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ORCIDJonathan A. Kelner
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2020 – today
- 2024
[c37]Khashayar Gatmiry, Jonathan A. Kelner, Santosh S. Vempala:
Sampling Polytopes with Riemannian HMC: Faster Mixing via the Lewis Weights Barrier. COLT 2024: 1796-1881- [c36]Jonathan A. Kelner, Frederic Koehler, Raghu Meka, Dhruv Rohatgi:
Lasso with Latents: Efficient Estimation, Covariate Rescaling, and Computational-Statistical Gaps. COLT 2024: 2840-2886 - [i30]Jonathan A. Kelner, Frederic Koehler, Raghu Meka, Dhruv Rohatgi:
Lasso with Latents: Efficient Estimation, Covariate Rescaling, and Computational-Statistical Gaps. CoRR abs/2402.15409 (2024) - [i29]Khashayar Gatmiry, Jonathan A. Kelner, Holden Lee:
Learning Mixtures of Gaussians Using Diffusion Models. CoRR abs/2404.18869 (2024) - 2023
- [c35]Jonathan A. Kelner, Jerry Li, Allen Liu, Aaron Sidford, Kevin Tian:
Semi-Random Sparse Recovery in Nearly-Linear Time. COLT 2023: 2352-2398 - [c34]Jonathan A. Kelner, Jerry Li, Allen Liu, Aaron Sidford, Kevin Tian:
Matrix Completion in Almost-Verification Time. FOCS 2023: 2102-2128 - [c33]Jonathan A. Kelner, Frederic Koehler, Raghu Meka, Dhruv Rohatgi:
Feature Adaptation for Sparse Linear Regression. NeurIPS 2023 - [i28]Khashayar Gatmiry, Jonathan A. Kelner, Santosh S. Vempala:
Sampling with Barriers: Faster Mixing via Lewis Weights. CoRR abs/2303.00480 (2023) - [i27]Jonathan A. Kelner, Frederic Koehler, Raghu Meka, Dhruv Rohatgi:
Feature Adaptation for Sparse Linear Regression. CoRR abs/2305.16892 (2023) - [i26]Jonathan A. Kelner, Jerry Li, Allen Liu, Aaron Sidford, Kevin Tian:
Matrix Completion in Almost-Verification Time. CoRR abs/2308.03661 (2023) - 2022
- [c32]Jonathan A. Kelner, Annie Marsden, Vatsal Sharan, Aaron Sidford, Gregory Valiant, Honglin Yuan:
Big-Step-Little-Step: Efficient Gradient Methods for Objectives with Multiple Scales. COLT 2022: 2431-2540 - [c31]Khashayar Gatmiry, Stefanie Jegelka, Jonathan A. Kelner:
Optimization and Adaptive Generalization of Three layer Neural Networks. ICLR 2022 - [c30]Jonathan A. Kelner, Frederic Koehler, Raghu Meka, Dhruv Rohatgi:
Lower Bounds on Randomly Preconditioned Lasso via Robust Sparse Designs. NeurIPS 2022 - [i25]Jonathan A. Kelner, Frederic Koehler, Raghu Meka, Dhruv Rohatgi:
Distributional Hardness Against Preconditioned Lasso via Erasure-Robust Designs. CoRR abs/2203.02824 (2022) - [i24]Jonathan A. Kelner, Jerry Li, Allen Liu, Aaron Sidford, Kevin Tian:
Semi-Random Sparse Recovery in Nearly-Linear Time. CoRR abs/2203.04002 (2022) - 2021
- [c29]Jonathan A. Kelner, Frederic Koehler, Raghu Meka, Dhruv Rohatgi:
On the Power of Preconditioning in Sparse Linear Regression. FOCS 2021: 550-561 - [i23]Jonathan A. Kelner, Frederic Koehler, Raghu Meka, Dhruv Rohatgi:
On the Power of Preconditioning in Sparse Linear Regression. CoRR abs/2106.09207 (2021) - [i22]Jonathan A. Kelner, Annie Marsden, Vatsal Sharan, Aaron Sidford, Gregory Valiant, Honglin Yuan:
Big-Step-Little-Step: Efficient Gradient Methods for Objectives with Multiple Scales. CoRR abs/2111.03137 (2021) - 2020
- [c28]AmirMahdi Ahmadinejad, Jonathan A. Kelner, Jack Murtagh, John Peebles, Aaron Sidford, Salil P. Vadhan:
High-precision Estimation of Random Walks in Small Space. FOCS 2020: 1295-1306 - [c27]Jonathan A. Kelner, Frederic Koehler, Raghu Meka, Ankur Moitra:
Learning Some Popular Gaussian Graphical Models without Condition Number Bounds. NeurIPS 2020
2010 – 2019
- 2019
- [j8]Boaz Barak, Samuel B. Hopkins, Jonathan A. Kelner, Pravesh K. Kothari, Ankur Moitra, Aaron Potechin
:
A Nearly Tight Sum-of-Squares Lower Bound for the Planted Clique Problem. SIAM J. Comput. 48(2): 687-735 (2019) - [i21]Jonathan A. Kelner, Frederic Koehler, Raghu Meka, Ankur Moitra:
Learning Some Popular Gaussian Graphical Models without Condition Number Bounds. CoRR abs/1905.01282 (2019) - [i20]AmirMahdi Ahmadinejad, Jonathan A. Kelner, Jack Murtagh, John Peebles, Aaron Sidford, Salil P. Vadhan:
High-precision Estimation of Random Walks in Small Space. CoRR abs/1912.04524 (2019) - 2018
- [c26]Michael B. Cohen, Jonathan A. Kelner, Rasmus Kyng, John Peebles, Richard Peng, Anup B. Rao, Aaron Sidford:
Solving Directed Laplacian Systems in Nearly-Linear Time through Sparse LU Factorizations. FOCS 2018: 898-909 - [i19]Michael B. Cohen, Jonathan A. Kelner, Rasmus Kyng, John Peebles, Richard Peng, Anup B. Rao, Aaron Sidford:
Solving Directed Laplacian Systems in Nearly-Linear Time through Sparse LU Factorizations. CoRR abs/1811.10722 (2018) - 2017
- [j7]Keren Censor-Hillel, Bernhard Haeupler, Jonathan A. Kelner, Petar Maymounkov:
Rumor Spreading with No Dependence on Conductance. SIAM J. Comput. 46(1): 58-79 (2017) - [c25]Michael B. Cohen, Jonathan A. Kelner, John Peebles, Richard Peng, Anup B. Rao, Aaron Sidford, Adrian Vladu:
Almost-linear-time algorithms for Markov chains and new spectral primitives for directed graphs. STOC 2017: 410-419 - 2016
- [c24]Boaz Barak, Samuel B. Hopkins, Jonathan A. Kelner, Pravesh Kothari, Ankur Moitra, Aaron Potechin:
A Nearly Tight Sum-of-Squares Lower Bound for the Planted Clique Problem. FOCS 2016: 428-437 - [c23]Michael B. Cohen, Jonathan A. Kelner, John Peebles, Richard Peng, Aaron Sidford, Adrian Vladu:
Faster Algorithms for Computing the Stationary Distribution, Simulating Random Walks, and More. FOCS 2016: 583-592 - [i18]Boaz Barak, Samuel B. Hopkins, Jonathan A. Kelner, Pravesh Kothari, Ankur Moitra, Aaron Potechin:
A Nearly Tight Sum-of-Squares Lower Bound for the Planted Clique Problem. CoRR abs/1604.03084 (2016) - [i17]Michael B. Cohen, Jonathan A. Kelner, John Peebles, Richard Peng, Aaron Sidford, Adrian Vladu:
Faster Algorithms for Computing the Stationary Distribution, Simulating Random Walks, and More. CoRR abs/1608.03270 (2016) - [i16]Michael B. Cohen, Jonathan A. Kelner, John Peebles, Richard Peng, Anup B. Rao, Aaron Sidford, Adrian Vladu:
Almost-Linear-Time Algorithms for Markov Chains and New Spectral Primitives for Directed Graphs. CoRR abs/1611.00755 (2016) - [i15]Boaz Barak, Samuel B. Hopkins, Jonathan A. Kelner, Pravesh Kothari, Ankur Moitra, Aaron Potechin:
A Nearly Tight Sum-of-Squares Lower Bound for the Planted Clique Problem. Electron. Colloquium Comput. Complex. TR16 (2016) - 2015
- [c22]Boaz Barak, Jonathan A. Kelner, David Steurer:
Dictionary Learning and Tensor Decomposition via the Sum-of-Squares Method. STOC 2015: 143-151 - 2014
- [c21]Jonathan A. Kelner, Yin Tat Lee, Lorenzo Orecchia, Aaron Sidford:
An Almost-Linear-Time Algorithm for Approximate Max Flow in Undirected Graphs, and its Multicommodity Generalizations. SODA 2014: 217-226 - [c20]Boaz Barak, Jonathan A. Kelner, David Steurer:
Rounding sum-of-squares relaxations. STOC 2014: 31-40 - [i14]Boaz Barak, Jonathan A. Kelner, David Steurer:
Dictionary Learning and Tensor Decomposition via the Sum-of-Squares Method. CoRR abs/1407.1543 (2014) - 2013
- [j6]Jonathan A. Kelner, Alex Levin:
Spectral Sparsification in the Semi-streaming Setting. Theory Comput. Syst. 53(2): 243-262 (2013) - [j5]Animashree Anandkumar, Avinatan Hassidim, Jonathan A. Kelner:
Topology discovery of sparse random graphs with few participants. Random Struct. Algorithms 43(1): 16-48 (2013) - [c19]Jonathan A. Kelner, Lorenzo Orecchia, Aaron Sidford, Zeyuan Allen Zhu:
A simple, combinatorial algorithm for solving SDD systems in nearly-linear time. STOC 2013: 911-920 - [i13]Jonathan A. Kelner, Lorenzo Orecchia, Aaron Sidford, Zeyuan Allen Zhu:
A Simple, Combinatorial Algorithm for Solving SDD Systems in Nearly-Linear Time. CoRR abs/1301.6628 (2013) - [i12]Jonathan A. Kelner, Lorenzo Orecchia, Yin Tat Lee, Aaron Sidford:
An Almost-Linear-Time Algorithm for Approximate Max Flow in Undirected Graphs, and its Multicommodity Generalizations. CoRR abs/1304.2338 (2013) - [i11]Boaz Barak, Jonathan A. Kelner, David Steurer:
Rounding Sum-of-Squares Relaxations. CoRR abs/1312.6652 (2013) - [i10]Boaz Barak, Jonathan A. Kelner, David Steurer:
Rounding Sum-of-Squares Relaxations. Electron. Colloquium Comput. Complex. TR13 (2013) - 2012
- [j4]Scott Aaronson, Edward Farhi, David Gosset, Avinatan Hassidim, Jonathan A. Kelner, Andrew Lutomirski:
Quantum money. Commun. ACM 55(8): 84-92 (2012) - [c18]Zeyuan Allen Zhu, Sasa Misailovic, Jonathan A. Kelner, Martin C. Rinard:
Randomized accuracy-aware program transformations for efficient approximate computations. POPL 2012: 441-454 - [c17]Jonathan A. Kelner, Gary L. Miller, Richard Peng:
Faster approximate multicommodity flow using quadratically coupled flows. STOC 2012: 1-18 - [c16]Boaz Barak, Fernando G. S. L. Brandão, Aram W. Harrow, Jonathan A. Kelner, David Steurer, Yuan Zhou:
Hypercontractivity, sum-of-squares proofs, and their applications. STOC 2012: 307-326 - [c15]Keren Censor-Hillel, Bernhard Haeupler, Jonathan A. Kelner, Petar Maymounkov:
Global computation in a poorly connected world: fast rumor spreading with no dependence on conductance. STOC 2012: 961-970 - [i9]Jonathan A. Kelner, Gary L. Miller, Richard Peng:
Faster Approximate Multicommodity Flow Using Quadratically Coupled Flows. CoRR abs/1202.3367 (2012) - [i8]Boaz Barak, Fernando G. S. L. Brandão, Aram W. Harrow, Jonathan A. Kelner, David Steurer, Yuan Zhou:
Hypercontractivity, Sum-of-Squares Proofs, and their Applications. CoRR abs/1205.4484 (2012) - 2011
- [j3]Jonathan A. Kelner, Petar Maymounkov:
Electric routing and concurrent flow cutting. Theor. Comput. Sci. 412(32): 4123-4135 (2011) - [c14]Animashree Anandkumar, Avinatan Hassidim, Jonathan A. Kelner:
Topology discovery of sparse random graphs with few participants. SIGMETRICS 2011: 293-304 - [c13]Jonathan A. Kelner, Alex Levin:
Spectral Sparsification in the Semi-Streaming Setting. STACS 2011: 440-451 - [c12]Paul F. Christiano, Jonathan A. Kelner, Aleksander Madry, Daniel A. Spielman, Shang-Hua Teng:
Electrical flows, laplacian systems, and faster approximation of maximum flow in undirected graphs. STOC 2011: 273-282 - [i7]Animashree Anandkumar, Avinatan Hassidim, Jonathan A. Kelner:
Topology Discovery of Sparse Random Graphs With Few Participants. CoRR abs/1102.5063 (2011) - [i6]Keren Censor-Hillel, Bernhard Haeupler, Jonathan A. Kelner, Petar Maymounkov:
Global Computation in a Poorly Connected World: Fast Rumor Spreading with No Dependence on Conductance. CoRR abs/1104.2944 (2011) - 2010
- [c11]Andrew Lutomirski, Scott Aaronson, Edward Farhi, David Gosset, Jonathan A. Kelner, Avinatan Hassidim, Peter W. Shor:
Breaking and Making Quantum Money: Toward a New Quantum Cryptographic Protocol. ICS 2010: 20-31 - [i5]Jonathan A. Kelner, James R. Lee, Gregory N. Price, Shang-Hua Teng:
Metric uniformization and spectral bounds for graphs. CoRR abs/1008.3594 (2010) - [i4]Paul F. Christiano, Jonathan A. Kelner, Aleksander Madry, Daniel A. Spielman, Shang-Hua Teng:
Electrical Flows, Laplacian Systems, and Faster Approximation of Maximum Flow in Undirected Graphs. CoRR abs/1010.2921 (2010)
2000 – 2009
- 2009
- [c10]Jonathan A. Kelner, Aleksander Madry:
Faster Generation of Random Spanning Trees. FOCS 2009: 13-21 - [c9]Avinatan Hassidim, Jonathan A. Kelner, Huy N. Nguyen, Krzysztof Onak:
Local Graph Partitions for Approximation and Testing. FOCS 2009: 22-31 - [c8]Jonathan A. Kelner, James R. Lee, Gregory N. Price, Shang-Hua Teng:
Higher Eigenvalues of Graphs. FOCS 2009: 735-744 - [c7]Samuel I. Daitch, Jonathan A. Kelner, Daniel A. Spielman:
Fitting a graph to vector data. ICML 2009: 201-208 - [c6]Jonathan A. Kelner, Petar Maymounkov:
Electric Routing and Concurrent Flow Cutting. ISAAC 2009: 792-801 - [i3]Jonathan A. Kelner, Aleksander Madry:
Faster generation of random spanning trees. CoRR abs/0908.1448 (2009) - [i2]Jonathan A. Kelner, Petar Maymounkov:
Electric routing and concurrent flow cutting. CoRR abs/0909.2859 (2009) - 2007
- [c5]Jonathan A. Kelner, Evdokia Nikolova:
On the Hardness and Smoothed Complexity of Quasi-Concave Minimization. FOCS 2007: 472-482 - 2006
- [b1]Jonathan A. Kelner:
New geometric techniques for linear programming and graph partitioning. Massachusetts Institute of Technology, Cambridge, MA, USA, 2006 - [j2]Jonathan A. Kelner:
Spectral Partitioning, Eigenvalue Bounds, and Circle Packings for Graphs of Bounded Genus. SIAM J. Comput. 35(4): 882-902 (2006) - [c4]Evdokia Nikolova, Jonathan A. Kelner, Matthew Brand, Michael Mitzenmacher:
Stochastic Shortest Paths Via Quasi-convex Maximization. ESA 2006: 552-563 - [c3]Jonathan A. Kelner, Daniel A. Spielman:
A randomized polynomial-time simplex algorithm for linear programming. STOC 2006: 51-60 - 2005
- [i1]Jonathan A. Kelner, Daniel A. Spielman:
A Randomized Polynomial-Time Simplex Algorithm for Linear Programming (Preliminary Version). Electron. Colloquium Comput. Complex. TR05 (2005) - 2004
- [c2]Jonathan A. Kelner:
Spectral partitioning, eigenvalue bounds, and circle packings for graphs of bounded genus. STOC 2004: 455-464 - 2002
- [j1]Vivek K. Goyal, Jonathan A. Kelner, Jelena Kovacevic:
Multiple description vector quantization with a coarse lattice. IEEE Trans. Inf. Theory 48(3): 781-788 (2002) - 2000
- [c1]Jonathan A. Kelner, Vivek K. Goyal, Jelena Kovacevic:
Multiple Description Lattice Vector Quantization: Variations and Extensions. Data Compression Conference 2000: 480-489
Coauthor Index
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