Max Hopkins
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
7
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | STOC | High Rate Efficient Local List Decoding from HDX. | Yotam Dikstein, Max Hopkins, Toniann Pitassi, Russell Impagliazzo |
| 2025 | ALT | Do PAC-Learners Learn the Marginal Distribution? | Max Hopkins, Daniel M. Kane, Shachar Lovett, Gaurav Mahajan |
| 2025 | ICML | The Role of Randomness in Stability. | Max Hopkins, Shay Moran |
| 2025 | STOC | Hypercontractivity on HDX II: Symmetrization and q-Norms. | Max Hopkins |
| 2024 | FOCS | Chernoff Bounds and Reverse Hypercontractivity on HDX. | Yotam Dikstein, Max Hopkins |
| 2024 | FOCS | Replicability in High Dimensional Statistics. | Max Hopkins, Russell Impagliazzo, Daniel M. Kane, Sihan Liu, Christopher Ye |
| 2023 | ALT | Robust Empirical Risk Minimization with Tolerance. | Robi Bhattacharjee, Max Hopkins, Akash Kumar, Hantao Yu, Kamalika Chaudhuri |
| 2023 | SODA | Sampling Equilibria: Fast No-Regret Learning in Structured Games. | Daniel Beaglehole, Max Hopkins, Daniel Kane, Sihan Liu, Shachar Lovett |
| 2023 | STOC | Stability Is Stable: Connections between Replicability, Privacy, and Adaptive Generalization. | Mark Bun, Marco Gaboardi, Max Hopkins, Russell Impagliazzo, Rex Lei, Toniann Pitassi, Satchit Sivakumar, Jessica Sorrell |
| 2022 | COLT | Realizable Learning is All You Need. | Max Hopkins, Daniel M. Kane, Shachar Lovett, Gaurav Mahajan |
| 2022 | FOCS | Explicit Lower Bounds Against Ω(n)-Rounds of Sum-of-Squares. | Max Hopkins, Ting-Chun Lin |
| 2022 | SODA | High Dimensional Expanders: Eigenstripping, Pseudorandomness, and Unique Games. | Mitali Bafna, Max Hopkins, Tali Kaufman, Shachar Lovett |
| 2022 | STOC | Hypercontractivity on high dimensional expanders. | Mitali Bafna, Max Hopkins, Tali Kaufman, Shachar Lovett |
| 2021 | COLT | Bounded Memory Active Learning through Enriched Queries. | Max Hopkins, Daniel Kane, Shachar Lovett, Michal Moshkovitz |
| 2020 | COLT | Noise-tolerant, Reliable Active Classification with Comparison Queries. | Max Hopkins, Daniel Kane, Shachar Lovett, Gaurav Mahajan |
| 2020 | FOCS | Point Location and Active Learning: Learning Halfspaces Almost Optimally. | Max Hopkins, Daniel Kane, Shachar Lovett, Gaurav Mahajan |
| 2018 | DCC | Simulated Annealing for JPEG Quantization. | Max Hopkins, Michael Mitzenmacher, Sebastian Wagner-Carena |