| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Dmitry M. Malioutov, Sanjeeb Dash, Dennis Wei |
Heavy Sets with Applications to Interpretable Machine Learning Diagnostics.  |
AISTATS  |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ryumei Nakada, Halil Ibrahim Gulluk, Zhun Deng, Wenlong Ji, James Zou 0001, Linjun Zhang |
Understanding Multimodal Contrastive Learning and Incorporating Unpaired Data. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Devansh Jalota, Karthik Gopalakrishnan 0002, Navid Azizan, Ramesh Johari, Marco Pavone 0001 |
Online Learning for Traffic Routing under Unknown Preferences. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Matthias Bitzer, Mona Meister, Christoph Zimmer |
Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Shinsaku Sakaue, Taihei Oki |
Improved Generalization Bound and Learning of Sparsity Patterns for Data-Driven Low-Rank Approximation. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Achal Awasthi, Jason Xu |
Fast Computation of Branching Process Transition Probabilities via ADMM. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Tom Norman, Nir Weinberger, Kfir Y. Levy |
Robust Linear Regression for General Feature Distribution. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Shiwei Zeng, Jie Shen 0005 |
Semi-Verified PAC Learning from the Crowd. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Hailiang Dong, James Amato, Vibhav Gogate, Nicholas Ruozzi |
A New Modeling Framework for Continuous, Sequential Domains. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Vincent Liu, Yash Chandak, Philip S. Thomas, Martha White |
Asymptotically Unbiased Off-Policy Policy Evaluation when Reusing Old Data in Nonstationary Environments. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Nikil Roashan Selvam, Honghua Zhang, Guy Van den Broeck |
Mixtures of All Trees. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jeremy Sellier, Petros Dellaportas |
Sparse Spectral Bayesian Permanental Process with Generalized Kernel. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Rayyan Ahmad Khan, Martin Kleinsteuber |
Barlow Graph Auto-Encoder for Unsupervised Network Embedding. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Alexander K. Lew, George Matheos, Tan Zhi-Xuan, Matin Ghavamizadeh, Nishad Gothoskar, Stuart Russell 0001, Vikash K. Mansinghka |
SMCP3: Sequential Monte Carlo with Probabilistic Program Proposals. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ziqing Xu, Hancheng Min, Salma Tarmoun, Enrique Mallada, René Vidal |
Linear Convergence of Gradient Descent For Finite Width Over-parametrized Linear Networks With General Initialization. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | James Thornton, Marco Cuturi |
Rethinking Initialization of the Sinkhorn Algorithm. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Samuel Stanton, Wesley J. Maddox, Andrew Gordon Wilson |
Bayesian Optimization with Conformal Prediction Sets. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Mohammad Sadegh Akhondzadeh, Vijay Lingam, Aleksandar Bojchevski |
Probing Graph Representations. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Carlos E. Luis, Alessandro G. Bottero, Julia Vinogradska, Felix Berkenkamp, Jan Peters 0001 |
Model-Based Uncertainty in Value Functions. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Koji Tabata, Junpei Komiyama, Atsuyoshi Nakamura, Tamiki Komatsuzaki |
Posterior Tracking Algorithm for Classification Bandits. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Dragana Bajovic, Dusan Jakovetic, Soummya Kar |
Large deviations rates for stochastic gradient descent with strongly convex functions. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Hedda Cohen Indelman, Tamir Hazan |
Learning Constrained Structured Spaces with Application to Multi-Graph Matching. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Quanhan Xi, Benjamin Bloem-Reddy |
Indeterminacy in Generative Models: Characterization and Strong Identifiability. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zhiqiang Xu |
On the Accelerated Noise-Tolerant Power Method. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Solenne Gaucher, Nicolas Schreuder, Evgenii Chzhen |
Fair learning with Wasserstein barycenters for non-decomposable performance measures. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yuhang He, Andrew Markham |
SoundSynp: Sound Source Detection from Raw Waveforms with Multi-Scale Synperiodic Filterbanks. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Othmane Marfoq, Giovanni Neglia, Laetitia Kameni, Richard Vidal |
