Han Zhao

J. Mach. Learn. Res., 2024

A survey of recent methods for addressing AI fairness and bias in biomedicine.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2024

On the Expressive Power of Tree-Structured Probabilistic Circuits.

[BibT_eX]

[DOI]

Lang Yin

CoRR, 2024

Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal Transport.

[BibT_eX]

[DOI]

CoRR, 2024

Most Influential Subset Selection: Challenges, Promises, and Beyond.

[BibT_eX]

[DOI]

CoRR, 2024

LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch.

[BibT_eX]

[DOI]

CoRR, 2024

Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic.

[BibT_eX]

[DOI]

CoRR, 2024

RLHF Workflow: From Reward Modeling to Online RLHF.

[BibT_eX]

[DOI]

CoRR, 2024

Optimal Group Fair Classifiers from Linear Post-Processing.

[BibT_eX]

[DOI]

CoRR, 2024

S4: Self-Supervised Sensing Across the Spectrum.

[BibT_eX]

[DOI]

CoRR, 2024

Fair and optimal prediction via post-processing.

[BibT_eX]

[DOI]

AI Mag., 2024

Differentially Private Post-Processing for Fair Regression.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Pairwise Alignment Improves Graph Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Robust Multi-Task Learning with Excess Risks.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Mitigating the Alignment Tax of RLHF.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Semi-Supervised Reward Modeling via Iterative Self-Training.

[BibT_eX]

[DOI]

Yifei He

Ziyan Jiang

Alexandros Papangelis

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Fast 1-Wasserstein distance approximations using greedy strategies.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Towards Practical Non-Adversarial Distribution Matching.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective Rewards.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Costs and Benefits of Fair Regression.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Adaptation Augmented Model-based Policy Optimization.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2023

Invariant-Feature Subspace Recovery: A New Class of Provable Domain Generalization Algorithms.

[BibT_eX]

[DOI]

Gargi Balasubramaniam

Haozhe Si

Bo Li

CoRR, 2023

Towards Practical Non-Adversarial Distribution Alignment via Variational Bounds.

[BibT_eX]

[DOI]

CoRR, 2023

Gradual Domain Adaptation: Theory and Algorithms.

[BibT_eX]

[DOI]

CoRR, 2023

An Empirical Study of Simplicial Representation Learning with Wasserstein Distance.

[BibT_eX]

[DOI]

Makoto Yamada

Yuki Takezawa

Guillaume Houry

Kira Michaela Dusterwald

Déborah Sulem

CoRR, 2023

Learning Multiplex Embeddings on Text-rich Networks with One Text Encoder.

[BibT_eX]

[DOI]

CoRR, 2023

SC2GAN: Rethinking Entanglement by Self-correcting Correlated GAN Space.

[BibT_eX]

[DOI]

CoRR, 2023

Mitigating the Alignment Tax of RLHF.

[BibT_eX]

[DOI]

CoRR, 2023

In-Context Learning of Large Language Models Explained as Kernel Regression.

[BibT_eX]

[DOI]

CoRR, 2023

Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs.

[BibT_eX]

[DOI]

Costas Mavromatis

Vassilis N. Ioannidis

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Learning List-Level Domain-Invariant Representations for Ranking.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Efficient Learning of Linear Graph Neural Networks via Node Subsampling.

[BibT_eX]

[DOI]

Seiyun Shin

Ilan Shomorony

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Revisiting Scalarization in Multi-Task Learning: A Theoretical Perspective.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Fair and Optimal Classification via Post-Processing.

[BibT_eX]

[DOI]

Lang Yin

Proceedings of the International Conference on Machine Learning, 2023

Structural Re-weighting Improves Graph Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Understanding the Impact of Adversarial Robustness on Accuracy Disparity.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Learning Structured Representations by Embedding Class Hierarchy.

[BibT_eX]

[DOI]

Siqi Zeng

Proceedings of the Eleventh International Conference on Learning Representations, 2023

SC<sup>2</sup>GAN: Rethinking Entanglement by Self-correcting Correlated GAN Space.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

FedMM: A Communication Efficient Solver for Federated Adversarial Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Adaptive Power Method: Eigenvector Estimation from Sampled Data.

[BibT_eX]

[DOI]

Seiyun Shin

Alberto L. Sangiovanni-Vincentelli

Ilan Shomorony

Proceedings of the International Conference on Algorithmic Learning Theory, 2023

2022

A Review of Single-Source Deep Unsupervised Visual Domain Adaptation.

[BibT_eX]

[DOI]

Sanjit A. Seshia

Kurt Keutzer

IEEE Trans. Neural Networks Learn. Syst., 2022

Algorithms and Theory for Supervised Gradual Domain Adaptation.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2022

Inherent Tradeoffs in Learning Fair Representations.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2022

Fundamental Limits and Tradeoffs in Invariant Representation Learning.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2022

Fair and Optimal Classification via Transports to Wasserstein-Barycenter.

[BibT_eX]

[DOI]

Lang Yin

CoRR, 2022

FOCUS: Fairness via Agent-Awareness for Federated Learning on Heterogeneous Data.

[BibT_eX]

[DOI]

CoRR, 2022

Model-Agnostic Multitask Fine-tuning for Few-shot Vision-Language Transfer Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Greedy modality selection via approximate submodular maximization.

[BibT_eX]

[DOI]

Runxiang Cheng

Gargi Balasubramaniam

Yifei He

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Provable Domain Generalization via Invariant-Feature Subspace Recovery.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond.

[BibT_eX]

[DOI]

Bo Li

Proceedings of the International Conference on Machine Learning, 2022

Cross-Lingual Transfer with Class-Weighted Language-Invariant Representations.

