Year |
Citation |
Score |
2020 |
Liang T, Rakhlin A. Just interpolate: Kernel “Ridgeless” regression can generalize Annals of Statistics. 48: 1329-1347. DOI: 10.1214/19-Aos1849 |
0.313 |
|
2017 |
Rakhlin A, Sridharan K, Tsybakov AB. Empirical entropy, minimax regret and minimax risk Bernoulli. 23: 789-824. DOI: 10.3150/14-Bej679 |
0.342 |
|
2017 |
Cai TT, Liang T, Rakhlin A. Computational and statistical boundaries for submatrix localization in a large noisy matrix Annals of Statistics. 45: 1403-1430. DOI: 10.1214/16-Aos1488 |
0.308 |
|
2016 |
Cai TT, Liang T, Rakhlin A. Geometric inference for general high-dimensional linear inverse problems Annals of Statistics. 44: 1536-1563. DOI: 10.1214/15-Aos1426 |
0.326 |
|
2016 |
Shahrampour S, Rakhlin A, Jadbabaie A. Distributed Detection: Finite-Time Analysis and Impact of Network Topology Ieee Transactions On Automatic Control. 61: 3256-3268. DOI: 10.1109/Tac.2015.2506903 |
0.353 |
|
2014 |
Bartók G, Foster DP, Pál D, Rakhlin A, Szepesvári C. Partial monitoring - Classification, regret bounds, and algorithms Mathematics of Operations Research. 39: 967-997. DOI: 10.1287/Moor.2014.0663 |
0.357 |
|
2014 |
Rakhlin A, Sridharan K, Tewari A. Sequential complexities and uniform martingale laws of large numbers Probability Theory and Related Fields. 1-43. DOI: 10.1007/S00440-013-0545-5 |
0.312 |
|
2013 |
Agarwal A, Foster DP, Hsu D, Kakade SM, Rakhlin A. Stochastic convex optimization with bandit feedback Siam Journal On Optimization. 23: 213-240. DOI: 10.1137/110850827 |
0.379 |
|
2012 |
Seshia SA, Rakhlin A. Quantitative analysis of systems using game-theoretic learning Transactions On Embedded Computing Systems. 11. DOI: 10.1145/2331147.2331165 |
0.383 |
|
2012 |
Abernethy JD, Hazan E, Rakhlin A. Interior-point methods for full-information and bandit online learning Ieee Transactions On Information Theory. 58: 4164-4175. DOI: 10.1109/Tit.2012.2192096 |
0.418 |
|
2011 |
Raginsky M, Rakhlin A. Information-based complexity, feedback and dynamics in convex programming Ieee Transactions On Information Theory. 57: 7036-7056. DOI: 10.1109/Tit.2011.2154375 |
0.421 |
|
2005 |
Rakhlin A, Mukherjee S, Poggio T. Stability Results In Learning Theory Analysis and Applications. 3: 397-417. DOI: 10.1142/S0219530505000650 |
0.549 |
|
2005 |
Rakhlin A, Panchenko D, Mukherjee S. Risk bounds for mixture density estimation Esaim - Probability and Statistics. 9: 220-229. DOI: 10.1051/ps:2005011 |
0.521 |
|
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