Federated Learning for Data Streams. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Kyriakos Lotidis, Nicholas Bambos, Jose H. Blanchet, Jiajin Li |
Wasserstein Distributionally Robust Linear-Quadratic Estimation under Martingale Constraints. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ekaterina Khramtsova, Guido Zuccon, Xi Wang, Mahsa Baktashmotlagh |
Convolutional Persistence as a Remedy to Neural Model Analysis. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Fares Fourati, Vaneet Aggarwal, Christopher J. Quinn, Mohamed-Slim Alouini |
Randomized Greedy Learning for Non-monotone Stochastic Submodular Maximization Under Full-bandit Feedback. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Francesco Quinzan, Rajiv Khanna, Moshik Hershcovitch, Sarel Cohen, Daniel G. Waddington, Tobias Friedrich 0001, Michael W. Mahoney |
Fast Feature Selection with Fairness Constraints. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Wonyoung Kim, Myunghee Cho Paik, Min Hwan Oh |
Squeeze All: Novel Estimator and Self-Normalized Bound for Linear Contextual Bandits. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Mengdi Xu, Peide Huang, Yaru Niu, Visak Kumar, Jielin Qiu, Chao Fang, Kuan-Hui Lee, Xuewei Qi, Henry Lam, Bo Li 0026, Ding Zhao |
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ryuichiro Hataya, Makoto Yamada |
Nyström Method for Accurate and Scalable Implicit Differentiation. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Thomas Kleine Buening, Christos Dimitrakakis, Hannes Eriksson, Divya Grover, Emilio Jorge |
Minimax-Bayes Reinforcement Learning. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Alberto Maria Metelli, Mirco Mutti, Marcello Restelli |
A Tale of Sampling and Estimation in Discounted Reinforcement Learning. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Pedro Cisneros-Velarde, Boxiang Lyu, Sanmi Koyejo, Mladen Kolar |
One Policy is Enough: Parallel Exploration with a Single Policy is Near-Optimal for Reward-Free Reinforcement Learning. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zhenbang Wang, Emanuel Ben-David, Martin Slawski |
Regularization for Shuffled Data Problems via Exponential Family Priors on the Permutation Group. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Matthew D. Hoffman, Tuan Anh Le, Pavel Sountsov, Christopher Suter, Ben Lee, Vikash K. Mansinghka, Rif A. Saurous |
ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D Images. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jie Shen |
PAC Learning of Halfspaces with Malicious Noise in Nearly Linear Time. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Itay Evron, Ophir Onn, Tamar Weiss Orzech, Hai Azeroual, Daniel Soudry |
The Role of Codeword-to-Class Assignments in Error-Correcting Codes: An Empirical Study. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Konstantin Klemmer, Nathan S. Safir, Daniel B. Neill |
Positional Encoder Graph Neural Networks for Geographic Data. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Thomas Kleine Buening, Aadirupa Saha |
ANACONDA: An Improved Dynamic Regret Algorithm for Adaptive Non-Stationary Dueling Bandits. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Charlotte Bunne, Ya-Ping Hsieh, Marco Cuturi, Andreas Krause 0001 |
The Schrödinger Bridge between Gaussian Measures has a Closed Form. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Kenshi Abe, Kaito Ariu, Mitsuki Sakamoto, Kentaro Toyoshima, Atsushi Iwasaki |
Last-Iterate Convergence with Full and Noisy Feedback in Two-Player Zero-Sum Games. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Michal Grudzien, Grigory Malinovsky, Peter Richtárik |
Can 5th Generation Local Training Methods Support Client Sampling? Yes! |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yehu Chen, Annamaria Prati, Jacob M. Montgomery, Roman Garnett |
A Multi-Task Gaussian Process Model for Inferring Time-Varying Treatment Effects in Panel Data. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Xinyue Xia, Gal Mishne, Yusu Wang 0001 |
Implicit Graphon Neural Representation. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Nikita Puchkin, Valeriia Shcherbakova |
A Contrastive Approach to Online Change Point Detection. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Samuel Stocksieker, Denys Pommeret, Arthur Charpentier |
Data Augmentation for Imbalanced Regression. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Quan Nguyen, Roman Garnett |
