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Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Vincent Zhihao Zheng, Seongjin Choi, Lijun Sun |
Better Batch for Deep Probabilistic Time Series Forecasting.  |
AISTATS  |
2024 |
DBLP BibTeX RDF |
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| 1 | Matteo Vilucchio, Emanuele Troiani, Vittorio Erba, Florent Krzakala |
Asymptotic Characterisation of the Performance of Robust Linear Regression in the Presence of Outliers. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Simon Martin, Francis Bach, Giulio Biroli |
On the Impact of Overparameterization on the Training of a Shallow Neural Network in High Dimensions. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Mathieu Even, Anastasia Koloskova, Laurent Massoulié |
Asynchronous SGD on Graphs: a Unified Framework for Asynchronous Decentralized and Federated Optimization. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Daiqi Gao, Yuanjia Wang, Donglin Zeng |
Fusing Individualized Treatment Rules Using Secondary Outcomes. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Yingru Li, Zhi-Quan Luo |
Prior-dependent analysis of posterior sampling reinforcement learning with function approximation. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Hugo Richard, Etienne Boursier, Vianney Perchet |
Constant or Logarithmic Regret in Asynchronous Multiplayer Bandits with Limited Communication. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Nguyen Hoang Khoi Do, Tanmoy Chowdhury, Chen Ling, Liang Zhao, My T. Thai |
MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Isu Jeong, Seulki Lee |
On-Demand Federated Learning for Arbitrary Target Class Distributions. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Krzysztof Choromanski, Shanda Li, Valerii Likhosherstov, Kumar Avinava Dubey, Shengjie Luo, Di He, Yiming Yang, Tamas Sarlós, Thomas Weingarten, Adrian Weller |
Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Manuel Haussmann, Tran Minh Son Le, Viivi Halla-aho, Samu Kurki, Jussi Leinonen, Miika Koskinen, Samuel Kaski, Harri Lähdesmäki |
Estimating treatment effects from single-arm trials via latent-variable modeling. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Yue Xing 0002, Xiaofeng Lin, Qifan Song, Yi Xu, Belinda Zeng, Guang Cheng 0003 |
Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Waleed Mustafa, Philipp Liznerski, Antoine Ledent, Dennis Wagner, Puyu Wang, Marius Kloft |
Non-vacuous Generalization Bounds for Adversarial Risk in Stochastic Neural Networks. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Mizhaan Prajit Maniyar, Prashanth L. A., Akash Mondal, Shalabh Bhatnagar |
A Cubic-regularized Policy Newton Algorithm for Reinforcement Learning. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Holger S. G. Heidrich, Jannik Irmai, Bjoern Andres |
A 4-Approximation Algorithm for Min Max Correlation Clustering. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Youssef Allouah, Rachid Guerraoui, Lê-Nguyên Hoang, Oscar Villemaud |
Robust Sparse Voting. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Hadrien Hendrikx, Paul Mangold, Aurélien Bellet |
The Relative Gaussian Mechanism and its Application to Private Gradient Descent. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Hidde Fokkema, Damien Garreau, Tim van Erven |
The Risks of Recourse in Binary Classification. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Jung Eun Huh, Patrick Rebeschini |
Generalization Bounds for Label Noise Stochastic Gradient Descent. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Ron Mosenzon, Ali Vakilian |
Scalable Algorithms for Individual Preference Stable Clustering. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Ronghao Ni, Zinan Lin 0001, Shuaiqi Wang, Giulia Fanti |
Mixture-of-Linear-Experts for Long-term Time Series Forecasting. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Sophie Jaffard, Samuel Vaiter, Alexandre Muzy, Patricia Reynaud-Bouret |
Provable local learning rule by expert aggregation for a Hawkes network. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Rafael Savvides, Hoang Phuc Hau Luu, Kai Puolamäki |
Error bounds for any regression model using Gaussian processes with gradient information. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Cyrille Kone, Emilie Kaufmann, Laura Richert |
Bandit Pareto Set Identification: the Fixed Budget Setting. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Jonathan Colaço Carr, Prakash Panangaden, Doina Precup |
