Harry Lang

27 papers A* 6C 3Journal 13Unranked 5
YearRankTypeTitle / Venue / Authors
2023 J jnl
Clustering using Approximate Nearest Neighbour Oracles.
Trans. Mach. Learn. Res.
Enayat Ullah, Harry Lang, Raman Arora, Vladimir Braverman
2023 J jnl
Least-Mean-Squares Coresets for Infinite Streams.
IEEE Trans. Knowl. Data Eng.
Vladimir Braverman, Dan Feldman, Harry Lang, Daniela Rus, Adiel Statman
2021 A* conf
Deep Learning meets Projective Clustering.
ICLR
Alaa Maalouf, Harry Lang, Daniela Rus, Dan Feldman
2021 C conf
Efficient Coreset Constructions via Sensitivity Sampling.
ACML
Vladimir Braverman, Dan Feldman, Harry Lang, Adiel Statman, Samson Zhou
2021 J jnl
Metric k-median clustering in insertion-only streams.
Discret. Appl. Math.
Vladimir Braverman, Harry Lang, Keith D. Levin, Yevgeniy Rudoy
2020 J jnl
Deep Learning Meets Projective Clustering.
CoRR
Alaa Maalouf, Harry Lang, Daniela Rus, Dan Feldman
2020 A* conf
Provable Filter Pruning for Efficient Neural Networks.
ICLR
Lucas Liebenwein, Cenk Baykal, Harry Lang, Dan Feldman, Daniela Rus
2020 J jnl
Sparse Coresets for SVD on Infinite Streams.
CoRR
Vladimir Braverman, Dan Feldman, Harry Lang, Daniela Rus, Adiel Statman
2019 C conf
Deterministic Coresets for Stochastic Matrices with Applications to Scalable Sparse PageRank.
TAMC
Harry Lang, Cenk Baykal, Najib Abu Samra, Tony Tannous, Dan Feldman, Daniela Rus
2019 — conf
Improved Algorithms for Time Decay Streams.
APPROX-RANDOM
Vladimir Braverman, Harry Lang, Enayat Ullah, Samson Zhou
2019 J jnl
Improved Algorithms for Time Decay Streams.
CoRR
Vladimir Braverman, Harry Lang, Enayat Ullah, Samson Zhou
2019 J jnl
Provable Filter Pruning for Efficient Neural Networks.
CoRR
Lucas Liebenwein, Cenk Baykal, Harry Lang, Dan Feldman, Daniela Rus
2019 — conf
Streaming Coreset Constructions for M-Estimators.
APPROX-RANDOM
Vladimir Braverman, Dan Feldman, Harry Lang, Daniela Rus
2018 A* conf
Approximate Convex Hull of Data Streams.
ICALP
Avrim Blum, Vladimir Braverman, Ananya Kumar, Harry Lang, Lin F. Yang
2018 — conf
Nearly Optimal Distinct Elements and Heavy Hitters on Sliding Windows.
APPROX-RANDOM
Vladimir Braverman, Elena Grigorescu, Harry Lang, David P. Woodruff, Samson Zhou
2018 J jnl
Nearly Optimal Distinct Elements and Heavy Hitters on Sliding Windows.
CoRR
Vladimir Braverman, Elena Grigorescu, Harry Lang, David P. Woodruff, Samson Zhou
2018 A* conf
Online Facility Location against a
SODA
Harry Lang
2017 — conf
Accurate Low-Space Approximation of Metric k-Median for Insertion-Only Streams.
CALDAM
Vladimir Braverman, Harry Lang, Keith D. Levin
2017 J jnl
Approximate Convex Hull of Data Streams.
CoRR
Avrim Blum, Vladimir Braverman, Ananya Kumar, Harry Lang, Lin F. Yang
2017 A* conf
Clustering High Dimensional Dynamic Data Streams.
ICML
Vladimir Braverman, Gereon Frahling, Harry Lang, Christian Sohler, Lin F. Yang
2017 J jnl
Clustering High Dimensional Dynamic Data Streams.
CoRR
Vladimir Braverman, Gereon Frahling, Harry Lang, Christian Sohler, Lin F. Yang
2017 J jnl
Online Facility Location on Semi-Random Streams.
CoRR
Harry Lang
2016 A* conf
Clustering Problems on Sliding Windows.
SODA
Vladimir Braverman, Harry Lang, Keith D. Levin, Morteza Monemizadeh
2016 J jnl
New Frameworks for Offline and Streaming Coreset Constructions.
CoRR
Vladimir Braverman, Dan Feldman, Harry Lang
2015 J jnl
A Unified Approach for Clustering Problems on Sliding Windows.
CoRR
Vladimir Braverman, Harry Lang, Keith D. Levin, Morteza Monemizadeh
2015 — conf
Clustering on Sliding Windows in Polylogarithmic Space.
FSTTCS
Vladimir Braverman, Harry Lang, Keith D. Levin, Morteza Monemizadeh
2002 C conf
Classroom of the Sea: Problem-Based Learning for the Deaf.
ICCE
Scott W. Brown, Ivar Babb, Paula R. Johnson, Peter M. Scheifele, Harry Lang, Dongping Zheng, Denise Monte, Mary LaPorta