Nonmyopic Multiclass Active Search with Diminishing Returns for Diverse Discovery. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Aristeidis Panos, Ioannis Kosmidis, Petros Dellaportas |
Scalable marked point processes for exchangeable and non-exchangeable event sequences. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Xingyu Lu, Hasin Us Sami, Basak Güler |
Dropout-Resilient Secure Multi-Party Collaborative Learning with Linear Communication Complexity. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Hiroshi Morioka, Aapo Hyvärinen |
Connectivity-contrastive learning: Combining causal discovery and representation learning for multimodal data. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Munir Hiabu, Joseph T. Meyer, Marvin N. Wright |
Unifying local and global model explanations by functional decomposition of low dimensional structures. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Shashank Singh 0011 |
Nonparametric Indirect Active Learning. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Lukasz Struski, Marcin Mazur, Pawel Batorski, Przemyslaw Spurek, Jacek Tabor |
Bounding Evidence and Estimating Log-Likelihood in VAE. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Xiangqian Sun, Cheuk Hang Leung, Yijun Li, Qi Wu |
A Unified Perspective on Regularization and Perturbation in Differentiable Subset Selection. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Saeyoung Rho, Rachel Cummings, Vishal Misra |
Differentially Private Synthetic Control. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Nikolaos Nakis, Abdulkadir Çelikkanat, Louis Boucherie, Christian Djurhuus, Felix Burmester, Daniel Mathias Holmelund, Monika Frolcová, Morten Mørup |
Characterizing Polarization in Social Networks using the Signed Relational Latent Distance Model. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yunzhe Zhou, Zhengling Qi, Chengchun Shi, Lexin Li |
Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning Approach. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ilya Shpitser |
The Lauritzen-Chen Likelihood For Graphical Models. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Duc Nguyen, Anderson Ye Zhang |
Optimal and Private Learning from Human Response Data. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zixian Yang, R. Srikant 0001, Lei Ying 0001 |
Learning While Scheduling in Multi-Server Systems With Unknown Statistics: MaxWeight with Discounted UCB. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Sina Baharlouei, Fatemeh Sheikholeslami, Meisam Razaviyayn, Zico Kolter |
Improving Adversarial Robustness via Joint Classification and Multiple Explicit Detection Classes. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri |
Learning in RKHM: a C*-Algebraic Twist for Kernel Machines. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Helen Zhou, Sivaraman Balakrishnan, Zachary C. Lipton |
Domain Adaptation under Missingness Shift. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Carles Domingo-Enrich, Raaz Dwivedi, Lester Mackey |
Compress Then Test: Powerful Kernel Testing in Near-linear Time. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yuchao Qin, Mihaela van der Schaar, Changhee Lee |
T-Phenotype: Discovering Phenotypes of Predictive Temporal Patterns in Disease Progression. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Aditya Bhaskara, Kamesh Munagala |
Competing against Adaptive Strategies in Online Learning via Hints. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Hussein Mozannar, Hunter Lang, Dennis Wei, Prasanna Sattigeri, Subhro Das, David A. Sontag |
Who Should Predict? Exact Algorithms For Learning to Defer to Humans. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Xun Zhu, Yutong Xiong, Ming Wu, Gaozhen Nie, Bin Zhang, Ziheng Yang |
Weather2K: A Multivariate Spatio-Temporal Benchmark Dataset for Meteorological Forecasting Based on Real-Time Observation Data from Ground Weather Stations. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Gandharv Patil, Prashanth L. A., Dheeraj Nagaraj, Doina Precup |
Finite time analysis of temporal difference learning with linear function approximation: Tail averaging and regularisation. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Rui Wang 0088, Pengyu Cheng, Ricardo Henao |
Toward Fairness in Text Generation via Mutual Information Minimization based on Importance Sampling. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Elias Samuel Wirth, Thomas Kerdreux, Sebastian Pokutta |