Conditions on Preference Relations that Guarantee the Existence of Optimal Policies. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Mahmoud Hegazy, Rémi Leluc, Cheuk Ting Li, Aymeric Dieuleveut |
Compression with Exact Error Distribution for Federated Learning. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Amirhossein Ahmadian, Yifan Ding, Gabriel Eilertsen, Fredrik Lindsten |
Unsupervised Novelty Detection in Pretrained Representation Space with Locally Adapted Likelihood Ratio. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Ethan Blaser, Chuanhao Li, Hongning Wang |
Federated Linear Contextual Bandits with Heterogeneous Clients. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Meixia Lin, Yangjing Zhang |
DNNLasso: Scalable Graph Learning for Matrix-Variate Data. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Shivvrat Arya, Tahrima Rahman, Vibhav Gogate |
Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Models. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Liwei Wang, Xinru Liu, Aaron Smith, Aguemon Y. Atchadé |
On cyclical MCMC sampling. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Sara LaPlante, Emilija Perkovic |
Conditional Adjustment in a Markov Equivalence Class. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Soumyabrata Pal, Prateek Varshney, Gagan Madan, Prateek Jain 0002, Abhradeep Thakurta, Gaurav Aggarwal, Pradeep Shenoy, Gaurav Srivastava 0004 |
Sample-Efficient Personalization: Modeling User Parameters as Low Rank Plus Sparse Components. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Florence Regol, Mark Coates |
Categorical Generative Model Evaluation via Synthetic Distribution Coarsening. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | George Z. Li, Dung Nguyen 0002, Anil Vullikanti |
Computing epidemic metrics with edge differential privacy. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Kyra Gan, Esmaeil Keyvanshokooh, Xueqing Liu, Susan A. Murphy |
Contextual Bandits with Budgeted Information Reveal. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Jialun Zhang, Richard Y. Zhang, Hong-Ming Chiu |
Fast and Accurate Estimation of Low-Rank Matrices from Noisy Measurements via Preconditioned Non-Convex Gradient Descent. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Siyuan Xu, Yucheng Wang, Mingzhou Fan, Byung-Jun Yoon, Xiaoning Qian |
Uncertainty-aware Continuous Implicit Neural Representations for Remote Sensing Object Counting. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Gavin Kerrigan, Giosue Migliorini, Padhraic Smyth |
Functional Flow Matching. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Yutong Wang, Rishi Sonthalia, Wei Hu |
Near-Interpolators: Rapid Norm Growth and the Trade-Off between Interpolation and Generalization. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Philip Jordan, Anas Barakat, Niao He |
Independent Learning in Constrained Markov Potential Games. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Osama A. Hanna, Merve Karakas, Lin Yang 0011, Christina Fragouli |
Multi-Agent Bandit Learning through Heterogeneous Action Erasure Channels. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Arman Adibi, Nicolò Dal Fabbro, Luca Schenato 0001, Sanjeev Kulkarni, H. Vincent Poor, George J. Pappas, Hamed Hassani, Aritra Mitra |
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Wonyoung Kim, Garud Iyengar, Assaf Zeevi |
A Doubly Robust Approach to Sparse Reinforcement Learning. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Saba Ahmadi, Avrim Blum, Omar Montasser, Kevin M. Stangl |
Agnostic Multi-Robust Learning using ERM. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Kei Sen Fong, Mehul Motani |
Multi-Level Symbolic Regression: Function Structure Learning for Multi-Level Data. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Lianke Qin, Zhao Song 0002, Ruizhe Zhang 0001 |
A General Algorithm for Solving Rank-one Matrix Sensing. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Yajing Fan, Wanli Shi, Yi Chang, Bin Gu 0001 |
Fast and Adversarial Robust Kernelized SDU Learning. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Michael Sucker, Peter Ochs |
PAC-Bayesian Learning of Optimization Algorithms. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Gary Cheng 0004, Karan N. Chadha, John C. Duchi |
Federated Asymptotics: a model to compare federated learning algorithms. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yassir Jedra, Junghyun Lee, Alexandre Proutière, Se-Young Yun |