[BibT_eX]

[DOI]

Heng Ji

Proceedings of the Tenth International Conference on Learning Representations, 2022

Conditional Contrastive Learning with Kernel.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Conditional Supervised Contrastive Learning for Fair Text Classification.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Exploring Gradient-Based Multi-directional Controls in GANs.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Rethinking Controllable Variational Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Online Continual Adaptation with Active Self-Training.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Towards Return Parity in Markov Decision Processes.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Invariant Information Bottleneck for Domain Generalization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Towards a Unified Framework for Learning and Reasoning.

[BibT_eX]

[DOI]

PhD thesis, 2021

Costs and Benefits of Wasserstein Fair Regression.

[BibT_eX]

[DOI]

CoRR, 2021

Invariant Information Bottleneck for Domain Generalization.

[BibT_eX]

[DOI]

CoRR, 2021

Conditional Contrastive Learning: Removing Undesirable Information in Self-Supervised Representations.

[BibT_eX]

[DOI]

CoRR, 2021

Quantifying and Improving Transferability in Domain Generalization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Machine Learning for Consumers and Markets.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation.

[BibT_eX]

[DOI]

Bo Li

Proceedings of the 38th International Conference on Machine Learning, 2021

Information Obfuscation of Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Understanding and Mitigating Accuracy Disparity in Regression.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Self-supervised Representation Learning with Relative Predictive Coding.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

EventKE: Event-Enhanced Knowledge Graph Embedding.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Learning Invariant Representations and Risks for Semi-Supervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Graph Adversarial Networks: Protecting Information against Adversarial Attacks.

[BibT_eX]

[DOI]

CoRR, 2020

DyCRS: Dynamic Interpretable Postoperative Complication Risk Scoring.

[BibT_eX]

[DOI]

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Neural Methods for Point-wise Dependency Estimation.

[BibT_eX]

[DOI]

Makoto Yamada

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift.

[BibT_eX]

[DOI]

Yu-Xiang Wang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Model-based Policy Optimization with Unsupervised Model Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

On Learning Language-Invariant Representations for Universal Machine Translation.

[BibT_eX]

[DOI]

Junjie Hu

Andrej Risteski

Proceedings of the 37th International Conference on Machine Learning, 2020

Continual Learning with Adaptive Weights (CLAW).

[BibT_eX]

[DOI]

Tameem Adel

Richard E. Turner

Proceedings of the 8th International Conference on Learning Representations, 2020

Conditional Learning of Fair Representations.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Deep Fair Clustering for Visual Learning.

[BibT_eX]

[DOI]

Peizhao Li

Hongfu Liu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Inherent Tradeoffs in Learning Fair Representation.

[BibT_eX]

[DOI]

CoRR, 2019

Adversarial Task-Specific Privacy Preservation under Attribute Attack.

[BibT_eX]

[DOI]

CoRR, 2019

On Learning Invariant Representation for Domain Adaptation.

[BibT_eX]

[DOI]

Kun Zhang

CoRR, 2019

Efficient Multitask Feature and Relationship Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Learning Neural Networks with Adaptive Regularization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

On Strategyproof Conference Peer Review.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

On Learning Invariant Representations for Domain Adaptation.

[BibT_eX]

[DOI]

Kun Zhang

Proceedings of the 36th International Conference on Machine Learning, 2019

Active Learning of Strict Partial Orders: A Case Study on Concept Prerequisite Relations.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Educational Data Mining, 2019

Deep Generative and Discriminative Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

Frank-Wolfe Optimization for Symmetric-NMF under Simplicial Constraint.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Adversarial Multiple Source Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Multiple Source Domain Adaptation with Adversarial Learning.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Convolutional-Recurrent Neural Networks for Speech Enhancement.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Discovering Order in Unordered Datasets: Generative Markov Networks.

[BibT_eX]

[DOI]

CoRR, 2017

Multiple Source Domain Adaptation with Adversarial Training of Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2017

Principled Hybrids of Generative and Discriminative Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2017

Efficient Multi-task Feature and Relationship Learning.

[BibT_eX]

[DOI]

CoRR, 2017

Efficient Computation of Moments in Sum-Product Networks.

[BibT_eX]

[DOI]

CoRR, 2017

Linear Time Computation of Moments in Sum-Product Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Unsupervised Domain Adaptation with a Relaxed Covariate Shift Assumption.

[BibT_eX]

[DOI]

Tameem Adel

Alexander Wong

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Online Algorithms for Sum-Product Networks with Continuous Variables.

[BibT_eX]

[DOI]

Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016

A Unified Approach for Learning the Parameters of Sum-Product Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Collapsed Variational Inference for Sum-Product Networks.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

Online and Distributed Bayesian Moment Matching for Parameter Learning in Sum-Product Networks.

[BibT_eX]

[DOI]

Abdullah Rashwan

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Global Network Alignment in the Context of Aging.

[BibT_eX]

[DOI]

Fazle Elahi Faisal

Tijana Milenkovic

IEEE ACM Trans. Comput. Biol. Bioinform., 2015

Self-Adaptive Hierarchical Sentence Model.

[BibT_eX]

[DOI]

Zhengdong Lu

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

On the Relationship between Sum-Product Networks and Bayesian Networks.

[BibT_eX]

[DOI]

Mazen Melibari

Proceedings of the 32nd International Conference on Machine Learning, 2015

SoF: Soft-Cluster Matrix Factorization for Probabilistic Clustering.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

A Sober Look at Spectral Learning.

[BibT_eX]

[DOI]

CoRR, 2014

2013

Using Global Network Alignment In The Context Of Aging.

[BibT_eX]

[DOI]

Tijana Milenkovic