Acceleration of Frank-Wolfe Algorithms with Open-Loop Step-Sizes. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yirui Liu, Xinghao Qiao, Liying Wang, Jessica Lam |
EEGNN: Edge Enhanced Graph Neural Network with a Bayesian Nonparametric Graph Model. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ang Li 0009, Judea Pearl |
Probabilities of Causation: Role of Observational Data. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Hiroki Naganuma, Hideaki Iiduka |
Conjugate Gradient Method for Generative Adversarial Networks. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Pranjal Awasthi, Anqi Mao, Mehryar Mohri, Yutao Zhong 0002 |
Theoretically Grounded Loss Functions and Algorithms for Adversarial Robustness. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zihan Wang, Jason Lee, Qi Lei |
Reconstructing Training Data from Model Gradient, Provably. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Tung Mai, Alexander Munteanu, Cameron Musco, Anup Rao 0002, Chris Schwiegelshohn, David P. Woodruff |
Optimal Sketching Bounds for Sparse Linear Regression. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Mengxiao Zhang, Shi Chen, Haipeng Luo, Yingfei Wang |
No-Regret Learning in Two-Echelon Supply Chain with Unknown Demand Distribution. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Davin Choo, Kirankumar Shiragur |
Subset verification and search algorithms for causal DAGs. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Mehrnaz Mofakhami, Ioannis Mitliagkas, Gauthier Gidel |
Performative Prediction with Neural Networks. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Dan Garber, Tsur Livney, Shoham Sabach |
Faster Projection-Free Augmented Lagrangian Methods via Weak Proximal Oracle. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Kaiqi Zhao 0002, Animesh Jain, Ming Zhao |
Automatic Attention Pruning: Improving and Automating Model Pruning using Attentions. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Junwen Yao, N. Benjamin Erichson, Miles E. Lopes |
Error Estimation for Random Fourier Features. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Soumyabrata Pal, Arun Sai Suggala, Karthikeyan Shanmugam, Prateek Jain 0002 |
Optimal Algorithms for Latent Bandits with Cluster Structure. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Tomas Geffner, Justin Domke |
Langevin Diffusion Variational Inference. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi, Yasuhiro Fujiwara |
Meta-learning for Robust Anomaly Detection. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Maxim Kodryan, Dmitry Kropotov, Dmitry P. Vetrov |
MARS: Masked Automatic Ranks Selection in Tensor Decompositions. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zhendong Wang, Ruijiang Gao, Mingzhang Yin, Mingyuan Zhou, David M. Blei |
Probabilistic Conformal Prediction Using Conditional Random Samples. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yang Yang, Gennaro Gala, Robert Peharz |
Bayesian Structure Scores for Probabilistic Circuits. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | David Bosch 0002, Ashkan Panahi, Ayça Özçelikkale, Devdatt P. Dubhashi |
Random Features Model with General Convex Regularization: A Fine Grained Analysis with Precise Asymptotic Learning Curves. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Vitalii Bulygin, Dmytro Mykheievskyi, Kyrylo Kuchynskyi |
BlitzMask: Real-Time Instance Segmentation Approach for Mobile Devices. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Benjie Wang, Marta Kwiatkowska |
Compositional Probabilistic and Causal Inference using Tractable Circuit Models. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Achraf Bahamou, Donald Goldfarb, Yi Ren 0007 |
A Mini-Block Fisher Method for Deep Neural Networks. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Boris van Breugel, Hao Sun, Zhaozhi Qian, Mihaela van der Schaar |
Membership Inference Attacks against Synthetic Data through Overfitting Detection. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Xingyu Xu 0001, Yuantao Gu |
Oblivious near-optimal sampling for multidimensional signals with Fourier constraints. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Cyril Bachelard, Apostolos Chalkis, Vissarion Fisikopoulos, Elias P. Tsigaridas |
Randomized geometric tools for anomaly detection in stock markets. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
![[Valid RSS]](Pics/valid-rss.png "Validate my RSS feed")
data released under the ODC-BY 1.0 license