Yu-Xiang Wang 0003 |
Near-Optimal Differentially Private Reinforcement Learning. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Shelvia Wongso, Rohan Ghosh, Mehul Motani |
Using Sliced Mutual Information to Study Memorization and Generalization in Deep Neural Networks. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jane H. Lee, Saeid Haghighatshoar, Amin Karbasi |
Exact Gradient Computation for Spiking Neural Networks via Forward Propagation. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Charline Le Lan, Joshua Greaves, Jesse Farebrother, Mark Rowland, Fabian Pedregosa, Rishabh Agarwal, Marc G. Bellemare |
A Novel Stochastic Gradient Descent Algorithm for Learning Principal Subspaces. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Shuoguang Yang, Yuhao Yan, Xiuneng Zhu, Qiang Sun |
Online Linearized LASSO. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Hiromi Narimatsu, Mayuko Ozawa, Shiro Kumano |
Collision Probability Matching Loss for Disentangling Epistemic Uncertainty from Aleatoric Uncertainty. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Victor Boone, Bruno Gaujal |
Identification of Blackwell Optimal Policies for Deterministic MDPs. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Yuqing Hu 0001, Stéphane Pateux, Vincent Gripon |
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Joachim Spoerhase, Kamyar Khodamoradi, Benedikt Riegel, Bruno Ordozgoiti, Aristides Gionis |
A Constant-Factor Approximation Algorithm for Reconciliation k-Median. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yiyan Huang, Cheuk Hang Leung, Shumin Ma, Zhiri Yuan, Qi Wu 0009, Siyi Wang, Dongdong Wang, Zhixiang Huang |
Towards Balanced Representation Learning for Credit Policy Evaluation. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Natalie Maus, Kaiwen Wu, David Eriksson, Jacob R. Gardner |
Discovering Many Diverse Solutions with Bayesian Optimization. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ellango Jothimurugesan, Kevin Hsieh, Jianyu Wang, Gauri Joshi, Phillip B. Gibbons |
Federated Learning under Distributed Concept Drift. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Joshua C. Chang, Carson C. Chow, Julia Porcino |
Autoencoded sparse Bayesian in-IRT factorization, calibration, and amortized inference for the Work Disability Functional Assessment Battery. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Mohsen Heidari, Wojciech Szpankowski |
Agnostic PAC Learning of k-juntas Using L2-Polynomial Regression. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Dongping Qi, David Bindel, Alexander Vladimirsky |
Surveillance Evasion Through Bayesian Reinforcement Learning. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Hussein Hazimeh 0001, Natalia Ponomareva 0001 |
Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Francisco J. R. Ruiz, Jennifer G. Dy, Jan-Willem van de Meent (eds.) |
International Conference on Artificial Intelligence and Statistics, 25-27 April 2023, Palau de Congressos, Valencia, Spain. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Viacheslav Borovitskiy, Mohammad Reza Karimi, Vignesh Ram Somnath, Andreas Krause 0001 |
Isotropic Gaussian Processes on Finite Spaces of Graphs. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Lijie Hu, Zihang Xiang, Jiabin Liu, Di Wang 0015 |
Privacy-preserving Sparse Generalized Eigenvalue Problem. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Nicolas Christianson, Junxuan Shen, Adam Wierman |
Optimal robustness-consistency tradeoffs for learning-augmented metrical task systems. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Shibo Li, Zheng Wang, Akil Narayan 0001, Robert M. Kirby, Shandian Zhe |
Meta-Learning with Adjoint Methods. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Rajeev Verma, Daniel Barrejón, Eric T. Nalisnick |
Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Runzhe Wan, Lin Ge, Rui Song 0006 |
Towards Scalable and Robust Structured Bandits: A Meta-Learning Framework. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yue Xiang, Dongyao Zhu, Bowen Lei, Dongkuan Xu, Ruqi Zhang |
Efficient Informed Proposals for Discrete Distributions via Newton's Series Approximation. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Shuqi Liu, Yuzhou Cao, Qiaozhen Zhang, Lei Feng 0006, Bo An 0001 |
Consistent Complementary-Label Learning via Order-Preserving Losses. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Duy Nguyen, Ngoc Bui, Viet Anh Nguyen |
Feasible Recourse Plan via Diverse Interpolation. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Seungjae Shin, HeeSun Bae, DongHyeok Shin, Weonyoung Joo, Il-Chul Moon |
Loss-Curvature Matching for Dataset Selection and Condensation. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Chengkuan Hong, Christian R. Shelton |
Variational Inference for Neyman-Scott Processes. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Adam N. Elmachtoub, Vishal Gupta 0004, Yunfan Zhao |
Balanced Off-Policy Evaluation for Personalized Pricing. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Chen Dun, Mirian Hipolito Garcia, Chris Jermaine, Dimitrios Dimitriadis, Anastasios Kyrillidis |
Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Sebastian Gruber 0001, Florian Buettner 0001 |
Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Rachel Redberg, Yuqing Zhu 0005, Yu-Xiang Wang 0003 |
Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yuxuan Han, Jialin Zeng, Yang Wang, Yang Xiang, Jiheng Zhang |
Optimal Contextual Bandits with Knapsacks under Realizability via Regression Oracles. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | David S. Watson, Kristin Blesch, Jan Kapar, Marvin N. Wright |
Adversarial Random Forests for Density Estimation and Generative Modeling. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jonas Wacker, Ruben Ohana, Maurizio Filippone |
Complex-to-Real Sketches for Tensor Products with Applications to the Polynomial Kernel. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Ansuman Banerjee, Shayak Chakraborty, Sourav Chakraborty 0001, Kuldeep S. Meel, Uddalok Sarkar, Sayantan Sen |
Testing of Horn Samplers. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Ankur Ankan, Inge M. N. Wortel, Kenneth Bollen, Johannes Textor |
