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Yingyu Liang
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2020 – today
- 2024
- [c60]Zhuoyan Xu, Zhenmei Shi, Junyi Wei, Fangzhou Mu, Yin Li, Yingyu Liang:
Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning. ICLR 2024 - [c59]Nils Palumbo, Yang Guo, Xi Wu, Jiefeng Chen, Yingyu Liang, Somesh Jha:
Two Heads are Actually Better than One: Towards Better Adversarial Robustness via Transduction and Rejection. ICML 2024 - [c58]Zhenmei Shi, Junyi Wei, Zhuoyan Xu, Yingyu Liang:
Why Larger Language Models Do In-context Learning Differently? ICML 2024 - [i70]Jiuxiang Gu, Chenyang Li, Yingyu Liang, Zhenmei Shi, Zhao Song, Tianyi Zhou:
Fourier Circuits in Neural Networks: Unlocking the Potential of Large Language Models in Mathematical Reasoning and Modular Arithmetic. CoRR abs/2402.09469 (2024) - [i69]Zhuoyan Xu, Zhenmei Shi, Junyi Wei, Fangzhou Mu, Yin Li, Yingyu Liang:
Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning. CoRR abs/2402.15017 (2024) - [i68]Jiuxiang Gu, Chenyang Li, Yingyu Liang, Zhenmei Shi, Zhao Song:
Exploring the Frontiers of Softmax: Provable Optimization, Applications in Diffusion Model, and Beyond. CoRR abs/2405.03251 (2024) - [i67]Jiuxiang Gu, Yingyu Liang, Heshan Liu, Zhenmei Shi, Zhao Song, Junze Yin:
Conv-Basis: A New Paradigm for Efficient Attention Inference and Gradient Computation in Transformers. CoRR abs/2405.05219 (2024) - [i66]Jiuxiang Gu, Yingyu Liang, Zhenmei Shi, Zhao Song, Yufa Zhou:
Tensor Attention Training: Provably Efficient Learning of Higher-order Transformers. CoRR abs/2405.16411 (2024) - [i65]Jiuxiang Gu, Yingyu Liang, Zhenmei Shi, Zhao Song, Yufa Zhou:
Unraveling the Smoothness Properties of Diffusion Models: A Gaussian Mixture Perspective. CoRR abs/2405.16418 (2024) - [i64]Zhenmei Shi, Junyi Wei, Zhuoyan Xu, Yingyu Liang:
Why Larger Language Models Do In-context Learning Differently? CoRR abs/2405.19592 (2024) - [i63]Jiuxiang Gu, Yingyu Liang, Zhenmei Shi, Zhao Song, Chiwun Yang:
Toward Infinite-Long Prefix in Transformer. CoRR abs/2406.14036 (2024) - [i62]Jiuxiang Gu, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song:
Differential Privacy Mechanisms in Neural Tangent Kernel Regression. CoRR abs/2407.13621 (2024) - [i61]Jiuxiang Gu, Yingyu Liang, Zhenmei Shi, Zhao Song, Yufa Zhou:
Differential Privacy of Cross-Attention with Provable Guarantee. CoRR abs/2407.14717 (2024) - [i60]Zhuoyan Xu, Zhenmei Shi, Yingyu Liang:
Do Large Language Models Have Compositional Ability? An Investigation into Limitations and Scalability. CoRR abs/2407.15720 (2024) - [i59]Jiuxiang Gu, Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song, Junwei Yu:
Fast John Ellipsoid Computation with Differential Privacy Optimization. CoRR abs/2408.06395 (2024) - [i58]Xiaoyu Li, Yingyu Liang, Zhenmei Shi, Zhao Song:
A Tighter Complexity Analysis of SparseGPT. CoRR abs/2408.12151 (2024) - [i57]Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song, Yufa Zhou:
Multi-Layer Transformers Gradient Can be Approximated in Almost Linear Time. CoRR abs/2408.13233 (2024) - 2023
- [j15]Yingyu Liang, Yi Ren, Weixuan He:
An Enhanced Current Differential Protection for AC Transmission Lines Connecting MMC-HVDC Stations. IEEE Syst. J. 17(1): 892-903 (2023) - [j14]Yingyu Liang, Yi Ren, Zhi Zhang:
Pilot Protection Based on Two-Dimensional Space Projection of Dual Differential Currents for Lines Connecting MMC-HVDC Stations. IEEE Trans. Ind. Electron. 70(5): 4356-4368 (2023) - [c57]Zhenmei Shi, Jiefeng Chen, Kunyang Li, Jayaram Raghuram, Xi Wu, Yingyu Liang, Somesh Jha:
The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning. ICLR 2023 - [c56]Jiefeng Chen, Jayaram Raghuram, Jihye Choi, Xi Wu, Yingyu Liang, Somesh Jha:
Stratified Adversarial Robustness with Rejection. ICML 2023: 4867-4894 - [c55]Yiyou Sun, Zhenmei Shi, Yingyu Liang, Yixuan Li:
When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis. ICML 2023: 33014-33043 - [c54]Utkarsh Ojha, Yuheng Li, Anirudh Sundara Rajan, Yingyu Liang, Yong Jae Lee:
What Knowledge Gets Distilled in Knowledge Distillation? NeurIPS 2023 - [c53]Zhenmei Shi, Junyi Wei, Yingyu Liang:
Provable Guarantees for Neural Networks via Gradient Feature Learning. NeurIPS 2023 - [i56]Zhenmei Shi, Jiefeng Chen, Kunyang Li, Jayaram Raghuram, Xi Wu, Yingyu Liang, Somesh Jha:
The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning. CoRR abs/2303.00106 (2023) - [i55]Zhenmei Shi, Yifei Ming, Ying Fan, Frederic Sala, Yingyu Liang:
Domain Generalization via Nuclear Norm Regularization. CoRR abs/2303.07527 (2023) - [i54]Jiefeng Chen, Jayaram Raghuram, Jihye Choi, Xi Wu, Yingyu Liang, Somesh Jha:
Stratified Adversarial Robustness with Rejection. CoRR abs/2305.01139 (2023) - [i53]Nils Palumbo, Yang Guo, Xi Wu, Jiefeng Chen, Yingyu Liang, Somesh Jha:
Two Heads are Better than One: Towards Better Adversarial Robustness by Combining Transduction and Rejection. CoRR abs/2305.17528 (2023) - [i52]Yiyou Sun, Zhenmei Shi, Yingyu Liang, Yixuan Li:
When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis. CoRR abs/2308.05017 (2023) - [i51]Zhenmei Shi, Junyi Wei, Yingyu Liang:
Provable Guarantees for Neural Networks via Gradient Feature Learning. CoRR abs/2310.12408 (2023) - 2022
- [j13]Xiuhua Hu, Huan Liu, Yuan Chen, Yan Hui, Yingyu Liang, Xi Wu:
Siamese Network Object Tracking Algorithm Combining Attention Mechanism and Correlation Filter Theory. Int. J. Pattern Recognit. Artif. Intell. 36(1): 2250003:1-2250003:19 (2022) - [j12]Yan Hui, Yingyu Liang, Xiuhua Hu, Xi Wu, Huan Liu:
Person Re-Identification Combined with Style Transfer and Pose Generation. Int. J. Pattern Recognit. Artif. Intell. 36(2): 2256003:1-2256003:18 (2022) - [j11]Xiuhua Hu, Yingyu Liang, Yan Hui, Xi Wu, Huan Liu, Xuyang Hu:
Person Re-Identification Method Based on the Construction of Graph Convolutional Network with Attribute Feature. Int. J. Pattern Recognit. Artif. Intell. 36(12): 2256019:1-2256019:20 (2022) - [j10]Mehmet Furkan Demirel, Shengchao Liu, Siddhant Garg, Zhenmei Shi, Yingyu Liang:
Attentive Walk-Aggregating Graph Neural Networks. Trans. Mach. Learn. Res. 2022 (2022) - [c52]Jiefeng Chen, Xi Wu, Yang Guo, Yingyu Liang, Somesh Jha:
Towards Evaluating the Robustness of Neural Networks Learned by Transduction. ICLR 2022 - [c51]Zhenmei Shi, Junyi Wei, Yingyu Liang:
A Theoretical Analysis on Feature Learning in Neural Networks: Emergence from Inputs and Advantage over Fixed Features. ICLR 2022 - [c50]Zhenmei Shi, Fuhao Shi, Wei-Sheng Lai, Chia-Kai Liang, Yingyu Liang:
Deep Online Fused Video Stabilization. WACV 2022: 865-873 - [i50]Xiaomin Zhang, Xucheng Zhang, Po-Ling Loh, Yingyu Liang:
On the identifiability of mixtures of ranking models. CoRR abs/2201.13132 (2022) - [i49]Zhenmei Shi, Junyi Wei, Yingyu Liang:
A Theoretical Analysis on Feature Learning in Neural Networks: Emergence from Inputs and Advantage over Fixed Features. CoRR abs/2206.01717 (2022) - 2021
