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Pratik Chaudhari
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Entropy-SGD: Biasing gradient descent into wide valleys
P Chaudhari, A Choromanska, S Soatto, Y LeCun, C Baldassi, C Borgs, ...
Journal of Statistical Mechanics: Theory and Experiment 2019 (12), 124018, 2019
4942019
Entropy-SGD: biasing gradient descent into wide valleys
P Chaudhari, A Choromanska, S Soatto, Y LeCun, C Baldassi, C Borgs, ...
ICLR, arXiv:1611.01838, 2017
4942017
A Baseline for Few-Shot Image Classification
GS Dhillon, P Chaudhari, A Ravichandran, S Soatto
ICLR, arXiv:1909.02729, 2020
2672020
Stochastic gradient descent performs variational inference, converges to limit cycles for deep networks
P Chaudhari, S Soatto
ICLR, arXiv:1710.11029, 2018
2142018
Deep relaxation: partial differential equations for optimizing deep neural networks
P Chaudhari, A Oberman, S Osher, S Soatto, G Carlier
Research in the Mathematical Sciences 5 (3), 1-30, 2018
1282018
Incremental sampling-based algorithm for minimum-violation motion planning
LIR Castro, P Chaudhari, J Tůmová, S Karaman, E Frazzoli, D Rus
CDC, 3217-3224, 2013
832013
Meta-Q-Learning
R Fakoor, P Chaudhari, S Soatto, AJ Smola
ICLR, arXiv:1910.00125, 2020
552020
Rethinking the Hyperparameters for Fine-tuning
H Li, P Chaudhari, H Yang, M Lam, A Ravichandran, R Bhotika, S Soatto
ICLR, arXiv:2002.11770, 2020
522020
Sampling-based algorithms for continuous-time POMDPs
P Chaudhari, S Karaman, D Hsu, E Frazzoli
ACC, 4604-4610, 2013
362013
P3O: Policy-on Policy-off Policy Optimization
R Fakoor, P Chaudhari, AJ Smola
UAI, arXiv:1905.01756, 2019
292019
On the energy landscape of deep networks
P Chaudhari, S Soatto
ICML Workshop on Optimization in Machine Learning, 2016
25*2016
Parle: parallelizing stochastic gradient descent
P Chaudhari, C Baldassi, R Zecchina, S Soatto, A Talwalkar, A Oberman
SysML, arXiv:1707.00424, 2018
212018
Game theoretic controller synthesis for multi-robot motion planning Part I: Trajectory based algorithms
M Zhu, M Otte, P Chaudhari, E Frazzoli
ICRA, 1646-1651, 2014
212014
Sampling-based algorithms for optimal motion planning using process algebra specifications
V Varricchio, P Chaudhari, E Frazzoli
ICRA, 5326-5332, 2014
192014
Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation
R Fakoor, J Mueller, N Erickson, P Chaudhari, AJ Smola
NeurIPS, arXiv:2006.14284, 2020
182020
Directional adversarial training for cost sensitive deep learning classification applications
M Terzi, GA Susto, P Chaudhari
Engineering Applications of Artificial Intelligence 91, 103550, 2020
112020
Incremental minimum-violation control synthesis for robots interacting with external agents
P Chaudhari, T Wongpiromsarny, E Frazzoli
ACC, 1761-1768, 2014
112014
Trade: Transformers for density estimation
R Fakoor, P Chaudhari, J Mueller, AJ Smola
arXiv preprint arXiv:2004.02441, 2020
92020
A geometric interpretation of stochastic gradient descent using diffusion metrics
R Fioresi, P Chaudhari, S Soatto
Entropy 22 (1), 101, 2020
72020
Sampling-based algorithm for filtering using Markov chain approximations
P Chaudhari, S Karaman, E Frazzoli
CDC, 5972-5978, 2012
72012
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Articles 1–20