| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Alex Boyd, Yuxin Chang, Stephan Mandt, Padhraic Smyth |
Probabilistic Querying of Continuous-Time Event Sequences.  |
AISTATS  |
2023 |
DBLP BibTeX RDF |
|
| 1 | Weilin Cong, Mehrdad Mahdavi |
Efficiently Forgetting What You Have Learned in Graph Representation Learning via Projection. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Asif Khan, Amos J. Storkey |
Adversarial robustness of VAEs through the lens of local geometry. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Erfan Yazdandoost Hamedani, Afrooz Jalilzadeh, Necdet S. Aybat |
Randomized Primal-Dual Methods with Adaptive Step Sizes. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yu-Zhen Janice Chen, Lin Yang, Xuchuang Wang, Xutong Liu 0002, Mohammad H. Hajiesmaili, John C. S. Lui, Don Towsley |
On-Demand Communication for Asynchronous Multi-Agent Bandits. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ludovic Arnould, Claire Boyer, Erwan Scornet |
Is interpolation benign for random forest regression? |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Christoph Luther, Gunnar König, Moritz Grosse-Wentrup |
Efficient SAGE Estimation via Causal Structure Learning. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Amur Ghose, Yingxue Zhang 0001, Jianye Hao, Mark Coates |
Spectral Augmentations for Graph Contrastive Learning. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Song Duong, Alberto Lumbreras, Mike Gartrell, Patrick Gallinari |
Learning from Multiple Sources for Data-to-Text and Text-to-Data. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Wei-Ning Chen, Ayfer Özgür, Graham Cormode, Akash Bharadwaj |
The communication cost of security and privacy in federated frequency estimation. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Laurence Davies, Robert Salomone, Matthew Sutton, Chris Drovandi |
Transport Reversible Jump Proposals. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Ting Cai, Kirthevasan Kandasamy |
Active Cost-aware Labeling of Streaming Data. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Victoria G. Crawford |
Scalable Bicriteria Algorithms for Non-Monotone Submodular Cover. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Jaromír Plhák, Ondrej Sotolár, Michaela Lebedíková, David Smahel |
Classification of Adolescents' Risky Behavior in Instant Messaging Conversations. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Javad Azizi, Ofer Meshi, Masrour Zoghi, Maryam Karimzadehgan |
Overcoming Prior Misspecification in Online Learning to Rank. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Tam Le, Truyen Nguyen, Kenji Fukumizu |
Scalable Unbalanced Sobolev Transport for Measures on a Graph. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Minh-Toan Nguyen, Romain Couillet |
Asymptotic Bayes risk of semi-supervised multitask learning on Gaussian mixture. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | David Simchi-Levi, Chonghuan Wang |
Multi-armed Bandit Experimental Design: Online Decision-making and Adaptive Inference. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Josh Givens, Song Liu, Henry W. J. Reeve |
Density Ratio Estimation and Neyman Pearson Classification with Missing Data. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Huishuai Zhang, Da Yu, Yiping Lu, Di He 0001 |
Adversarial Noises Are Linearly Separable for (Nearly) Random Neural Networks. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Nikolay Krantsevich, Jingyu He, P. Richard Hahn |
Stochastic Tree Ensembles for Estimating Heterogeneous Effects. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Felix Biggs, Benjamin Guedj |
Tighter PAC-Bayes Generalisation Bounds by Leveraging Example Difficulty. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Qi Chen, Mario Marchand |
Algorithm-Dependent Bounds for Representation Learning of Multi-Source Domain Adaptation. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Syama Sundar Rangapuram, Shubham Kapoor, Rajbir-Singh Nirwan, Pedro Mercado, Tim Januschowski, Yuyang Wang 0001, Michael Bohlke-Schneider |
Coherent Probabilistic Forecasting of Temporal Hierarchies. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Aryan Deshwal, Sebastian Ament, Maximilian Balandat, Eytan Bakshy, Janardhan Rao Doppa, David Eriksson |
Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Loay Mualem, Moran Feldman |
