default search action
Mark Sellke
Person information
- affiliation: Stanford University, Department of Mathematics, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j8]Ryan Alweiss, Brice Huang, Mark Sellke:
Improved Lower Bound for Frankl's Union-Closed Sets Conjecture. Electron. J. Comb. 31(3) (2024) - [j7]Mark Sellke
:
On size-independent sample complexity of ReLU networks. Inf. Process. Lett. 186: 106482 (2024) - [c22]Tanishq Kumar, Kevin Luo, Mark Sellke:
No Free Prune: Information-Theoretic Barriers to Pruning at Initialization. ICML 2024 - [i29]Tanishq Kumar, Kevin Luo, Mark Sellke:
No Free Prune: Information-Theoretic Barriers to Pruning at Initialization. CoRR abs/2402.01089 (2024) - 2023
- [j6]Mark Sellke
The Price of Incentivizing Exploration: A Characterization via Thompson Sampling and Sample Complexity. Oper. Res. 71(5): 1706-1732 (2023) - [j5]Sébastien Bubeck
A Universal Law of Robustness via Isoperimetry. J. ACM 70(2): 10:1-10:18 (2023) - [j4]Ahmed El Alaoui, Andrea Montanari, Mark Sellke
Local algorithms for maximum cut and minimum bisection on locally treelike regular graphs of large degree. Random Struct. Algorithms 63(3): 689-715 (2023) - [j3]Sébastien Bubeck, Mark Sellke
First-Order Bayesian Regret Analysis of Thompson Sampling. IEEE Trans. Inf. Theory 69(3): 1795-1823 (2023) - [c21]Sitan Chen, Brice Huang, Jerry Li, Allen Liu, Mark Sellke:
When Does Adaptivity Help for Quantum State Learning? FOCS 2023: 391-404 - [c20]Ofer Grossman, Meghal Gupta, Mark Sellke:
Tight Space Lower Bound for Pseudo-Deterministic Approximate Counting. FOCS 2023: 1496-1504 - [c19]Mark Sellke:
Incentivizing Exploration with Linear Contexts and Combinatorial Actions. ICML 2023: 30570-30583 - [c18]Evelyn Xiao-Yue Gong, Mark Sellke:
Asymptotically Optimal Quantile Pure Exploration for Infinite-Armed Bandits. NeurIPS 2023 - [i28]Brice Huang, Mark Sellke
Algorithmic Threshold for Multi-Species Spherical Spin Glasses. CoRR abs/2303.12172 (2023) - [i27]Ofer Grossman, Meghal Gupta, Mark Sellke
Tight Space Lower Bound for Pseudo-Deterministic Approximate Counting. CoRR abs/2304.01438 (2023) - [i26]Mark Sellke:
Incentivizing Exploration with Linear Contexts and Combinatorial Actions. CoRR abs/2306.01990 (2023) - [i25]Mark Sellke:
On Size-Independent Sample Complexity of ReLU Networks. CoRR abs/2306.01992 (2023) - [i24]Evelyn Xiao-Yue Gong, Mark Sellke:
Asymptotically Optimal Pure Exploration for Infinite-Armed Bandits. CoRR abs/2306.01995 (2023) - 2022
- [j2]Victoria Kostina
Exact Minimum Number of Bits to Stabilize a Linear System. IEEE Trans. Autom. Control. 67(10): 5548-5554 (2022) - [c17]Allen Liu, Mark Sellke:
The Pareto Frontier of Instance-Dependent Guarantees in Multi-Player Multi-Armed Bandits with no Communication. COLT 2022: 3094 - [c16]Brice Huang, Mark Sellke
Tight Lipschitz Hardness for optimizing Mean Field Spin Glasses. FOCS 2022: 312-322 - [c15]Ahmed El Alaoui, Andrea Montanari, Mark Sellke
Sampling from the Sherrington-Kirkpatrick Gibbs measure via algorithmic stochastic localization. FOCS 2022: 323-334 - [c14]Yining Chen, Elan Rosenfeld, Mark Sellke, Tengyu Ma, Andrej Risteski:
Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic Environments. NeurIPS 2022 - [i23]Allen Liu, Mark Sellke:
The Pareto Frontier of Instance-Dependent Guarantees in Multi-Player Multi-Armed Bandits with no Communication. CoRR abs/2202.09653 (2022) - [i22]Ahmed El Alaoui, Andrea Montanari, Mark Sellke:
Sampling from the Sherrington-Kirkpatrick Gibbs measure via algorithmic stochastic localization. CoRR abs/2203.05093 (2022) - [i21]Sitan Chen, Brice Huang, Jerry Li, Allen Liu, Mark Sellke
Tight Bounds for State Tomography with Incoherent Measurements. CoRR abs/2206.05265 (2022) - 2021
- [j1]Victoria Kostina
Stabilizing a System With an Unbounded Random Gain Using Only Finitely Many Bits. IEEE Trans. Inf. Theory 67(4): 2554-2561 (2021) - [c13]Sébastien Bubeck, Thomas Budzinski, Mark Sellke:
Cooperative and Stochastic Multi-Player Multi-Armed Bandit: Optimal Regret With Neither Communication Nor Collisions. COLT 2021: 821-822 - [c12]Sébastien Bubeck, Niv Buchbinder, Christian Coester
Metrical Service Systems with Transformations. ITCS 2021: 21:1-21:20 - [c11]Sébastien Bubeck, Mark Sellke:
A Universal Law of Robustness via Isoperimetry. NeurIPS 2021: 28811-28822 - [c10]Mark Sellke, Aleksandrs Slivkins:
