| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Ryan Thompson, Edwin V. Bonilla, Robert Kohn |
Contextual Directed Acyclic Graphs.  |
AISTATS  |
2024 |
DBLP BibTeX RDF |
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| 1 | Yuling Yao, Bruno Régaldo-Saint Blancard, Justin Domke |
Simulation-Based Stacking. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Tom Sander, Maxime Sylvestre, Alain Durmus |
Implicit Bias in Noisy-SGD: With Applications to Differentially Private Training. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Bianca Marin Moreno, Margaux Brégère, Pierre Gaillard, Nadia Oudjane |
Efficient Model-Based Concave Utility Reinforcement Learning through Greedy Mirror Descent. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Dongxia Wu, Tsuyoshi Idé, Georgios Kollias, Jirí Navrátil 0001, Aurélie C. Lozano, Naoki Abe, Yian Ma, Rose Yu |
Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Mohan Wu, Martin Lysy |
Data-Adaptive Probabilistic Likelihood Approximation for Ordinary Differential Equations. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Chendi Qian, Didier Chételat, Christopher Morris 0001 |
Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Siqi Zhang, Yifan Hu, Liang Zhang, Niao He |
Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax Optimization. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Viktor Bengs, Björn Haddenhorst, Eyke Hüllermeier |
Identifying Copeland Winners in Dueling Bandits with Indifferences. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Chung-En Tsai, Hao-Chung Cheng, Yen-Huan Li |
Fast Minimization of Expected Logarithmic Loss via Stochastic Dual Averaging. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Jimmy Hickey, Ricardo Henao, Daniel Wojdyla, Michael J. Pencina, Matthew Engelhard |
Adaptive Discretization for Event PredicTion (ADEPT). |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Yinuo Ren, Chao Ma 0012, Lexing Ying |
Understanding the Generalization Benefits of Late Learning Rate Decay. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Lesi Chen, Haishan Ye, Luo Luo |
An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Yuya Yoshikawa, Tomoharu Iwata |
Explanation-based Training with Differentiable Insertion/Deletion Metric-aware Regularizers. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Cai Zhou, Rose Yu, Yusu Wang 0001 |
On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Alexandra Maria Hotti, Lennart Alexander Van der Goten, Jens Lagergren |
Benefits of Non-Linear Scale Parameterizations in Black Box Variational Inference through Smoothness Results and Gradient Variance Bounds. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Shima Alizadeh, Aniruddha Bhargava, Karthick Gopalswamy, Lalit Jain, Branislav Kveton, Ge Liu |
Pessimistic Off-Policy Multi-Objective Optimization. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Pavan Karjol, Rohan Kashyap, Aditya Gopalan, A. P. Prathosh |
A Unified Framework for Discovering Discrete Symmetries. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Neharika Jali, Guannan Qu, Weina Wang 0001, Gauri Joshi |
Efficient Reinforcement Learning for Routing Jobs in Heterogeneous Queueing Systems. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Daniel Dold, David Rügamer, Beate Sick, Oliver Dürr |
Bayesian Semi-structured Subspace Inference. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Boris Flach, Dmitrij Schlesinger, Alexander Shekhovtsov |
Symmetric Equilibrium Learning of VAEs. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Yu Inatsu, Shion Takeno, Hiroyuki Hanada, Kazuki Iwata, Ichiro Takeuchi |
Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Zhao Song 0002, Junze Yin, Lichen Zhang 0003, Ruizhe Zhang 0001 |
Fast Dynamic Sampling for Determinantal Point Processes. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Samson J. Koelle, Hanyu Zhang, Octavian-Vlad Murad, Marina Meila |
Consistency of Dictionary-Based Manifold Learning. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Rustem Islamov, Mher Safaryan, Dan Alistarh |
AsGrad: A Sharp Unified Analysis of Asynchronous-SGD Algorithms. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Zitong Ma, Wenbo Zhao, Zhe Yang |
Directed Hypergraph Representation Learning for Link Prediction. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Ayman Chaouki, Jesse Read, Albert Bifet |