- [j9]Xiuhua Hu, Yuan Chen, Yan Hui, Yingyu Liang, Guiping Li, Changyuan Wang:
Multi-Scale Anti-Occlusion Correlation Filters Object Tracking Method Based on Complementary Features. Int. J. Pattern Recognit. Artif. Intell. 35(2): 2155002:1-2155002:19 (2021) - [j8]Yingyu Liang, Wulin Li, Wenting Zha:
Adaptive Mho Characteristic-Based Distance Protection for Lines Emanating From Photovoltaic Power Plants Under Unbalanced Faults. IEEE Syst. J. 15(3): 3506-3516 (2021) - [c49]Zhongkai Sun, Prathusha Kameswara Sarma, Yingyu Liang, William A. Sethares:
A New View of Multi-modal Language Analysis: Audio and Video Features as Text "Styles". EACL 2021: 1956-1965 - [c48]Jiefeng Chen, Frederick Liu, Besim Avci, Xi Wu, Yingyu Liang, Somesh Jha:
Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles. NeurIPS 2021: 14980-14992 - [c47]Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang, Somesh Jha:
ATOM: Robustifying Out-of-Distribution Detection Using Outlier Mining. ECML/PKDD (3) 2021: 430-445 - [i48]Zhenmei Shi, Fuhao Shi, Wei-Sheng Lai, Chia-Kai Liang, Yingyu Liang:
Deep Online Fused Video Stabilization. CoRR abs/2102.01279 (2021) - [i47]Jiefeng Chen, Yang Guo, Xi Wu, Tianqi Li, Qicheng Lao, Yingyu Liang, Somesh Jha:
Towards Adversarial Robustness via Transductive Learning. CoRR abs/2106.08387 (2021) - [i46]Jiefeng Chen, Frederick Liu, Besim Avci, Xi Wu, Yingyu Liang, Somesh Jha:
Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles. CoRR abs/2106.15728 (2021) - [i45]Mehmet Furkan Demirel, Shengchao Liu, Siddhant Garg, Yingyu Liang:
An Analysis of Attentive Walk-Aggregating Graph Neural Networks. CoRR abs/2110.02667 (2021) - [i44]Jiefeng Chen, Xi Wu, Yang Guo, Yingyu Liang, Somesh Jha:
Towards Evaluating the Robustness of Neural Networks Learned by Transduction. CoRR abs/2110.14735 (2021) - 2020
- [c46]Zhongkai Sun, Prathusha Kameswara Sarma, William A. Sethares, Yingyu Liang:
Learning Relationships between Text, Audio, and Video via Deep Canonical Correlation for Multimodal Language Analysis. AAAI 2020: 8992-8999 - [c45]Yingyu Liang, Zhao Song, Mengdi Wang, Lin Yang, Xin Yang:
Sketching Transformed Matrices with Applications to Natural Language Processing. AISTATS 2020: 467-481 - [c44]Hui Yuan, Yingyu Liang:
Learning Entangled Single-Sample Distributions via Iterative Trimming. AISTATS 2020: 2666-2676 - [c43]Siddhant Garg, Adarsh Kumar, Vibhor Goel, Yingyu Liang:
Can Adversarial Weight Perturbations Inject Neural Backdoors. CIKM 2020: 2029-2032 - [c42]Yingyu Liang, Hui Yuan:
Learning Entangled Single-Sample Gaussians in the Subset-of-Signals Model. COLT 2020: 2712-2737 - [c41]Jinman Zhao, Shawn Zhong, Xiaomin Zhang, Yingyu Liang:
PBoS: Probabilistic Bag-of-Subwords for Generalizing Word Embedding. EMNLP (Findings) 2020: 596-611 - [c40]Fangzhou Mu, Yingyu Liang, Yin Li:
Gradients as Features for Deep Representation Learning. ICLR 2020 - [c39]Siddhant Garg, Rohit Kumar Sharma, Yingyu Liang:
Beyond Fine-tuning: Few-Sample Sentence Embedding Transfer. AACL/IJCNLP 2020: 460-469 - [c38]Siddhant Garg, Yingyu Liang:
Functional Regularization for Representation Learning: A Unified Theoretical Perspective. NeurIPS 2020 - [i43]Yingyu Liang, Zhao Song, Mengdi Wang, Lin F. Yang, Xin Yang:
Sketching Transformed Matrices with Applications to Natural Language Processing. CoRR abs/2002.09812 (2020) - [i42]Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang, Somesh Jha:
Robust Out-of-distribution Detection in Neural Networks. CoRR abs/2003.09711 (2020) - [i41]Siddhant Garg, Rohit Kumar Sharma, Yingyu Liang:
SimpleTran: Transferring Pre-Trained Sentence Embeddings for Low Resource Text Classification. CoRR abs/2004.05119 (2020) - [i40]Fangzhou Mu, Yingyu Liang, Yin Li:
Gradients as Features for Deep Representation Learning. CoRR abs/2004.05529 (2020) - [i39]Hui Yuan, Yingyu Liang:
Learning Entangled Single-Sample Distributions via Iterative Trimming. CoRR abs/2004.09563 (2020) - [i38]Xi Wu, Yang Guo, Jiefeng Chen, Yingyu Liang, Somesh Jha, Prasad Chalasani:
Representation Bayesian Risk Decompositions and Multi-Source Domain Adaptation. CoRR abs/2004.10390 (2020) - [i37]Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang, Somesh Jha:
Robust Out-of-distribution Detection via Informative Outlier Mining. CoRR abs/2006.15207 (2020) - [i36]Yingyu Liang, Hui Yuan:
Learning Entangled Single-Sample Gaussians in the Subset-of-Signals Model. CoRR abs/2007.05557 (2020) - [i35]Siddhant Garg, Adarsh Kumar, Vibhor Goel, Yingyu Liang:
Can Adversarial Weight Perturbations Inject Neural Backdoors? CoRR abs/2008.01761 (2020) - [i34]Siddhant Garg, Yingyu Liang:
Functional Regularization for Representation Learning: A Unified Theoretical Perspective. CoRR abs/2008.02447 (2020) - [i33]Jinman Zhao, Shawn Zhong, Xiaomin Zhang, Yingyu Liang:
PBoS: Probabilistic Bag-of-Subwords for Generalizing Word Embedding. CoRR abs/2010.10813 (2020)
2010 – 2019
- 2019
- [j7]Maria-Florina Balcan, Yingyu Liang, Zhao Song, David P. Woodruff, Hongyang Zhang:
Non-Convex Matrix Completion and Related Problems via Strong Duality. J. Mach. Learn. Res. 20: 102:1-102:56 (2019) - [c37]Shengchao Liu, Yingyu Liang, Anthony Gitter:
Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning. AAAI 2019: 9977-9978 - [c36]Hongyang Zhang, Vatsal Sharan, Moses Charikar, Yingyu Liang:
Recovery Guarantees For Quadratic Tensors With Sparse Observations. AISTATS 2019: 3322-3332 - [c35]Prathusha Kameswara Sarma, Yingyu Liang, William A. Sethares:
Shallow Domain Adaptive Embeddings for Sentiment Analysis. EMNLP/IJCNLP (1) 2019: 5548-5557 - [c34]Jiefeng Chen, Xi Wu, Vaibhav Rastogi, Yingyu Liang, Somesh Jha:
Towards Understanding Limitations of Pixel Discretization Against Adversarial Attacks. EuroS&P 2019: 480-495 - [c33]Zeyuan Allen-Zhu, Yuanzhi Li, Yingyu Liang:
Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers. NeurIPS 2019: 6155-6166 - [c32]Shengchao Liu, Mehmet Furkan Demirel, Yingyu Liang:
N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules. NeurIPS 2019: 8464-8476 - [c31]Jiefeng Chen, Xi Wu, Vaibhav Rastogi, Yingyu Liang, Somesh Jha:
Robust Attribution Regularization. NeurIPS 2019: 14300-14310 - [i32]Jiefeng Chen, Xi Wu, Vaibhav Rastogi, Yingyu Liang, Somesh Jha:
Robust Attribution Regularization. CoRR abs/1905.09957 (2019) - [i31]Prathusha Kameswara Sarma, Yingyu Liang, William A. Sethares:
Shallow Domain Adaptive Embeddings for Sentiment Analysis. CoRR abs/1908.06082 (2019) - [i30]Zhongkai Sun, Prathusha Kameswara Sarma, William A. Sethares, Yingyu Liang:
Learning Relationships between Text, Audio, and Video via Deep Canonical Correlation for Multimodal Language Analysis. CoRR abs/1911.05544 (2019) - 2018
- [j6]Kiran Vodrahalli, Po-Hsuan Chen, Yingyu Liang, Christopher Baldassano, Janice Chen, Esther Yong, Christopher J. Honey, Uri Hasson, Peter J. Ramadge, Kenneth A. Norman, Sanjeev Arora:
Mapping between fMRI responses to movies and their natural language annotations. NeuroImage 180(Part): 223-231 (2018) - [j5]Sanjeev Arora, Yuanzhi Li, Yingyu Liang, Tengyu Ma, Andrej Risteski:
Linear Algebraic Structure of Word Senses, with Applications to Polysemy. Trans. Assoc. Comput. Linguistics 6: 483-495 (2018) - [c30]Mikhail Khodak, Nikunj Saunshi, Yingyu Liang, Tengyu Ma, Brandon Stewart, Sanjeev Arora:
A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors. ACL (1) 2018: 12-22 - [c29]Prathusha Kameswara Sarma, Yingyu Liang, Bill Sethares:
Domain Adapted Word Embeddings for Improved Sentiment Classification. ACL (2) 2018: 37-42 - [c28]Prathusha Kameswara Sarma, Yingyu Liang, Bill Sethares:
Domain Adapted Word Embeddings for Improved Sentiment Classification. DeepLo@ACL 2018: 51-59 - [c27]Yuanzhi Li, Yingyu Liang:
Learning Mixtures of Linear Regressions with Nearly Optimal Complexity. COLT 2018: 1125-1144 - [c26]Jinman Zhao, Sidharth Mudgal, Yingyu Liang:
Generalizing Word Embeddings using Bag of Subwords. EMNLP 2018: 601-606 - [c25]Maria-Florina Balcan, Yingyu Liang, David P. Woodruff, Hongyang Zhang:
Matrix Completion and Related Problems via Strong Duality. ITCS 2018: 5:1-5:22 - [c24]Yuanzhi Li, Yingyu Liang:
Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data. NeurIPS 2018: 8168-8177 - [i29]Yuanzhi Li, Yingyu Liang:
Learning Mixtures of Linear Regressions with Nearly Optimal Complexity. CoRR abs/1802.07895 (2018) - [i28]Prathusha Kameswara Sarma, Yingyu Liang, William A. Sethares:
Domain Adapted Word Embeddings for Improved Sentiment Classification. CoRR abs/1805.04576 (2018) - [i27]Mikhail Khodak, Nikunj Saunshi, Yingyu Liang, Tengyu Ma, Brandon Stewart, Sanjeev Arora:
A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors. CoRR abs/1805.05388 (2018) - [i26]Jiefeng Chen, Xi Wu, Yingyu Liang, Somesh Jha:
Improving Adversarial Robustness by Data-Specific Discretization. CoRR abs/1805.07816 (2018) - [i25]Shengchao Liu, Thevaa Chandereng, Yingyu Liang:
N-Gram Graph, A Novel Molecule Representation. CoRR abs/1806.09206 (2018) - [i24]Yuanzhi Li, Yingyu Liang:
Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data. CoRR abs/1808.01204 (2018) - [i23]Jinman Zhao, Sidharth Mudgal, Yingyu Liang:
Generalizing Word Embeddings using Bag of Subwords. CoRR abs/1809.04259 (2018) - [i22]Hongyang Zhang, Vatsal Sharan, Moses Charikar, Yingyu Liang:
Recovery Guarantees for Quadratic Tensors with Limited Observations. CoRR abs/1811.00148 (2018) - [i21]Zeyuan Allen-Zhu, Yuanzhi Li, Yingyu Liang:
Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers. CoRR abs/1811.04918 (2018) - 2017
- [j4]Nan Du, Yingyu Liang, Maria-Florina Balcan, Manuel Gomez-Rodriguez, Hongyuan Zha, Le Song:
Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks. J. Mach. Learn. Res. 18: 2:1-2:45 (2017) - [c23]Bo Xie, Yingyu Liang, Le Song:
Diverse Neural Network Learns True Target Functions. AISTATS 2017: 1216-1224 - [c22]Sanjeev Arora, Yingyu Liang, Tengyu Ma:
A Simple but Tough-to-Beat Baseline for Sentence Embeddings. ICLR (Poster) 2017 - [c21]Sanjeev Arora, Rong Ge, Yingyu Liang, Tengyu Ma, Yi Zhang:
Generalization and Equilibrium in Generative Adversarial Nets (GANs). ICML 2017: 224-232 - [c20]Maria-Florina Balcan, Travis Dick, Yingyu Liang, Wenlong Mou, Hongyang Zhang:
Differentially Private Clustering in High-Dimensional Euclidean Spaces. ICML 2017: 322-331 - [c19]Yuanzhi Li, Yingyu Liang:
