Search Results for author: Arun Suggala

Found 6 papers, 1 papers with code

Second Order Methods for Bandit Optimization and Control

no code implementations14 Feb 2024 Arun Suggala, Y. Jennifer Sun, Praneeth Netrapalli, Elad Hazan

We show that our algorithm achieves optimal (in terms of horizon) regret bounds for a large class of convex functions that we call $\kappa$-convex.

Decision Making Decision Making Under Uncertainty +1

Generalized Boosting

no code implementations NeurIPS 2020 Arun Suggala, Bingbin Liu, Pradeep Ravikumar

Using thorough empirical evaluation, we show that our learning algorithms have superior performance over traditional additive boosting algorithms, as well as existing greedy learning techniques for DNNs.

Additive models Classification +2

On the (In)fidelity and Sensitivity of Explanations

1 code implementation NeurIPS 2019 Chih-Kuan Yeh, Cheng-Yu Hsieh, Arun Suggala, David I. Inouye, Pradeep K. Ravikumar

We analyze optimal explanations with respect to both these measures, and while the optimal explanation for sensitivity is a vacuous constant explanation, the optimal explanation for infidelity is a novel combination of two popular explanation methods.

Connecting Optimization and Regularization Paths

no code implementations NeurIPS 2018 Arun Suggala, Adarsh Prasad, Pradeep K. Ravikumar

We study the implicit regularization properties of optimization techniques by explicitly connecting their optimization paths to the regularization paths of ``corresponding'' regularized problems.

The Expxorcist: Nonparametric Graphical Models Via Conditional Exponential Densities

no code implementations NeurIPS 2017 Arun Suggala, Mladen Kolar, Pradeep K. Ravikumar

Non-parametric multivariate density estimation faces strong statistical and computational bottlenecks, and the more practical approaches impose near-parametric assumptions on the form of the density functions.

Density Estimation

Cannot find the paper you are looking for? You can Submit a new open access paper.