Travelled to:
1 × China
1 × France
1 × Israel
1 × USA
Collaborated with:
∅ R.Tomioka M.Sugiyama H.Kashima
Talks about:
multipli (2) method (2) direct (2) altern (2) dual (2) lagrangian (1) algorithm (1) stochast (1) gradient (1) bayesian (1)
Person: Taiji Suzuki
DBLP: Suzuki:Taiji
Contributed to:
Wrote 4 papers:
- ICML-2015-Suzuki #convergence
- Convergence rate of Bayesian tensor estimator and its minimax optimality (TS), pp. 1273–1282.
- ICML-c1-2014-Suzuki #coordination #multi #probability
- Stochastic Dual Coordinate Ascent with Alternating Direction Method of Multipliers (TS), pp. 736–744.
- ICML-c1-2013-Suzuki #multi #online
- Dual Averaging and Proximal Gradient Descent for Online Alternating Direction Multiplier Method (TS), pp. 392–400.
- ICML-2010-TomiokaSSK #algorithm #learning #matrix #performance #rank
- A Fast Augmented Lagrangian Algorithm for Learning Low-Rank Matrices (RT, TS, MS, HK), pp. 1087–1094.