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Poster
Tue 10:00 A simpler approach to accelerated optimization: iterative averaging meets optimism
Pooria Joulani · Anant Raj · András György · Csaba Szepesvari
Poster
Wed 14:00 Lifted Disjoint Paths with Application in Multiple Object Tracking
Andrea Hornakova · Roberto Henschel · Bodo Rosenhahn · Paul Swoboda
Poster
Thu 13:00 Stochastic Subspace Cubic Newton Method
Filip Hanzely · Nikita Doikov · Yurii Nesterov · Peter Richtarik
Poster
Wed 8:00 Optimizing Black-box Metrics with Adaptive Surrogates
Qijia Jiang · Olaoluwa Adigun · Harikrishna Narasimhan · Mahdi Milani Fard · Maya Gupta
Poster
Thu 6:00 Linear Convergence of Randomized Primal-Dual Coordinate Method for Large-scale Linear Constrained Convex Programming
Daoli Zhu · Lei Zhao
Poster
Wed 14:00 Variance Reduced Coordinate Descent with Acceleration: New Method With a Surprising Application to Finite-Sum Problems
Filip Hanzely · Dmitry Kovalev · Peter Richtarik
Poster
Wed 11:00 Statistically Preconditioned Accelerated Gradient Method for Distributed Optimization
Hadrien Hendrikx · Lin Xiao · Sebastien Bubeck · Francis Bach · Laurent Massoulié
Poster
Tue 12:00 Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization
Geoffrey Negiar · Gideon Dresdner · Alicia Yi-Ting Tsai · Laurent El Ghaoui · Francesco Locatello · Robert Freund · Fabian Pedregosa
Poster
Thu 12:00 Extra-gradient with player sampling for faster convergence in n-player games
Samy Jelassi · Carles Domingo-Enrich · Damien Scieur · Arthur Mensch · Joan Bruna