The Price of Incentivizing Exploration: A Characterization via Thompson Sampling and Sample Complexity. EC 2021: 795-796 - [c9]Parinya Chalermsook, Syamantak Das, Yunbum Kook, Bundit Laekhanukit, Yang P. Liu, Richard Peng, Mark Sellke, Daniel Vaz:
Vertex Sparsification for Edge Connectivity. SODA 2021: 1206-1225 - [c8]Sébastien Bubeck, Yuval Rabani, Mark Sellke:
Online Multiserver Convex Chasing and Optimization. SODA 2021: 2093-2104 - [i20]Sébastien Bubeck, Mark Sellke:
A Universal Law of Robustness via Isoperimetry. CoRR abs/2105.12806 (2021) - [i19]Yining Chen, Elan Rosenfeld, Mark Sellke, Tengyu Ma, Andrej Risteski:
Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic Environments. CoRR abs/2106.09913 (2021) - [i18]Brice Huang, Mark Sellke:
Tight Lipschitz Hardness for Optimizing Mean Field Spin Glasses. CoRR abs/2110.07847 (2021) - [i17]Ahmed El Alaoui, Andrea Montanari, Mark Sellke:
Local algorithms for Maximum Cut and Minimum Bisection on locally treelike regular graphs of large degree. CoRR abs/2111.06813 (2021) - 2020
- [c7]Sébastien Bubeck, Mark Sellke:
First-Order Bayesian Regret Analysis of Thompson Sampling. ALT 2020: 196-233 - [c6]Sébastien Bubeck, Yuanzhi Li, Yuval Peres, Mark Sellke:
Non-Stochastic Multi-Player Multi-Armed Bandits: Optimal Rate With Collision Information, Sublinear Without. COLT 2020: 961-987 - [c5]Sébastien Bubeck, Bo'az Klartag, Yin Tat Lee, Yuanzhi Li, Mark Sellke:
Chasing Nested Convex Bodies Nearly Optimally. SODA 2020: 1496-1508 - [c4]Mark Sellke
Chasing Convex Bodies Optimally. SODA 2020: 1509-1518 - [i16]Mark Sellke, Aleksandrs Slivkins:
Sample Complexity of Incentivized Exploration. CoRR abs/2002.00558 (2020) - [i15]Sébastien Bubeck, Yuval Rabani, Mark Sellke:
Online Multiserver Convex Chasing and Optimization. CoRR abs/2004.07346 (2020) - [i14]Parinya Chalermsook, Syamantak Das, Bundit Laekhanukit, Yunbum Kook, Yang P. Liu, Richard Peng, Mark Sellke, Daniel Vaz:
Vertex Sparsification for Edge Connectivity. CoRR abs/2007.07862 (2020) - [i13]Sébastien Bubeck, Niv Buchbinder, Christian Coester, Mark Sellke:
Metrical Service Systems with Transformations. CoRR abs/2009.08266 (2020) - [i12]Ahmed El Alaoui, Mark Sellke:
Algorithmic pure states for the negative spherical perceptron. CoRR abs/2010.15811 (2020) - [i11]Sébastien Bubeck, Thomas Budzinski, Mark Sellke:
Cooperative and Stochastic Multi-Player Multi-Armed Bandit: Optimal Regret With Neither Communication Nor Collisions. CoRR abs/2011.03896 (2020) - [i10]Timothy Chu, Gary L. Miller, Shyam Narayanan, Mark Sellke:
Functions that Preserve Manhattan Distances. CoRR abs/2011.11503 (2020)
2010 – 2019
- 2019
- [c3]Sébastien Bubeck, Yin Tat Lee, Yuanzhi Li, Mark Sellke
Competitively chasing convex bodies. STOC 2019: 861-868 - [i9]Sébastien Bubeck, Mark Sellke:
First-Order Regret Analysis of Thompson Sampling. CoRR abs/1902.00681 (2019) - [i8]Sébastien Bubeck, Yuanzhi Li, Yuval Peres, Mark Sellke:
Non-Stochastic Multi-Player Multi-Armed Bandits: Optimal Rate With Collision Information, Sublinear Without. CoRR abs/1904.12233 (2019) - [i7]Mark Sellke:
Chasing Convex Bodies Optimally. CoRR abs/1905.11968 (2019) - [i6]Yang P. Liu, Richard Peng, Mark Sellke:
Vertex Sparsifiers for c-Edge Connectivity. CoRR abs/1910.10359 (2019) - 2018
- [c2]Victoria Kostina
Exact minimum number of bits to stabilize a linear system. CDC 2018: 453-458 - [c1]Victoria Kostina
Stabilizing a System with an Unbounded Random Gain Using Only Finitely Many Bits. ISIT 2018: 2256-2260 - [i5]Victoria Kostina, Yuval Peres, Gireeja Ranade, Mark Sellke:
Stabilizing a system with an unbounded random gain using only a finite number of bits. CoRR abs/1805.05535 (2018) - [i4]Victoria Kostina, Yuval Peres, Gireeja Ranade, Mark Sellke:
Exact minimum number of bits to stabilize a linear system. CoRR abs/1807.07686 (2018) - [i3]Sébastien Bubeck, Yin Tat Lee, Yuanzhi Li, Mark Sellke:
Competitively Chasing Convex Bodies. CoRR abs/1811.00887 (2018) - [i2]Sébastien Bubeck, Yin Tat Lee, Yuanzhi Li, Mark Sellke:
Chasing Nested Convex Bodies Nearly Optimally. CoRR abs/1811.00999 (2018) - 2017
- [i1]Boris Hanin, Mark Sellke:
Approximating Continuous Functions by ReLU Nets of Minimal Width. CoRR abs/1710.11278 (2017)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-23 21:27 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: