Publications (50)
Spectral Methods for Learning Multivariate Latent Tree Structure
Animashree Anandkumar, Kamalika Chaudhuri, Daniel Hsu +3
A new Hedging algorithm and its application to inferring latent random variables
Yoav Freund, Daniel Hsu
Dimension-free tail inequalities for sums of random matrices
Daniel Hsu, Sham M. Kakade, Tong Zhang
A Spectral Algorithm for Learning Hidden Markov Models
Daniel Hsu, Sham M. Kakade, Tong Zhang
Non-Gaussian information from weak lensing data via deep learning
Arushi Gupta, José Manuel Zorrilla Matilla, Daniel Hsu +1
Benefits of over-parameterization with EM
Ji Xu, Daniel Hsu, Arian Maleki
Correcting the bias in least squares regression with volume-rescaled sampling
MichaÅ DereziÅski, Manfred K. Warmuth, Daniel Hsu
Learning mixtures of spherical Gaussians: moment methods and spectral decompositions
Daniel Hsu, Sham M. Kakade
Convergence Rates for Differentially Private Statistical Estimation
Kamalika Chaudhuri, Daniel Hsu
Kernel Approximation Methods for Speech Recognition
Avner May, Alireza Bagheri Garakani, Zhiyun Lu +9
Search Improves Label for Active Learning
Alina Beygelzimer, Daniel Hsu, John Langford +1
The Large Margin Mechanism for Differentially Private Maximization
Kamalika Chaudhuri, Daniel Hsu, Shuang Song
Mixing Time Estimation in Reversible Markov Chains from a Single Sample Path
Daniel Hsu, Aryeh Kontorovich, Csaba Szepesvári
Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits
Alekh Agarwal, Daniel Hsu, Satyen Kale +3
Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate
Mikhail Belkin, Daniel Hsu, Partha Mitra
Multi-period Time Series Modeling with Sparsity via Bayesian Variational Inference
Daniel Hsu
Random design analysis of ridge regression
Daniel Hsu, Sham M. Kakade, Tong Zhang
FairTest: Discovering Unwarranted Associations in Data-Driven Applications
Florian Tramèr, Vaggelis Atlidakis, Roxana Geambasu +5
Agnostic Active Learning Without Constraints
Alina Beygelzimer, Daniel Hsu, John Langford +1
Multi-Label Prediction via Compressed Sensing
Daniel Hsu, Sham M. Kakade, John Langford +1
An Online Learning-based Framework for Tracking
Kamalika Chaudhuri, Yoav Freund, Daniel Hsu
Efficient Optimal Learning for Contextual Bandits
Miroslav Dudik, Daniel Hsu, Satyen Kale +4
Weighted sampling of outer products
Daniel Hsu
A tail inequality for quadratic forms of subgaussian random vectors
Daniel Hsu, Sham M. Kakade, Tong Zhang
Tracking using explanation-based modeling
Kamalika Chaudhuri, Yoav Freund, Daniel Hsu
Time Series Compression Based on Adaptive Piecewise Recurrent Autoencoder
Daniel Hsu
A Method of Moments for Mixture Models and Hidden Markov Models
Animashree Anandkumar, Daniel Hsu, Sham M. Kakade
Certified Robustness to Adversarial Examples with Differential Privacy
Mathias Lecuyer, Vaggelis Atlidakis, Roxana Geambasu +2
Linear regression without correspondence
Daniel Hsu, Kevin Shi, Xiaorui Sun
A parameter-free hedging algorithm
Kamalika Chaudhuri, Yoav Freund, Daniel Hsu
Kernel ridge vs. principal component regression: minimax bounds and adaptability of regularization operators
Lee H. Dicker, Dean P. Foster, Daniel Hsu
Mixing time estimation in reversible Markov chains from a single sample path
Daniel Hsu, Aryeh Kontorovich, David A. Levin +2
Greedy bi-criteria approximations for $k$-medians and $k$-means
Daniel Hsu, Matus Telgarsky
Learning Sparse Low-Threshold Linear Classifiers
Sivan Sabato, Shai Shalev-Shwartz, Nathan Srebro +2
A concentration theorem for projections
Sanjoy Dasgupta, Daniel Hsu, Nakul Verma
Leveraged volume sampling for linear regression
MichaÅ DereziÅski, Manfred K. Warmuth, Daniel Hsu
Global analysis of Expectation Maximization for mixtures of two Gaussians
Ji Xu, Daniel Hsu, Arian Maleki
A gradual, semi-discrete approach to generative network training via explicit Wasserstein minimization
Yucheng Chen, Matus Telgarsky, Chao Zhang +3
A Spectral Algorithm for Latent Dirichlet Allocation
Animashree Anandkumar, Dean P. Foster, Daniel Hsu +2
Modulation of superconductivity by spin canting in a hybrid antiferromagnet/superconductor oxide
Awadhesh Mani, T. Geetha Kumary, Daniel Hsu +2
Interplay between the magnetic and electric degrees-of-freedom in multiferroic Co3TeO6
Wen-Hsien Li, Chin-Wei Wang, Daniel Hsu +8
A Tensor Approach to Learning Mixed Membership Community Models
Anima Anandkumar, Rong Ge, Daniel Hsu +1
Parallel Online Learning
Daniel Hsu, Nikos Karampatziakis, John Langford +1
Parameter identification in Markov chain choice models
Arushi Gupta, Daniel Hsu
Do dark matter halos explain lensing peaks?
José Manuel Zorrilla Matilla, Zoltán Haiman, Daniel Hsu +2
Coding sets with asymmetric information
Alexandr Andoni, Javad Ghaderi, Daniel Hsu +2
Loss minimization and parameter estimation with heavy tails
Daniel Hsu, Sivan Sabato
Scalable Nonlinear Learning with Adaptive Polynomial Expansions
Alekh Agarwal, Alina Beygelzimer, Daniel Hsu +2
Identifiability and Unmixing of Latent Parse Trees
Daniel Hsu, Sham M. Kakade, Percy Liang
Learning Topic Models and Latent Bayesian Networks Under Expansion Constraints
Animashree Anandkumar, Daniel Hsu, Adel Javanmard +1