Ping Li

According to our database1, Ping Li authored at least 181 papers between 2005 and 2020.

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2020
Efficient Online Multi-Task Learning via Adaptive Kernel Selection.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Improved Touch-screen Inputting Using Sequence-level Prediction Generation.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Estimate the Implicit Likelihoods of GANs with Application to Anomaly Detection.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Extracting Knowledge from Web Text with Monte Carlo Tree Search.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Fast Item Ranking under Neural Network based Measures.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Video Recommendation with Multi-gate Mixture of Experts Soft Actor Critic.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

An Advantage Actor-Critic Algorithm with Confidence Exploration for Open Information Extraction.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems.
Proceedings of Machine Learning and Systems 2020, 2020

SONG: Approximate Nearest Neighbor Search on GPU.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Nearly Non-Expansive Bounds for Mahalanobis Hard Thresholding.
Proceedings of the Conference on Learning Theory, 2020

Learning Interpretable Relationships between Entities, Relations and Concepts via Bayesian Structure Learning on Open Domain Facts.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Cross-Lingual Unsupervised Sentiment Classification with Multi-View Transfer Learning.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Distributed Primal-Dual Optimization for Online Multi-Task Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

IVFS: Simple and Efficient Feature Selection for High Dimensional Topology Preservation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Outlier Detection and Data Clustering via Innovation Search.
CoRR, 2019

Graph Analysis and Graph Pooling in the Spatial Domain.
CoRR, 2019

On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond.
CoRR, 2019

A Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Data.
CoRR, 2019

Large Scale Semantic Indexing with Deep Level-wise Extreme Multi-label Learning.
Proceedings of the World Wide Web Conference, 2019

Product-Aware Helpfulness Prediction of Online Reviews.
Proceedings of the World Wide Web Conference, 2019

Knowledge Graph Embedding Based Question Answering.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

A Sparse Representation-Based Approach to Linear Regression with Partially Shuffled Labels.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Deep Skip-Gram Networks for Text Classification.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

TMSA: A Mutual Learning Model for Topic Discovery and Word Embedding.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Reading Customer Reviews to Answer Product-related Questions.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Möbius Transformation for Fast Inner Product Search on Graph.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Towards Practical Alternating Least-Squares for CCA.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Outlier Detection and Robust PCA Using a Convex Measure of Innovation.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Re-randomized Densification for One Permutation Hashing and Bin-wise Consistent Weighted Sampling.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Generalization Error Analysis of Quantized Compressive Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Random Projections with Asymmetric Quantization.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Integration of Knowledge Graph Embedding Into Topic Modeling with Hierarchical Dirichlet Process.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Hierarchical Multi-Task Word Embedding Learning for Synonym Prediction.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

MOBIUS: Towards the Next Generation of Query-Ad Matching in Baidu's Sponsored Search.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Permutation Recovery from Multiple Measurement Vectors in Unlabeled Sensing.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Coreference Aware Representation Learning for Neural Named Entity Recognition.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

On Random Deep Weight-Tied Autoencoders: Exact Asymptotic Analysis, Phase Transitions, and Implications to Training.
Proceedings of the 7th International Conference on Learning Representations, 2019

On Efficient Retrieval of Top Similarity Vectors.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Reinforced Product Metadata Selection for Helpfulness Assessment of Customer Reviews.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

AIBox: CTR Prediction Model Training on a Single Node.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

MONOPOLY: Learning to Price Public Facilities for Revaluing Private Properties with Large-Scale Urban Data.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Large Margin Prototypical Network for Few-shot Relation Classification with Fine-grained Features.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Graph to Graph: a Topology Aware Approach for Graph Structures Learning and Generation.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Robust Matrix Completion from Quantized Observations.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

End-to-end Deep Reinforcement Learning Based Coreference Resolution.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Sign-Full Random Projections.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Multi-Agent Discussion Mechanism for Natural Language Generation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
On the Trade-Off Between Bit Depth and Number of Samples for a Basic Approach to Structured Signal Recovery From b-Bit Quantized Linear Measurements.
IEEE Trans. Inf. Theory, 2018