Nearly Optimal Latent State Decoding in Block MDPs. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Lingxiao Wang, Boxin Zhao, Mladen Kolar |
Differentially Private Matrix Completion through Low-rank Matrix Factorization. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Elvis Dohmatob, Chuan Guo, Morgane Goibert |
Origins of Low-Dimensional Adversarial Perturbations. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zeju Qiu, Weiyang Liu, Tim Z. Xiao, Zhen Liu 0019, Umang Bhatt, Yucen Luo, Adrian Weller, Bernhard Schölkopf |
Iterative Teaching by Data Hallucination. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Antonio Orvieto, Anant Raj, Hans Kersting, Francis R. Bach |
Explicit Regularization in Overparametrized Models via Noise Injection. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Prashant Trivedi, Nandyala Hemachandra |
Multi-Agent congestion cost minimization with linear function approximations. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Helmuth J. Naumer, Farzad Kamalabadi |
Dimensionality Collapse: Optimal Measurement Selection for Low-Error Infinite-Horizon Forecasting. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Hideaki Ishibashi, Masayuki Karasuyama, Ichiro Takeuchi, Hideitsu Hino |
A stopping criterion for Bayesian optimization by the gap of expected minimum simple regrets. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Dheeraj Baby, Yu-Xiang Wang 0003 |
Second Order Path Variationals in Non-Stationary Online Learning. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Emilio Dorigatti, Benjamin Schubert, Bernd Bischl, David Rügamer |
Frequentist Uncertainty Quantification in Semi-Structured Neural Networks. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Shiv Shankar, Ritwik Sinha, Saayan Mitra, Moumita Sinha, Madalina Fiterau |
Direct Inference of Effect of Treatment (DIET) for a Cookieless World. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Daniel Goldfarb, Paul Hand |
Analysis of Catastrophic Forgetting for Random Orthogonal Transformation Tasks in the Overparameterized Regime. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yiding Chen, Xuezhou Zhang, Kaiqing Zhang, Mengdi Wang, Xiaojin Zhu 0001 |
Byzantine-Robust Online and Offline Distributed Reinforcement Learning. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Batiste Le Bars, Aurélien Bellet, Marc Tommasi, Erick Lavoie, Anne-Marie Kermarrec |
Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Nathan Kallus, Miruna Oprescu |
Robust and Agnostic Learning of Conditional Distributional Treatment Effects. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang, Vahab Mirrokni |
Pricing against a Budget and ROI Constrained Buyer. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Lev Telyatnikov, Simone Scardapane |
EGG-GAE: scalable graph neural networks for tabular data imputation. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Anass Aghbalou, Anne Sabourin, François Portier |
On the bias of K-fold cross validation with stable learners. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Xun Qian, Hanze Dong, Tong Zhang 0001, Peter Richtárik |
Catalyst Acceleration of Error Compensated Methods Leads to Better Communication Complexity. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Namrata Deka, Danica J. Sutherland |
MMD-B-Fair: Learning Fair Representations with Statistical Testing. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jen Ning Lim, Sebastian J. Vollmer, Lorenz Wolf, Andrew Duncan |
Energy-Based Models for Functional Data using Path Measure Tilting. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Chandramauli Chakraborty, Sayan Paul, Saptarshi Chakraborty, Swagatam Das |
Clustering High-dimensional Data with Ordered Weighted ℓ1 Regularization. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jia-Wei Shan, Peng Zhao 0006, Zhi-Hua Zhou |
Beyond Performative Prediction: Open-environment Learning with Presence of Corruptions. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yulai Zhao 0002, Jianshu Chen, Simon S. Du |
Blessing of Class Diversity in Pre-training. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Dan Meller, Nicolas Berkouk |
Singular Value Representation: A New Graph Perspective On Neural Networks. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Charles K. Assaad, Imad Ez-zejjari, Lei Zan |
Root Cause Identification for Collective Anomalies in Time Series given an Acyclic Summary Causal Graph with Loops. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zhichao Wang, Yizhe Zhu |
