Gradient Descent
Competitive Gradient Descent
Florian Schaefer, Anima Anandkumar
Neural Information Processing Systems http://nips.cc/
Total stochastic gradient algorithms and applications in reinforcement learning
Neural Information Processing Systems http://nips.cc/
On the Power and Limitations of Random Features for Understanding Neural Networks
Considering the one-hidden-layer example above, this corresponds to learning linear predictors over a fixed representation (chosen obliviously and randomly at initialization).
Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients
Jun Sun, Tianyi Chen, Georgios Giannakis, Zaiyue Yang
Neural Information Processing Systems http://nips.cc/
Certified Machine Unlearning via Noisy Stochastic Gradient Descent
"The right to be forgotten" ensured by laws for user data privacy becomes increasingly important.
Stochastic Continuous Greedy ++: When Upper and Lower Bounds Match
Amin Karbasi, Hamed Hassani, Aryan Mokhtari, Zebang Shen
Neural Information Processing Systems http://nips.cc/