Vishwak Srinivasan

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 9

Top Topics

Continuous State Spaces

Objective Function

Bayesian Models

Top Venues

Publications

Vishwak Srinivasan, Andre Wibisono, Ashia C. Wilson
Fast sampling from constrained spaces using the Metropolis-adjusted Mirror Langevin algorithm. COLT (2024)
Vishwak Srinivasan, Andre Wibisono, Ashia C. Wilson
Fast sampling from constrained spaces using the Metropolis-adjusted Mirror Langevin Algorithm. CoRR (2023)
Dhruv Malik, Aldo Pacchiano, Vishwak Srinivasan, Yuanzhi Li
Sample Efficient Reinforcement Learning In Continuous State Spaces: A Perspective Beyond Linearity. ICML (2021)
Vishwak Srinivasan, Justin Khim, Arindam Banerjee, Pradeep Ravikumar
Subseasonal climate prediction in the western US using Bayesian spatial models. UAI (2021)
Dhruv Malik, Aldo Pacchiano, Vishwak Srinivasan, Yuanzhi Li
Sample Efficient Reinforcement Learning In Continuous State Spaces: A Perspective Beyond Linearity. CoRR (2021)
Adarsh Prasad, Vishwak Srinivasan, Sivaraman Balakrishnan, Pradeep Ravikumar
On Learning Ising Models under Huber's Contamination Model. NeurIPS (2020)
Adepu Ravi Sankar, Vishwak Srinivasan, Vineeth N. Balasubramanian
On the Analysis of Trajectories of Gradient Descent in the Optimization of Deep Neural Networks. CoRR (2018)
Vishwak Srinivasan, Adepu Ravi Sankar, Vineeth N. Balasubramanian
: an adaptive momentum method for stochastic gradient descent. COMAD/CODS (2018)
Vishwak Srinivasan, Adepu Ravi Sankar, Vineeth N. Balasubramanian
ADINE: An Adaptive Momentum Method for Stochastic Gradient Descent. CoRR (2017)