Resolving the Approximability of Offline and Online Non-monotone DR-Submodular Maximization over General Convex Sets. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | El-Mahdi El-Mhamdi, Sadegh Farhadkhani, Rachid Guerraoui, Lê-Nguyên Hoang |
On the Strategyproofness of the Geometric Median. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Giannis Nikolentzos, Michail Chatzianastasis, Michalis Vazirgiannis |
Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node Representations. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ikko Yamane, Yann Chevaleyre, Takashi Ishida 0001, Florian Yger |
Mediated Uncoupled Learning and Validation with Bregman Divergences: Loss Family with Maximal Generality. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Kurtland Chua, Qi Lei, Jason D. Lee |
Provable Hierarchy-Based Meta-Reinforcement Learning. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Toshihiro Ota, Ikuro Sato, Rei Kawakami, Masayuki Tanaka 0001, Nakamasa Inoue |
Learning with Partial Forgetting in Modern Hopfield Networks. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Behrooz Tahmasebi, Derek Lim, Stefanie Jegelka |
The Power of Recursion in Graph Neural Networks for Counting Substructures. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Nishant A. Mehta, Junpei Komiyama, Vamsi K. Potluru, Andrea Nguyen, Mica Grant-Hagen |
Thresholded linear bandits. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Qixin Zhang, Zengde Deng, Zaiyi Chen, Kuangqi Zhou, Haoyuan Hu, Yu Yang 0001 |
Online Learning for Non-monotone DR-Submodular Maximization: From Full Information to Bandit Feedback. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Andi Nika, Adish Singla, Goran Radanovic |
Online Defense Strategies for Reinforcement Learning Against Adaptive Reward Poisoning. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Sofia Triantafillou, Fattaneh Jabbari, Gregory F. Cooper |
Learning Treatment Effects from Observational and Experimental Data. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Hengchao Chen, Xiang Li, Qiang Sun |
Statistical Analysis of Karcher Means for Random Restricted PSD Matrices. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Anna Winnicki, R. Srikant 0001 |
On The Convergence Of Policy Iteration-Based Reinforcement Learning With Monte Carlo Policy Evaluation. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang |
Incentive-aware Contextual Pricing with Non-parametric Market Noise. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Christian Fabian, Kai Cui 0001, Heinz Koeppl |
Learning Sparse Graphon Mean Field Games. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Vinod Kumar Chauhan, Soheila Molaei, Marzia Hoque Tania, Anshul Thakur, Tingting Zhu 0001, David A. Clifton |
Adversarial De-confounding in Individualised Treatment Effects Estimation. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Austin J. Stromme |
Sampling From a Schrödinger Bridge. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Eric Xia, Martin J. Wainwright |
Krylov-Bellman boosting: Super-linear policy evaluation in general state spaces. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Arnab Kumar Mondal, Lakshya Singhal, Piyush Tiwary, Parag Singla, Prathosh AP |
Minority Oversampling for Imbalanced Data via Class-Preserving Regularized Auto-Encoders. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Kyungsu Lee, Haeyun Lee, Jae Youn Hwang |
USIM Gate: UpSampling Module for Segmenting Precise Boundaries concerning Entropy. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Pavan Karjol, Rohan Kashyap, Prathosh AP |
Neural Discovery of Permutation Subgroups. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Sarath Pattathil, Kaiqing Zhang, Asuman E. Ozdaglar |
Symmetric (Optimistic) Natural Policy Gradient for Multi-Agent Learning with Parameter Convergence. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Henry B. Moss, Sebastian W. Ober, Victor Picheny |
Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jianyu Xu, Dan Qiao 0002, Yu-Xiang Wang 0003 |
Doubly Fair Dynamic Pricing. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jing Wang, Peng Zhao 0006, Zhi-Hua Zhou |
Revisiting Weighted Strategy for Non-stationary Parametric Bandits. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Thomas Gebhart, Jakob Hansen, Paul Schrater |
