`

Timezone: »

 
Poster Session
Eduard Gorbunov · Alexandre d'Aspremont · Lingxiao Wang · Liwei Wang · Boris Ginsburg · Alessio Quaglino · Camille Castera · Saurabh Adya · Diego Granziol · Rudrajit Das · Raghu Bollapragada · Fabian Pedregosa · Martin Takac · Majid Jahani · Sai Praneeth Karimireddy · Hilal Asi · Balint Daroczy · Leonard Adolphs · Aditya Rawal · Nicolas Brandt · Minhan Li · Giuseppe Ughi · Orlando Romero · Ivan Skorokhodov · Damien Scieur · Kiwook Bae · Konstantin Mishchenko · Rohan Anil · Vatsal Sharan · Aditya Balu · Chao Chen · Zhewei Yao · Tolga Ergen · Paul Grigas · Chris Junchi Li · Jimmy Ba · Stephen J Roberts · Sharan Vaswani · Armin Eftekhari · Chhavi Sharma

Fri Dec 13 09:45 AM -- 10:30 AM (PST) @ None

Poster Session

Author Information

Eduard Gorbunov (Moscow Institute of Physics and Technology)
Alexandre d'Aspremont (CNRS - Ecole Normale Supérieure)
Lingxiao Wang (Northwestern University)
Liwei Wang (Peking University)
Boris Ginsburg (NVIDIA)
Alessio Quaglino (NNAISENSE SA)
Camille Castera (IRIT - CNRS)
Saurabh Adya (Apple)
Diego Granziol (University of Oxford)
Rudrajit Das (University of Texas at Austin)
Raghu Bollapragada (Argonne National Laboratory)
Fabian Pedregosa (Google AI)
Martin Takac (Lehigh University)
Majid Jahani (Lehigh University)
Sai Praneeth Karimireddy (EPFL)

I am a second year PhD student working in convex and non-convex optimization with Prof. Martin Jaggi. My focus is on designing faster and more scalable optimization algorithms for machine learning. Some of my preliminary results and problems I am currently working on- 1. Robust accelerated algorithms - Nesterov acceleration modified to be robust to noise. 2. Faster algorithms which take second order information about the function into account. 3. A $O(1/t^2)$ rate *affine invariant* algorithm for constrained optimization. 4. Frank-Wolfe algorithm for non-smooth functions using 'noisy-smoothing'

Hilal Asi (Stanford University)
Balint Daroczy (Institute for Computer Science and Control, SZTAKI)

Information geometry researcher at MTA SZTAKI in Budapest.

Leonard Adolphs (ETH Zurich)
Aditya Rawal (Uber AI Labs)
Nicolas Brandt (EPFL)
Minhan Li (Lehigh University)

Minhan Li is currently a Ph.D. candidate at Lehigh University. His research interest includes nonlinear optimization, machine learning, and mixed integer programming.

Giuseppe Ughi (University of Oxford)
Orlando Romero (Rensselaer Polytechnic Institute)

Orlando Romero holds a BSc in Applied Mathematics and Computation from Instituto Superior Tecnico (IST) in Lisbon, Portugal, and he is currently a 3rd year PhD student at Rensselaer Polytechnic Institute (RPI) in Troy, NY. He is a fellowship recipient from the RPI/IBM AI Horizons Network Scholars Program, and was recently awarded RPI's Founder's Award of Excellence. His research interests largely revolve around the interface between control theory, optimization, and machine learning, as well as applications to neurotechnologies.

Ivan Skorokhodov (Moscow Institute of Physics and Technology)
Damien Scieur (Samsung SAIL Montreal)
Kiwook Bae (KAIST)
Konstantin Mishchenko (KAUST)
Rohan Anil (Google)
Vatsal Sharan (Stanford University)
Aditya Balu (Iowa State University)
Chao Chen (University of Texas at Austin)
Zhewei Yao (UC Berkeley)
Tolga Ergen (Stanford University)
Paul Grigas (UC Berkeley)
Chris Junchi Li (Tecent AI Lab)
Jimmy Ba (University of Toronto / Vector Institute)
Stephen J Roberts (University of Oxford)
Sharan Vaswani (Mila, Université de Montréal)
Armin Eftekhari (Umea University)
Chhavi Sharma (IIT Bombay)

More from the Same Authors