Vishwak Srinivasan

11 papers A* 3A 1B 1Journal 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Near-Optimal Private Linear Regression via Iterative Hessian Mixing.
CoRR
Omri Lev, Moshe Shenfeld, Vishwak Srinivasan, Katrina Ligett, Ashia C. Wilson
2025 B conf
High-accuracy sampling from constrained spaces with the Metropolis-adjusted Preconditioned Langevin Algorithm.
ALT
Vishwak Srinivasan, Andre Wibisono, Ashia Wilson
2025 J jnl
The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches.
CoRR
Omri Lev, Vishwak Srinivasan, Moshe Shenfeld, Katrina Ligett, Ayush Sekhari, Ashia C. Wilson
2024 A* conf
Fast sampling from constrained spaces using the Metropolis-adjusted Mirror Langevin algorithm.
COLT
Vishwak Srinivasan, Andre Wibisono, Ashia C. Wilson
2023 J jnl
Fast sampling from constrained spaces using the Metropolis-adjusted Mirror Langevin Algorithm.
CoRR
Vishwak Srinivasan, Andre Wibisono, Ashia C. Wilson
2021 A* conf
Sample Efficient Reinforcement Learning In Continuous State Spaces: A Perspective Beyond Linearity.
ICML
Dhruv Malik, Aldo Pacchiano, Vishwak Srinivasan, Yuanzhi Li
2021 J jnl
Sample Efficient Reinforcement Learning In Continuous State Spaces: A Perspective Beyond Linearity.
CoRR
Dhruv Malik, Aldo Pacchiano, Vishwak Srinivasan, Yuanzhi Li
2021 A conf
Subseasonal climate prediction in the western US using Bayesian spatial models.
UAI
Vishwak Srinivasan, Justin Khim, Arindam Banerjee, Pradeep Ravikumar
2020 A* conf
On Learning Ising Models under Huber's Contamination Model.
NeurIPS
Adarsh Prasad, Vishwak Srinivasan, Sivaraman Balakrishnan, Pradeep Ravikumar
2018 J jnl
On the Analysis of Trajectories of Gradient Descent in the Optimization of Deep Neural Networks.
CoRR
Adepu Ravi Sankar, Vishwak Srinivasan, Vineeth N. Balasubramanian
2017 J jnl
ADINE: An Adaptive Momentum Method for Stochastic Gradient Descent.
CoRR
Vishwak Srinivasan, Adepu Ravi Sankar, Vineeth N. Balasubramanian