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Publication search results
found 48 matches
- 2024
- Max Hopkins:
High Dimensional Expanders in Analysis and Computation. University of California, San Diego, USA, 2024 - Max Hopkins, Daniel M. Kane, Shachar Lovett, Gaurav Mahajan:
Realizable Learning is All You Need. TheoretiCS 3 (2024) - Yotam Dikstein, Max Hopkins:
Chernoff Bounds and Reverse Hypercontractivity on HDX. CoRR abs/2404.10961 (2024) - Maxim Enis, Mark Hopkins:
From LLM to NMT: Advancing Low-Resource Machine Translation with Claude. CoRR abs/2404.13813 (2024) - Max Hopkins, Russell Impagliazzo, Daniel Kane, Sihan Liu, Christopher Ye:
Replicability in High Dimensional Statistics. CoRR abs/2406.02628 (2024) - Max Hopkins:
Hypercontractivity on HDX II: Symmetrization and q-Norms. CoRR abs/2408.16687 (2024) - Yotam Dikstein, Max Hopkins:
Chernoff Bounds and Reverse Hypercontractivity on HDX. Electron. Colloquium Comput. Complex. TR24 (2024) - 2023
- Robi Bhattacharjee, Max Hopkins, Akash Kumar, Hantao Yu, Kamalika Chaudhuri:
Robust Empirical Risk Minimization with Tolerance. ALT 2023: 182-203 - Daniel Beaglehole, Max Hopkins, Daniel Kane, Sihan Liu, Shachar Lovett:
Sampling Equilibria: Fast No-Regret Learning in Structured Games. SODA 2023: 3817-3855 - Mark Bun, Marco Gaboardi, Max Hopkins, Russell Impagliazzo, Rex Lei, Toniann Pitassi, Satchit Sivakumar, Jessica Sorrell:
Stability Is Stable: Connections between Replicability, Privacy, and Adaptive Generalization. STOC 2023: 520-527 - Max Hopkins, Daniel M. Kane, Shachar Lovett, Gaurav Mahajan:
Do PAC-Learners Learn the Marginal Distribution? CoRR abs/2302.06285 (2023) - Mark Bun, Marco Gaboardi, Max Hopkins, Russell Impagliazzo, Rex Lei, Toniann Pitassi, Satchit Sivakumar, Jessica Sorrell:
Stability is Stable: Connections between Replicability, Privacy, and Adaptive Generalization. CoRR abs/2303.12921 (2023) - 2022
- Jason Gaitonde, Max Hopkins, Tali Kaufman, Shachar Lovett, Ruizhe Zhang:
Eigenstripping, Spectral Decay, and Edge-Expansion on Posets. APPROX/RANDOM 2022: 16:1-16:24 - Max Hopkins, Daniel M. Kane, Shachar Lovett, Gaurav Mahajan:
Realizable Learning is All You Need. COLT 2022: 3015-3069 - Max Hopkins, Ting-Chun Lin:
Explicit Lower Bounds Against Ω(n)-Rounds of Sum-of-Squares. FOCS 2022: 662-673 - Omri Ben-Eliezer, Max Hopkins, Chutong Yang, Hantao Yu:
Active Learning Polynomial Threshold Functions. NeurIPS 2022 - Mitali Bafna, Max Hopkins, Tali Kaufman, Shachar Lovett:
High Dimensional Expanders: Eigenstripping, Pseudorandomness, and Unique Games. SODA 2022: 1069-1128 - Mitali Bafna, Max Hopkins, Tali Kaufman, Shachar Lovett:
Hypercontractivity on high dimensional expanders. STOC 2022: 185-194 - Omri Ben-Eliezer, Max Hopkins, Chutong Yang, Hantao Yu:
Active Learning Polynomial Threshold Functions. CoRR abs/2201.09433 (2022) - Max Hopkins, Ting-Chun Lin:
Explicit Lower Bounds Against Ω(n)-Rounds of Sum-of-Squares. CoRR abs/2204.11469 (2022) - Jason Gaitonde, Max Hopkins, Tali Kaufman, Shachar Lovett, Ruizhe Zhang:
Eigenstripping, Spectral Decay, and Edge-Expansion on Posets. CoRR abs/2205.00644 (2022) - Robi Bhattacharjee, Max Hopkins, Akash Kumar, Hantao Yu, Kamalika Chaudhuri:
Robust Empirical Risk Minimization with Tolerance. CoRR abs/2210.00635 (2022) - Max Hopkins, Ting-Chun Lin:
Explicit Lower Bounds Against Ω(n)-Rounds of Sum-of-Squares. Electron. Colloquium Comput. Complex. TR22 (2022) - 2021
- Max Hopkins, Daniel Kane, Shachar Lovett, Michal Moshkovitz:
Bounded Memory Active Learning through Enriched Queries. COLT 2021: 2358-2387 - Max Hopkins, Daniel Kane, Shachar Lovett, Michal Moshkovitz:
Bounded Memory Active Learning through Enriched Queries. CoRR abs/2102.05047 (2021) - Max Hopkins, Daniel M. Kane, Shachar Lovett, Gaurav Mahajan:
Realizable Learning is All You Need. CoRR abs/2111.04746 (2021) - Mitali Bafna, Max Hopkins, Tali Kaufman, Shachar Lovett:
Hypercontractivity on High Dimensional Expanders: a Local-to-Global Approach for Higher Moments. CoRR abs/2111.09444 (2021) - Mitali Bafna, Max Hopkins, Tali Kaufman, Shachar Lovett:
Hypercontractivity on High Dimensional Expanders: a Local-to-Global Approach for Higher Moments. Electron. Colloquium Comput. Complex. TR21 (2021) - 2020
- Maxim Okhrimenko, Chris Hopkinson:
A Simplified End-User Approach to Lidar Very Shallow Water Bathymetric Correction. IEEE Geosci. Remote. Sens. Lett. 17(1): 3-7 (2020) - Max Hopkins, Daniel Kane, Shachar Lovett, Gaurav Mahajan:
Noise-tolerant, Reliable Active Classification with Comparison Queries. COLT 2020: 1957-2006
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