Online Learning of Decision Trees with Thompson Sampling. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Rohan Deb, Aadirupa Saha, Arindam Banerjee |
Think Before You Duel: Understanding Complexities of Preference Learning under Constrained Resources. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Junze Deng, Yuan Cheng, Shaofeng Zou, Yingbin Liang |
Sample Complexity Characterization for Linear Contextual MDPs. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Naitong Chen, Trevor Campbell |
Coreset Markov chain Monte Carlo. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Yingcong Li, Yixiao Huang, Muhammed Emrullah Ildiz, Ankit Singh Rawat, Samet Oymak |
Mechanics of Next Token Prediction with Self-Attention. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Jhanvi Garg, Xianyang Zhang, Quan Zhou |
Soft-constrained Schrödinger Bridge: a Stochastic Control Approach. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Vincent Plassier, Nikita Kotelevskii, Aleksandr Rubashevskii, Fedor Noskov, Maksim Velikanov, Alexander Fishkov, Samuel Horváth, Martin Takác 0001, Eric Moulines, Maxim Panov |
Efficient Conformal Prediction under Data Heterogeneity. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Nicolas Huynh, Jeroen Berrevoets, Nabeel Seedat, Jonathan Crabbé, Zhaozhi Qian, Mihaela van der Schaar |
DAGnosis: Localized Identification of Data Inconsistencies using Structures. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Chris Cundy, Rishi Desai, Stefano Ermon |
Privacy-Constrained Policies via Mutual Information Regularized Policy Gradients. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Lucas Cosier, Rares Iordan, Sicelukwanda N. T. Zwane, Giovanni Franzese, James T. Wilson, Marc Peter Deisenroth, Alexander Terenin, Yasemin Bekiroglu |
A Unifying Variational Framework for Gaussian Process Motion Planning. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Kevin Li, Max Balakirsky, Simon Mak |
Trigonometric Quadrature Fourier Features for Scalable Gaussian Process Regression. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Ethan B. Andrew, David Westhead, Luisa Cutillo |
GmGM: a fast multi-axis Gaussian graphical model. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Maheed H. Ahmed, Mahsa Ghasemi |
Privacy-Preserving Decentralized Actor-Critic for Cooperative Multi-Agent Reinforcement Learning. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Francesco Bacchiocchi, Gianmarco Genalti, Davide Maran, Marco Mussi, Marcello Restelli, Nicola Gatti 0001, Alberto Maria Metelli |
Autoregressive Bandits. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Soo Min Kwon, Zekai Zhang, Dogyoon Song, Laura Balzano, Qing Qu 0001 |
Efficient Low-Dimensional Compression of Overparameterized Models. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Michael Rizvi-Martel, Maude Lizaire, Clara Lacroce, Guillaume Rabusseau |
Simulating weighted automata over sequences and trees with transformers. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Jiaqi Zhang, Kirankumar Shiragur, Caroline Uhler |
Membership Testing in Markov Equivalence Classes via Independence Queries. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Nikita Puchkin, Eduard Gorbunov, Nikolay Kutuzov, Alexander V. Gasnikov |
Breaking the Heavy-Tailed Noise Barrier in Stochastic Optimization Problems. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Velibor Bojkovic, Srinivas Anumasa, Giulia De Masi, Bin Gu, Huan Xiong |
Data Driven Threshold and Potential Initialization for Spiking Neural Networks. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Yun-Peng Li, Hans-Andrea Loeliger |
Backward Filtering Forward Deciding in Linear Non-Gaussian State Space Models. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Hao Liang, Zhiquan Luo |
Regret Bounds for Risk-sensitive Reinforcement Learning with Lipschitz Dynamic Risk Measures. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Tolga Dimlioglu, Anna Choromanska |
GRAWA: Gradient-based Weighted Averaging for Distributed Training of Deep Learning Models. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Yu Yang 0007, Eric Gan, Gintare Karolina Dziugaite, Baharan Mirzasoleiman |
Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Patrick Kolpaczki, Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier |
SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Tam Le, Truyen Nguyen, Kenji Fukumizu |
Optimal Transport for Measures with Noisy Tree Metric. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Dmytro Velychko, Simon Damm, Asja Fischer, Jörg Lücke |
Learning Sparse Codes with Entropy-Based ELBOs. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Qing En, Yuhong Guo |
Cross-model Mutual Learning for Exemplar-based Medical Image Segmentation. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Huy Nguyen, TrungTin Nguyen, Khai Nguyen, Nhat Ho |
Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Davin Choo, Kirankumar Shiragur, Caroline Uhler |
Causal Discovery under Off-Target Interventions. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Abhinav Chakraborty, Anirban Chatterjee, Abhinandan Dalal |
PrIsing: Privacy-Preserving Peer Effect Estimation via Ising Model. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Yash P. Patel, Sahana Rayan, Ambuj Tewari |
Conformal Contextual Robust Optimization. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Felip Guimerà Cuevas, Helmut Schmid |
Robust Non-linear Normalization of Heterogeneous Feature Distributions with Adaptive Tanh-Estimators. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Jin Zhu, Runzhe Wan, Zhengling Qi, Shikai Luo, Chengchun Shi |
Robust Offline Reinforcement Learning with Heavy-Tailed Rewards. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Juanwu Lu, Wei Zhan, Masayoshi Tomizuka, Yeping Hu |
Towards Generalizable and Interpretable Motion Prediction: A Deep Variational Bayes Approach. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Jin Sima, Changlong Wu, Olgica Milenkovic, Wojciech Szpankowski |
Online Distribution Learning with Local Privacy Constraints. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Phi Vu Tran |
LEDetection: A Simple Framework for Semi-Supervised Few-Shot Object Detection. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Maosheng Yang, Viacheslav Borovitskiy, Elvin Isufi |
Hodge-Compositional Edge Gaussian Processes. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Andi Nika, Debmalya Mandal, Adish Singla, Goran Radanovic |
Corruption-Robust Offline Two-Player Zero-Sum Markov Games. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Serena Lutong Wang, Stephen Bates, P. M. Aronow, Michael I. Jordan |
On Counterfactual Metrics for Social Welfare: Incentives, Ranking, and Information Asymmetry. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Weichen Li, Rati Devidze, Waleed Mustafa, Sophie Fellenz |
Ethics in Action: Training Reinforcement Learning Agents for Moral Decision-making In Text-based Adventure Games. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Mehran Shakerinava, Motahareh Sohrabi, Siamak Ravanbakhsh, Simon Lacoste-Julien |
Weight-Sharing Regularization. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Yookoon Park, David M. Blei |
Density Uncertainty Layers for Reliable Uncertainty Estimation. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Gandharv Patil, Aditya Mahajan, Doina Precup |
On learning history-based policies for controlling Markov decision processes. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Marzi Heidari, Abdullah Alchihabi, Qing En, Yuhong Guo |
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Dongsheng Ding, Zhengyan Huan, Alejandro Ribeiro |
Resilient Constrained Reinforcement Learning. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Washim Uddin Mondal, Vaneet Aggarwal |
Improved Sample Complexity Analysis of Natural Policy Gradient Algorithm with General Parameterization for Infinite Horizon Discounted Reward Markov Decision Processes. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Yang Cai 0001, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng |
Near-Optimal Policy Optimization for Correlated Equilibrium in General-Sum Markov Games. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Fahad Kamran, Maggie Makar, Jenna Wiens |
Learning to Rank for Optimal Treatment Allocation Under Resource Constraints. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Shubham Gupta, Peter W. J. Staar, Christian de Sainte Marie |
Clustering Items From Adaptively Collected Inconsistent Feedback. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Oskar Kviman, Nicola Branchini, Víctor Elvira, Jens Lagergren |
Variational Resampling. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Matthew J. Holland |
Robust variance-regularized risk minimization with concomitant scaling. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Pratik Patil, Yuchen Wu, Ryan J. Tibshirani |
Failures and Successes of Cross-Validation for Early-Stopped Gradient Descent. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Angela Zhou |
Reward-Relevance-Filtered Linear Offline Reinforcement Learning. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Jizhou Liu, Eric Tchetgen Tchetgen, Carlos Varjão |
Proximal Causal Inference for Synthetic Control with Surrogates. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Princewill Okoroafor, Robert D. Kleinberg, Wen Sun |
Faster Recalibration of an Online Predictor via Approachability. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Daoping Wu, Suhas Gundimeda, Shaoshuai Mou, Christopher J. Quinn |
Unsupervised Change Point Detection in Multivariate Time Series. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Hossein Zakerinia, Shayan Talaei, Giorgi Nadiradze, Dan Alistarh |
Communication-Efficient Federated Learning With Data and Client Heterogeneity. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Ambroise Odonnat, Vasilii Feofanov, Ievgen Redko |
Leveraging Ensemble Diversity for Robust Self-Training in the Presence of Sample Selection Bias. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Yiling Kuang, Chao Yang, Yang Yang, Shuang Li |
Unveiling Latent Causal Rules: A Temporal Point Process Approach for Abnormal Event Explanation. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Piersilvio De Bartolomeis, Javier Abad Martinez, Konstantin Donhauser, Fanny Yang |
Hidden yet quantifiable: A lower bound for confounding strength using randomized trials. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Amirhesam Abedsoltan, Parthe Pandit, Luis Rademacher, Mikhail Belkin |
On the Nyström Approximation for Preconditioning in Kernel Machines. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Anqi Mao, Mehryar Mohri, Yutao Zhong 0002 |
Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Zeqi Ye, Hansheng Jiang |
Smoothness-Adaptive Dynamic Pricing with Nonparametric Demand Learning. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Wei Shen, Minhui Huang, Jiawei Zhang, Cong Shen |
Stochastic Smoothed Gradient Descent Ascent for Federated Minimax Optimization. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Panagiotis Lymperopoulos, Liping Liu 0001 |
Graph Pruning for Enumeration of Minimal Unsatisfiable Subsets. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Alex Zhai, Dee Guo, Sreenivas Gollapudi, Kostas Kollias, Daniel Delling |
Deep Learning-Based Alternative Route Computation. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Bhagyashree Puranik, Ahmad Beirami, Yao Qin 0001, Upamanyu Madhow |
Improving Robustness via Tilted Exponential Layer: A Communication-Theoretic Perspective. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Nikita Tsoy, Anna Mihalkova, Teodora N. Todorova, Nikola Konstantinov |
Provable Mutual Benefits from Federated Learning in Privacy-Sensitive Domains. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Jacob Trauger, Ambuj Tewari |
Sequence Length Independent Norm-Based Generalization Bounds for Transformers. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Pavel E. Dvurechensky, Jia-Jie Zhu |
Analysis of Kernel Mirror Prox for Measure Optimization. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Buu Phan, Ashish Khisti, Christos Louizos |
Importance Matching Lemma for Lossy Compression with Side Information. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Felix Draxler, Peter Sorrenson, Lea Zimmermann, Armand Rousselot, Ullrich Köthe |
Free-form Flows: Make Any Architecture a Normalizing Flow. |
AISTATS |
2024 |
DBLP BibTeX RDF |
|
| 1 | Eliot Shekhtman, Sarah Dean |
Strategic Usage in a Multi-Learner Setting. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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| 1 | Petru Tighineanu, Lukas Grossberger, Paul Baireuther, Kathrin Skubch, Stefan Falkner, Julia Vinogradska, Felix Berkenkamp |
Scalable Meta-Learning with Gaussian Processes. |
AISTATS |
2024 |
DBLP BibTeX RDF |
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