Overparameterized Random Feature Regression with Nearly Orthogonal Data. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Vincent Plassier, Eric Moulines, Alain Durmus |
Federated Averaging Langevin Dynamics: Toward a unified theory and new algorithms. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Daniel P. Jeong, Seyoung Kim |
Factorial SDE for Multi-Output Gaussian Process Regression. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Anirban Samaddar, Sandeep Madireddy, Prasanna Balaprakash, Taps Maiti, Gustavo de los Campos, Ian Fischer |
Sparsity-Inducing Categorical Prior Improves Robustness of the Information Bottleneck. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Shalev Shaer, Gal Maman, Yaniv Romano |
Model-X Sequential Testing for Conditional Independence via Testing by Betting. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Tamara A. Pereira, Erik Nascimento, Lucas E. Resck, Diego Mesquita, Amauri H. Souza |
Distill n' Explain: explaining graph neural networks using simple surrogates. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Samuel Holt, Alihan Hüyük, Zhaozhi Qian, Hao Sun, Mihaela van der Schaar |
Neural Laplace Control for Continuous-time Delayed Systems. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Thomas M. McDonald 0001, Magnus Ross, Michael T. Smith 0003, Mauricio A. Álvarez |
Nonparametric Gaussian Process Covariances via Multidimensional Convolutions. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Hossein Taheri, Christos Thrampoulidis |
On Generalization of Decentralized Learning with Separable Data. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Pierre Gaillard, Aadirupa Saha, Soham Dan |
One Arrow, Two Kills: A Unified Framework for Achieving Optimal Regret Guarantees in Sleeping Bandits. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Srshti Putcha, Christopher Nemeth, Paul Fearnhead |
Preferential Subsampling for Stochastic Gradient Langevin Dynamics. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Osman Mian, David Kaltenpoth, Michael Kamp, Jilles Vreeken |
Nothing but Regrets - Privacy-Preserving Federated Causal Discovery. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Yikai Zhang, Jiahe Lin, Fengpei Li, Yeshaya Adler, Kashif Rasul, Anderson Schneider, Yuriy Nevmyvaka |
Risk Bounds on Aleatoric Uncertainty Recovery. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Hadrien Hendrikx |
A principled framework for the design and analysis of token algorithms. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Dennis Wei, Haoze Wu 0001, Min Wu, Pin-Yu Chen, Clark W. Barrett, Eitan Farchi |
Convex Bounds on the Softmax Function with Applications to Robustness Verification. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Hongru Yang, Zhangyang Wang |
On the Neural Tangent Kernel Analysis of Randomly Pruned Neural Networks. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Sulin Liu, Qing Feng, David Eriksson, Benjamin Letham, Eytan Bakshy |
Sparse Bayesian optimization. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Tina Behnia, Ganesh Ramachandra Kini, Vala Vakilian, Christos Thrampoulidis |
On the Implicit Geometry of Cross-Entropy Parameterizations for Label-Imbalanced Data. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Andrea Tirinzoni, Matteo Pirotta, Alessandro Lazaric |
On the Complexity of Representation Learning in Contextual Linear Bandits. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Charles Marx, Youngsuk Park, Hilaf Hasson, Yuyang Wang 0001, Stefano Ermon, Luke Huan |
But Are You Sure? An Uncertainty-Aware Perspective on Explainable AI. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Matthäus Kleindessner, Michele Donini, Chris Russell 0001, Muhammad Bilal Zafar |
Efficient fair PCA for fair representation learning. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Rosanne Turner, Peter Grunwald |
Safe Sequential Testing and Effect Estimation in Stratified Count Data. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Kaiyu Li, Daniel Giles, Toni Karvonen, Serge Guillas, François-Xavier Briol |
Multilevel Bayesian Quadrature. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Zhouhao Yang, Yihong Guo, Pan Xu, Anqi Liu, Animashree Anandkumar |
Distributionally Robust Policy Gradient for Offline Contextual Bandits. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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