NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (21)

stat.ML2018

On Quadratic Convergence of DC Proximal Newton Algorithm for Nonconvex Sparse Learning in High Dimensions

Xingguo Li, Lin F. Yang, Jason Ge +3

stat.ML2017

Misspecified Nonconvex Statistical Optimization for Phase Retrieval

Zhuoran Yang, Lin F. Yang, Ethan X. Fang +3

astro-ph.CO2015

Warmth Elevating the Depths: Shallower Voids with Warm Dark Matter

Lin F. Yang, Mark C. Neyrinck, Miguel A. Aragon-Calvo +2

cs.DS2019

The One-Way Communication Complexity of Dynamic Time Warping Distance

Vladimir Braverman, Moses Charikar, William Kuszmaul +2

cs.LG2019

Learning to Control in Metric Space with Optimal Regret

Lin F. Yang, Chengzhuo Ni, Mengdi Wang

cs.DS2016

Streaming Space Complexity of Nearly All Functions of One Variable on Frequency Vectors

Vladimir Braverman, Stephen R. Chestnut, David P. Woodruff +1

cs.DS2018

Matrix Norms in Data Streams: Faster, Multi-Pass and Row-Order

Vladimir Braverman, Stephen R. Chestnut, Robert Krauthgamer +3

cs.CG2017

Approximate Convex Hull of Data Streams

Avrim Blum, Vladimir Braverman, Ananya Kumar +2

cs.DS2017

Streaming Symmetric Norms via Measure Concentration

Jaroslaw Blasiok, Vladimir Braverman, Stephen R. Chestnut +2

cs.LG2019

Towards a Theoretical Understanding of Hashing-Based Neural Nets

Yibo Lin, Zhao Song, Lin F. Yang

cs.LG2018

The Physical Systems Behind Optimization Algorithms

Lin F. Yang, R. Arora, V. Braverman +1

cs.DS2018

Revisiting Frequency Moment Estimation in Random Order Streams

Vladimir Braverman, Emanuele Viola, David Woodruff +1

astro-ph.IM2018

Scalable Streaming Tools for Analyzing $N$-body Simulations: Finding Halos and Investigating Excursion Sets in One Pass

Nikita Ivkin, Zaoxing Liu, Lin F. Yang +6

astro-ph.CO2014

The Dark Matter Contribution to Galactic Diffuse Gamma Ray Emission

Lin F. Yang, Joseph Silk, Alexander S. Szalay +3

cs.LG2019

Sample-Optimal Parametric Q-Learning Using Linearly Additive Features

Lin F. Yang, Mengdi Wang

cs.LG2019

Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound

Lin F. Yang, Mengdi Wang

cs.DS2017

Clustering High Dimensional Dynamic Data Streams

Vladimir Braverman, Gereon Frahling, Harry Lang +2

math.OC2019

Near-Optimal Time and Sample Complexities for Solving Discounted Markov Decision Process with a Generative Model

Aaron Sidford, Mengdi Wang, Xian Wu +2

cs.DS2019

Nearly Optimal Dynamic $k$-Means Clustering for High-Dimensional Data

Wei Hu, Zhao Song, Lin F. Yang +1

cs.LG2017

Online Factorization and Partition of Complex Networks From Random Walks

Lin F. Yang, Vladimir Braverman, Tuo Zhao +1

cs.LG2019

Feature-Based Q-Learning for Two-Player Stochastic Games

Zeyu Jia, Lin F. Yang, Mengdi Wang