Combining Graphical and Algebraic Approaches for Parameter Identification in Latent Variable Structural Equation Models. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Juan Kuntz, Jen Ning Lim, Adam M. Johansen |
Particle algorithms for maximum likelihood training of latent variable models. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Tyler Maunu, Thibaut Le Gouic, Philippe Rigollet |
Bures-Wasserstein Barycenters and Low-Rank Matrix Recovery. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Jasper Tan, Daniel LeJeune, Blake Mason, Hamid Javadi, Richard G. Baraniuk |
A Blessing of Dimensionality in Membership Inference through Regularization. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Matthew J. Holland |
Flexible risk design using bi-directional dispersion. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Xiaolu Wang, Yuchen Jiao, Hoi-To Wai, Yuantao Gu |
Incremental Aggregated Riemannian Gradient Method for Distributed PCA. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Feihu Huang, Xidong Wu, Zhengmian Hu |
AdaGDA: Faster Adaptive Gradient Descent Ascent Methods for Minimax Optimization. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Haotian Ye, James Zou 0001, Linjun Zhang |
Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Zheyang Xiong, Fangshuo Liao, Anastasios Kyrillidis |
Strong Lottery Ticket Hypothesis with ε-perturbation. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Ga Ming Angus Chan, Tianxi Li |
Fitting low-rank models on egocentrically sampled partial networks. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Vivien Cabannes, Stefano Vigogna |
A Case of Exponential Convergence Rates for SVM. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Giovanni Luca Marchetti, Gustaf Tegnér, Anastasiia Varava, Danica Kragic |
Equivariant Representation Learning via Class-Pose Decomposition. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Nicola Branchini, Virginia Aglietti, Neil Dhir, Theodoros Damoulas |
Causal Entropy Optimization. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Xuantong Liu, Jianfeng Zhang, Tianyang Hu, He Cao, Yuan Yao 0011, Lujia Pan |
Inducing Neural Collapse in Deep Long-tailed Learning. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Caleb Dahlke, Sue Zheng, Jason Pacheco |
Fast Variational Estimation of Mutual Information for Implicit and Explicit Likelihood Models. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Gavin Kerrigan, Justin Ley, Padhraic Smyth |
Diffusion Generative Models in Infinite Dimensions. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Yaxuan Zhu, Jianwen Xie, Ping Li 0001 |
Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Çagin Ararat, Cem Tekin |
Vector Optimization with Stochastic Bandit Feedback. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Samuel Allen Alexander, David Quarel, Len Du, Marcus Hutter |
Universal Agent Mixtures and the Geometry of Intelligence. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Lawrence Stewart, Francis R. Bach, Quentin Berthet, Jean-Philippe Vert |
Regression as Classification: Influence of Task Formulation on Neural Network Features. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Maria-Florina Balcan, Rattana Pukdee, Pradeep Ravikumar, Hongyang Zhang 0001 |
Nash Equilibria and Pitfalls of Adversarial Training in Adversarial Robustness Games. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Volodymyr Tkachuk, Seyed Alireza Bakhtiari, Johannes Kirschner, Matej Jusup, Ilija Bogunovic, Csaba Szepesvári |
Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Lukas Zierahn, Dirk van der Hoeven, Nicolò Cesa-Bianchi, Gergely Neu |
Nonstochastic Contextual Combinatorial Bandits. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Qin-Cheng Zheng, Shen-Huan Lyu, Shao-Qun Zhang, Yuan Jiang 0001, Zhi-Hua Zhou |
On the Consistency Rate of Decision Tree Learning Algorithms. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Théo Lacombe |
An Homogeneous Unbalanced Regularized Optimal Transport Model with Applications to Optimal Transport with Boundary. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Hang Zhang, Ping Li 0001 |
Improved Bound on Generalization Error of Compressed KNN Estimator. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Sasila Ilandarideva, Yannis Bekri, Anatoli Iouditski, Vianney Perchet |
Stochastic Mirror Descent for Large-Scale Sparse Recovery. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Xinwei Sun 0001, Xiangyu Zheng, Jim Weinstein |
A New Causal Decomposition Paradigm towards Health Equity. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Eren Mehmet Kiral, Thomas Möllenhoff, Mohammad Emtiyaz Khan |
The Lie-Group Bayesian Learning Rule. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Ahmed M. Alaa, Zeshan M. Hussain, David A. Sontag |
Conformalized Unconditional Quantile Regression. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Ziang Chen, Jianfeng Lu 0001, Huajie Qian, Xinshang Wang, Wotao Yin |
HeteRSGD: Tackling Heterogeneous Sampling Costs via Optimal Reweighted Stochastic Gradient Descent. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Jia Lin Hau, Marek Petrik, Mohammad Ghavamzadeh |
Entropic Risk Optimization in Discounted MDPs. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Rong Tang, Yun Yang |
Minimax Nonparametric Two-Sample Test under Adversarial Losses. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Alexander Hägele, Jonas Rothfuss, Lars Lorch, Vignesh Ram Somnath, Bernhard Schölkopf, Andreas Krause 0001 |
BaCaDI: Bayesian Causal Discovery with Unknown Interventions. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Stefan Hegselmann, Alejandro Buendia, Hunter Lang, Monica Agrawal, Xiaoyi Jiang 0001, David A. Sontag |
TabLLM: Few-shot Classification of Tabular Data with Large Language Models. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Joel Oskarsson, Per Sidén, Fredrik Lindsten |
Temporal Graph Neural Networks for Irregular Data. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Shay Deutsch, Stefano Soatto |
Graph Spectral Embedding using the Geodesic Betweenness Centrality. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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