Logician: A Unified End-to-End Neural Approach for Open-Domain Information Extraction.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Collaborative Filtering via Additive Ordinal Regression.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

R 2 SDH: Robust Rotated Supervised Discrete Hashing.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Provable Variable Selection for Streaming Features.
Proceedings of the 35th International Conference on Machine Learning, 2018

Multi-view Feature Selection for Heterogeneous Face Recognition.
Proceedings of the IEEE International Conference on Data Mining, 2018

Logician and Orator: Learning from the Duality between Language and Knowledge in Open Domain.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

FastInput: Improving Input Efficiency on Mobile Devices.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Collaborative Multi-objective Ranking.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

A Globalization-Semantic Matching Neural Network for Paraphrase Identification.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Representation Learning for Question Classification via Topic Sparse Autoencoder and Entity Embedding.
Proceedings of the IEEE International Conference on Big Data, 2018

Multi-Task Neural Learning Architecture for End-to-End Identification of Helpful Reviews.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017
Recovery of Sparse Signals Using Multiple Orthogonal Least Squares.
IEEE Trans. Signal Process., 2017

Object proposal with kernelized partial ranking.
Pattern Recognit., 2017

Blessing of Dimensionality: Recovering Mixture Data via Dictionary Pursuit.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Online optimization for max-norm regularization.
Mach. Learn., 2017

Gradient Hard Thresholding Pursuit.
J. Mach. Learn. Res., 2017

A Tight Bound of Hard Thresholding.
J. Mach. Learn. Res., 2017

Tunable GMM Kernels.
CoRR, 2017

Decoupled Collaborative Ranking.
Proceedings of the 26th International Conference on World Wide Web, 2017

Theory of the GMM Kernel.
Proceedings of the 26th International Conference on World Wide Web, 2017

Online Matrix Completion for Signed Link Prediction.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Partial Hard Thresholding: Towards A Principled Analysis of Support Recovery.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Simple strategies for recovering inner products from coarsely quantized random projections.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Linearized GMM Kernels and Normalized Random Fourier Features.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

On the Iteration Complexity of Support Recovery via Hard Thresholding Pursuit.
Proceedings of the 34th International Conference on Machine Learning, 2017

Online city-scale hyper-local event detection via analysis of social media and human mobility.
Proceedings of the 2017 IEEE International Conference on Big Data, BigData 2017, 2017

Binary and Multi-Bit Coding for Stable Random Projections.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Recovery of Sparse Signals via Generalized Orthogonal Matching Pursuit: A New Analysis.
IEEE Trans. Signal Process., 2016

Low-Rank Matrix Completion in the Presence of High Coherence.
IEEE Trans. Signal Process., 2016

Linear signal recovery from b-bit-quantized linear measurements: precise analysis of the trade-off between bit depth and number of measurements.
CoRR, 2016

Methods for Sparse and Low-Rank Recovery under Simplex Constraints.
CoRR, 2016

Generalized Intersection Kernel.
CoRR, 2016

Nystrom Method for Approximating the GMM Kernel.
CoRR, 2016

Generalized Min-Max Kernel and Generalized Consistent Weighted Sampling.
CoRR, 2016

A Comparison Study of Nonlinear Kernels.
CoRR, 2016

2-Bit Random Projections, NonLinear Estimators, and Approximate Near Neighbor Search.
CoRR, 2016

Learning Additive Exponential Family Graphical Models via \ell_{2, 1}-norm Regularized M-Estimation.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Exact Recovery of Hard Thresholding Pursuit.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Quantized Random Projections and Non-Linear Estimation of Cosine Similarity.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Online Low-Rank Subspace Clustering by Basis Dictionary Pursuit.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Improved and Scalable Bradley-Terry Model for Collaborative Ranking.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Learning Structured Low-Rank Representation via Matrix Factorization.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

One Scan 1-Bit Compressed Sensing.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
Sign Stable Random Projections for Large-Scale Learning.
CoRR, 2015