Knowledge Sheaves: A Sheaf-Theoretic Framework for Knowledge Graph Embedding. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Flavio Chierichetti, Mirko Giacchini, Ravi Kumar 0001, Alessandro Panconesi, Andrew Tomkins |
Approximating a RUM from Distributions on k-Slates. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Alicia Curth, Mihaela van der Schaar |
Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event Data. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao |
Riemannian Accelerated Gradient Methods via Extrapolation. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ervine Zheng, Qi Yu 0001, Rui Li 0002, Pengcheng Shi, Anne R. Haake |
Knowledge Acquisition for Human-In-The-Loop Image Captioning. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jeroen Berrevoets, Fergus Imrie, Trent Kyono, James Jordon, Mihaela van der Schaar |
To Impute or not to Impute? Missing Data in Treatment Effect Estimation. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Brian Liu, Rahul Mazumder |
ForestPrune: Compact Depth-Pruned Tree Ensembles. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Leonardo Cella, Karim Lounici, Grégoire Pacreau, Massimiliano Pontil |
Multi-task Representation Learning with Stochastic Linear Bandits. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yasutoshi Ida, Sekitoshi Kanai, Atsutoshi Kumagai |
Fast Block Coordinate Descent for Non-Convex Group Regularizations. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jayadev Acharya, Sourbh Bhadane, Arnab Bhattacharyya 0001, Saravanan Kandasamy 0002, Ziteng Sun |
Sample Complexity of Distinguishing Cause from Effect. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Pranjal Awasthi, Corinna Cortes, Christopher Mohri |
Theory and Algorithm for Batch Distribution Drift Problems. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Christopher Harker, Aditya Bhaskara |
Structure of Nonlinear Node Embeddings in Stochastic Block Models. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Sivan Sabato |
Improved Robust Algorithms for Learning with Discriminative Feature Feedback. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Junjie Yang, Tianlong Chen, Mingkang Zhu, Fengxiang He, Dacheng Tao, Yingbin Liang, Zhangyang Wang |
Learning to Generalize Provably in Learning to Optimize. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Qingzhong Ai, Pengyun Wang, Lirong He, Liangjian Wen, Lujia Pan, Zenglin Xu |
Generative Oversampling for Imbalanced Data via Majority-Guided VAE. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Harry Jake Cunningham, Daniel Augusto de Souza, So Takao, Mark van der Wilk, Marc Peter Deisenroth |
Actually Sparse Variational Gaussian Processes. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Nabeel Seedat, Alan Jeffares, Fergus Imrie, Mihaela van der Schaar |
Improving Adaptive Conformal Prediction Using Self-Supervised Learning. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Quentin Bertrand, Wojciech Marian Czarnecki, Gauthier Gidel |
On the Limitations of the Elo, Real-World Games are Transitive, not Additive. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Giovanni Luca Marchetti, Vladislav Polianskii, Anastasiia Varava, Florian T. Pokorny, Danica Kragic |
An Efficient and Continuous Voronoi Density Estimator. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Taejin Kim, Shubhranshu Singh, Nikhil Madaan, Carlee Joe-Wong |
Characterizing Internal Evasion Attacks in Federated Learning. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Gianluigi Lopardo, Frédéric Precioso, Damien Garreau |
A Sea of Words: An In-Depth Analysis of Anchors for Text Data. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Muhammad Faaiz Taufiq, Patrick Blöbaum, Lenon Minorics |
Manifold Restricted Interventional Shapley Values. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Marina Drygala, Sai Ganesh Nagarajan, Ola Svensson |
Online Algorithms with Costly Predictions. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski |
Computing Abductive Explanations for Boosted Trees. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Tom Hess, Ron Visbord, Sivan Sabato |
Fast Distributed k-Means with a Small Number of Rounds. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zhiyue Zhang, Hongyuan Mei, Yanxun Xu |
