| Year | Rank | Type | Title / Venue / Authors |
|---|---|---|---|
| 2025 | J | jnl |
CoRR
|
| 2025 | B | conf |
ALT
|
| 2025 | A* | conf |
COLT
|
| 2025 | J | jnl |
CoRR
|
| 2024 | A | conf |
ECAI
|
| 2024 | J | jnl |
CoRR
|
| 2024 | — | conf |
xAI (3)
|
| 2024 | A* | conf |
COLT
|
| 2024 | J | jnl |
CoRR
|
| 2023 | B | conf |
ALT
|
| 2023 | A* | conf |
NeurIPS
|
| 2023 | A | conf |
AISTATS
|
| 2023 | A* | conf |
ICML
|
| 2022 | J | jnl |
CoRR
|
| 2022 | A* | conf |
AAAI
|
| 2022 | J | jnl |
CoRR
|
| 2022 | — | conf |
FORC
|
| 2021 | A | conf |
UAI
|
| 2021 | J | jnl |
CoRR
|
| 2021 | A* | conf |
COLT
|
| 2020 | A* | conf |
ICML
|
| 2020 | J | jnl |
CoRR
|
| 2020 | B | conf |
ALT
|
| 2019 | A* | conf |
COLT
|
| 2019 | J | jnl |
CoRR
|
| 2017 | J | jnl |
J. Mach. Learn. Res.
|
| 2016 | — | ch. |
Encyclopedia of Algorithms
|
| 2016 | — | conf |
NIPS
|
| 2016 | J | jnl |
CoRR
|
| 2016 | J | jnl |
Dagstuhl Reports
|
| 2016 | — | conf |
NIPS
|
| 2016 | B | conf |
ALT
|
| 2015 | A* | conf |
ICML
|
| 2015 | A* | conf |
COLT
|
| 2015 | J | jnl |
CoRR
|
| 2015 | A* | conf |
COLT
|
| 2014 | J | jnl |
Ann. Math. Artif. Intell.
|
| 2014 | — | conf |
WINE
|
| 2014 | J | jnl |
CoRR
|
| 2014 | A* | conf |
COLT
|
| 2014 | Misc | conf |
ISAIM
|
| 2013 | A | conf |
UAI
|
| 2013 | J | jnl |
CoRR
|
| 2013 | — | — |
|
| 2013 | — | conf |
ICML (2)
|
| 2013 | A* | conf |
COLT
|
| 2012 | Misc | conf |
ISAIM
|
| 2012 | A | conf |
AISTATS
|
| 2012 | B | conf |
ALT
|
| 2011 | A* | conf |
ICML
|
| 2010 | — | conf |
IFIPTM
|
| 2010 | J | jnl |
Discret. Appl. Math.
|