Min-Max Kernels.
CoRR, 2015

Asymmetric Minwise Hashing for Indexing Binary Inner Products and Set Containment.
Proceedings of the 24th International Conference on World Wide Web, 2015

Improved Asymmetric Locality Sensitive Hashing (ALSH) for Maximum Inner Product Search (MIPS).
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Regularization-Free Estimation in Trace Regression with Symmetric Positive Semidefinite Matrices.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

b-bit Marginal Regression.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

0-Bit Consistent Weighted Sampling.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Adaptive Stochastic Alternating Direction Method of Multipliers.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Compressed Sensing with Very Sparse Gaussian Random Projections.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014
Asymmetric Minwise Hashing.
CoRR, 2014

An Improved Scheme for Asymmetric LSH.
CoRR, 2014

Graph Kernels via Functional Embedding.
CoRR, 2014

Advancing Matrix Completion by Modeling Extra Structures beyond Low-Rankness.
CoRR, 2014

Sparse Recovery with Very Sparse Compressed Counting.
CoRR, 2014

Coding for Random Projections and Approximate Near Neighbor Search.
CoRR, 2014

Improved Densification of One Permutation Hashing.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

CoRE Kernels.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS).
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Recovery of Coherent Data via Low-Rank Dictionary Pursuit.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization.
Proceedings of the 31th International Conference on Machine Learning, 2014

Densifying One Permutation Hashing via Rotation for Fast Near Neighbor Search.
Proceedings of the 31th International Conference on Machine Learning, 2014

Coding for Random Projections.
Proceedings of the 31th International Conference on Machine Learning, 2014

Sparse Additive Subspace Clustering.
Proceedings of the Computer Vision - ECCV 2014, 2014

Compressed Counting Meets Compressed Sensing.
Proceedings of The 27th Conference on Learning Theory, 2014

A new space for comparing graphs.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

In Defense of Minhash over Simhash.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013
Sign Stable Projections, Sign Cauchy Projections and Chi-Square Kernels.
CoRR, 2013

Beyond Pairwise: Provably Fast Algorithms for Approximate <i>k</i>-Way Similarity Search.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Sign Cauchy Projections and Chi-Square Kernel.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Exact sparse recovery with L0 projections.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

b-bit minwise hashing in practice.
Proceedings of the 5th Asia-Pacific Symposium on Internetware, 2013

2012
Improving clustering by learning a bi-stochastic data similarity matrix.
Knowl. Inf. Syst., 2012

Testing for Membership to the IFRA and the NBU Classes of Distributions.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

One Permutation Hashing for Efficient Search and Learning
CoRR, 2012

b-Bit Minwise Hashing in Practice: Large-Scale Batch and Online Learning and Using GPUs for Fast Preprocessing with Simple Hash Functions.
CoRR, 2012

Query spelling correction using multi-task learning.
Proceedings of the 21st World Wide Web Conference, 2012

GPU-based minwise hashing: GPU-based minwise hashing.
Proceedings of the 21st World Wide Web Conference, 2012

Fast Near Neighbor Search in High-Dimensional Binary Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Entropy Estimations Using Correlated Symmetric Stable Random Projections.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

One Permutation Hashing.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Fast multi-task learning for query spelling correction.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
A New Algorithm for Compressed Counting with Applications in Shannon Entropy Estimation in Dynamic Data.
Proceedings of the COLT 2011, 2011

Training Logistic Regression and SVM on 200GB Data Using b-Bit Minwise Hashing and Comparisons with Vowpal Wabbit (VW)
CoRR, 2011

Accurate Estimators for Improving Minwise Hashing and b-Bit Minwise Hashing
CoRR, 2011

b-Bit Minwise Hashing for Large-Scale Linear SVM
CoRR, 2011

Theory and applications of <i>b</i>-bit minwise hashing.
Commun. ACM, 2011

Efficient Document Clustering via Online Nonnegative Matrix Factorizations.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Hashing Algorithms for Large-Scale Learning.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

User-level sentiment analysis incorporating social networks.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

A New Multi-task Learning Method for Personalized Activity Recognition.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010
Guest editorial: special issue on learning theory.
Mach. Learn., 2010