Continuous-Time Decision Transformer for Healthcare Applications. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Aadirupa Saha, Aldo Pacchiano, Jonathan Lee 0002 |
Dueling RL: Reinforcement Learning with Trajectory Preferences. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Alberto Cabezas, Christopher Nemeth |
Transport Elliptical Slice Sampling. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Mukund Sudarshan, Aahlad Manas Puli, Wesley Tansey, Rajesh Ranganath |
DIET: Conditional independence testing with marginal dependence measures of residual information. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jixiang Qing, Henry B. Moss, Tom Dhaene, Ivo Couckuyt |
PF2ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Egor Gladin, Maksim Lavrik-Karmazin, Karina Zainullina, Varvara Rudenko, Alexander V. Gasnikov, Martin Takác 0001 |
Algorithm for Constrained Markov Decision Process with Linear Convergence. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zhe Huang, Mary-Joy Sidhom, Benjamin Wessler, Michael C. Hughes |
Fix-A-Step: Semi-supervised Learning From Uncurated Unlabeled Data. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Felix Jimenez, Matthias Katzfuss |
Scalable Bayesian Optimization Using Vecchia Approximations of Gaussian Processes. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Aidan Scannell, Carl Henrik Ek, Arthur Richards |
Mode-constrained Model-based Reinforcement Learning via Gaussian Processes. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Youssef Allouah, Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan |
Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Simon Barthelmé, Nicolas Tremblay, Pierre-Olivier Amblard |
A Faster Sampler for Discrete Determinantal Point Processes. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Russell Tsuchida, Cheng Soon Ong |
Deep equilibrium models as estimators for continuous latent variables. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Arshak Minasyan, Tigran Galstyan, Sona Hunanyan, Arnak S. Dalalyan |
Matching Map Recovery with an Unknown Number of Outliers. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Young-Geun Kim, Ying Liu, Xuexin Wei |
Covariate-informed Representation Learning to Prevent Posterior Collapse of iVAE. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Hyunglip Bae, Jinkyu Lee, Woo Chang Kim, Yongjae Lee |
Deep Value Function Networks for Large-Scale Multistage Stochastic Programs. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Vishnu Raj, Tianyu Cui, Markus Heinonen, Pekka Marttinen |
Incorporating functional summary information in Bayesian neural networks using a Dirichlet process likelihood approach. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Matthias Rath 0001, Alexandru Paul Condurache |
Deep Neural Networks with Efficient Guaranteed Invariances. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Xianyang Zhang, Trisha Dawn |
Sequential Gradient Descent and Quasi-Newton's Method for Change-Point Analysis. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ben London 0001, Levi Lu, Ted Sandler, Thorsten Joachims |
Boosted Off-Policy Learning. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Ruihan Wu, Jin Peng Zhou, Kilian Q. Weinberger, Chuan Guo |
Does Label Differential Privacy Prevent Label Inference Attacks? |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Grigor Keropyan, David Strieder, Mathias Drton |
Rank-Based Causal Discovery for Post-Nonlinear Models. |
AISTATS |
2023 |
DBLP BibTeX RDF |
|
| 1 | Xingyu Xu 0001, Yuantao Gu |
Benign overfitting of non-smooth neural networks beyond lazy training. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Xinyi Xu, Zhaoxuan Wu, Arun Verma, Chuan Sheng Foo, Bryan Kian Hsiang Low |
FAIR: Fair Collaborative Active Learning with Individual Rationality for Scientific Discovery. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Grzegorz Gluch, Khashayar Barooti, Rüdiger L. Urbanke |
Breaking a Classical Barrier for Classifying Arbitrary Test Examples in the Quantum Model. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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| 1 | Banghua Zhu, Lun Wang, Qi Pang, Shuai Wang 0011, Jiantao Jiao, Dawn Song, Michael I. Jordan |
Byzantine-Robust Federated Learning with Optimal Statistical Rates. |
AISTATS |
2023 |
DBLP BibTeX RDF |
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