Provable Alternating Gradient Descent for Non-negative Matrix Factorization with Strong Correlations. ICML 2017: 2062-2070 - [i20]Sanjeev Arora, Rong Ge, Yingyu Liang, Tengyu Ma, Yi Zhang:
Generalization and Equilibrium in Generative Adversarial Nets (GANs). CoRR abs/1703.00573 (2017) - [i19]Maria-Florina Balcan, Yingyu Liang, David P. Woodruff, Hongyang Zhang:
Optimal Sample Complexity for Matrix Completion and Related Problems via 𝓁s2-Regularization. CoRR abs/1704.08683 (2017) - [i18]Yuanzhi Li, Yingyu Liang:
Provable Alternating Gradient Descent for Non-negative Matrix Factorization with Strong Correlations. CoRR abs/1706.04097 (2017) - 2016
- [j3]Maria-Florina Balcan, Yingyu Liang:
Clustering under Perturbation Resilience. SIAM J. Comput. 45(1): 102-155 (2016) - [j2]Sanjeev Arora, Yuanzhi Li, Yingyu Liang, Tengyu Ma, Andrej Risteski:
A Latent Variable Model Approach to PMI-based Word Embeddings. Trans. Assoc. Comput. Linguistics 4: 385-399 (2016) - [c18]Frank-Michael Schleif, Peter Tiño, Yingyu Liang:
Learning in indefinite proximity spaces - recent trends. ESANN 2016 - [c17]Yuanzhi Li, Yingyu Liang, Andrej Risteski:
Recovery guarantee of weighted low-rank approximation via alternating minimization. ICML 2016: 2358-2367 - [c16]Maria-Florina Balcan, Yingyu Liang, Le Song, David P. Woodruff, Bo Xie:
Communication Efficient Distributed Kernel Principal Component Analysis. KDD 2016: 725-734 - [c15]Yuanzhi Li, Yingyu Liang, Andrej Risteski:
Recovery Guarantee of Non-negative Matrix Factorization via Alternating Updates. NIPS 2016: 4988-4996 - [i17]Sanjeev Arora, Yuanzhi Li, Yingyu Liang, Tengyu Ma, Andrej Risteski:
Linear Algebraic Structure of Word Senses, with Applications to Polysemy. CoRR abs/1601.03764 (2016) - [i16]Yuanzhi Li, Yingyu Liang, Andrej Risteski:
Recovery guarantee of weighted low-rank approximation via alternating minimization. CoRR abs/1602.02262 (2016) - [i15]Kiran Vodrahalli, Po-Hsuan Chen, Yingyu Liang, Janice Chen, Esther Yong, Christopher J. Honey, Peter J. Ramadge, Kenneth A. Norman, Sanjeev Arora:
Mapping Between Natural Movie fMRI Responses and Word-Sequence Representations. CoRR abs/1610.03914 (2016) - [i14]Bo Xie, Yingyu Liang, Le Song:
Diversity Leads to Generalization in Neural Networks. CoRR abs/1611.03131 (2016) - [i13]Yuanzhi Li, Yingyu Liang, Andrej Risteski:
Recovery Guarantee of Non-negative Matrix Factorization via Alternating Updates. CoRR abs/1611.03819 (2016) - [i12]Nan Du, Yingyu Liang, Maria-Florina Balcan, Manuel Gomez-Rodriguez, Hongyuan Zha, Le Song:
Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks. CoRR abs/1612.02712 (2016) - 2015
- [c14]Bo Xie, Yingyu Liang, Le Song:
Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients. NIPS 2015: 2341-2349 - [c13]Aurélien Bellet, Yingyu Liang, Alireza Bagheri Garakani, Maria-Florina Balcan, Fei Sha:
A Distributed Frank-Wolfe Algorithm for Communication-Efficient Sparse Learning. SDM 2015: 478-486 - [i11]Sanjeev Arora, Yuanzhi Li, Yingyu Liang, Tengyu Ma, Andrej Risteski:
Random Walks on Context Spaces: Towards an Explanation of the Mysteries of Semantic Word Embeddings. CoRR abs/1502.03520 (2015) - [i10]Maria-Florina Balcan, Yingyu Liang, Le Song, David P. Woodruff, Bo Xie:
Distributed Kernel Principal Component Analysis. CoRR abs/1503.06858 (2015) - [i9]Bo Xie, Yingyu Liang, Le Song:
Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients. CoRR abs/1504.03655 (2015) - [i8]