Fast ABC-Boost for Multi-Class Classification
CoRR, 2010

On Practical Algorithms for Entropy Estimation and the Improved Sample Complexity of Compressed Counting
CoRR, 2010

An Empirical Evaluation of Four Algorithms for Multi-Class Classification: Mart, ABC-Mart, Robust LogitBoost, and ABC-LogitBoost
CoRR, 2010

b-Bit minwise hashing.
Proceedings of the 19th International Conference on World Wide Web, 2010

Approximating Higher-Order Distances Using Random Projections.
Proceedings of the UAI 2010, 2010

Robust LogitBoost and Adaptive Base Class (ABC) LogitBoost.
Proceedings of the UAI 2010, 2010

Efficient Nonnegative Matrix Factorization with Random Projections.
Proceedings of the SIAM International Conference on Data Mining, 2010

b-Bit Minwise Hashing for Estimating Three-Way Similarities.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Learning a Bi-Stochastic Data Similarity Matrix.
Proceedings of the ICDM 2010, 2010

Compressed Nonnegative Sparse Coding.
Proceedings of the ICDM 2010, 2010

2009
Stable Distribution.
Proceedings of the Encyclopedia of Database Systems, 2009

Estimating Entropy of Data Streams Using Compressed Counting
CoRR, 2009

On the Sample Complexity of Compressed Counting
CoRR, 2009

ABC-LogitBoost for Multi-class Classification
CoRR, 2009

Improving Compressed Counting.
Proceedings of the UAI 2009, 2009

Compressed counting.
Proceedings of the Twentieth Annual ACM-SIAM Symposium on Discrete Algorithms, 2009

ABC-boost: adaptive base class boost for multi-class classification.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008
Adaptive Base Class Boost for Multi-class Classification
CoRR, 2008

A Very Efficient Scheme for Estimating Entropy of Data Streams Using Compressed Counting
CoRR, 2008

The Optimal Quantile Estimator for Compressed Counting
CoRR, 2008

On Approximating the Lp Distances for p>2
CoRR, 2008

Computationally Efficient Estimators for Dimension Reductions Using Stable Random Projections
CoRR, 2008

On Approximating Frequency Moments of Data Streams with Skewed Projections
CoRR, 2008

Estimators and tail bounds for dimension reduction in <i>l<sub>α</sub></i> (0 < α ≤ 2) using stable random projections.
Proceedings of the Nineteenth Annual ACM-SIAM Symposium on Discrete Algorithms, 2008

One sketch for all: Theory and Application of Conditional Random Sampling.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Computationally Efficient Estimators for Dimension Reductions UsingStable Random Projections.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007
Nonlinear Estimators and Tail Bounds for Dimension Reduction in <i>l</i><sub>1</sub> Using Cauchy Random Projections.
J. Mach. Learn. Res., 2007

A Sketch Algorithm for Estimating Two-Way and Multi-Way Associations.
Comput. Linguistics, 2007

A Unified Near-Optimal Estimator For Dimension Reduction in l<sub>alpha</sub>(0 < alpha <= 2) Using Stable Random Projections.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

McRank: Learning to Rank Using Multiple Classification and Gradient Boosting.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Very sparse stable random projections for dimension reduction in <i>l</i>alpha (0 <alpha<=2) norm.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

2006
On the distribution of SINR for the MMSE MIMO receiver and performance analysis.
IEEE Trans. Inf. Theory, 2006

Very Sparse Stable Random Projections, Estimators and Tail Bounds for Stable Random Projections
CoRR, 2006

Nonlinear Estimators and Tail Bounds for Dimension Reduction in $l_1$ Using Cauchy Random Projections
CoRR, 2006

Conditional Random Sampling: A Sketch-based Sampling Technique for Sparse Data.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Very sparse random projections.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Improving Random Projections Using Marginal Information.
Proceedings of the Learning Theory, 19th Annual Conference on Learning Theory, 2006

2005
Using Sketches to Estimate Associations.
Proceedings of the HLT/EMNLP 2005, 2005


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