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27. Sham M. Kakade. Background To investigate the effectiveness of chiropractic spinal manipulation versus sham manipulation in children aged 714 with recurrent headaches. Divide-and-Conquer Reinforcement Learning Dibya Ghosh, Avi Singh, Aravind Rajeswaran, Vikash Kumar, Sergey Levine CoRR abs/1710.09430 (2017) This work provides exponential tail inequalities for sums of random matrices that depend only on intrinsic 2009. Identifiability and unmixing of latent parse trees. Sham group (N = 15): Ave age 45.2 8.4 years; 33.3% males. Understanding how invasive procedures can elicit enhanced placebo responses may provide new insights into mechanisms underlying placebo analgesia. 2009. Proc VLDB Endow 7(4): 2. Learning mixtures of spherical Gaussians: moment methods and spectral decompositions. Some features of the site may not work correctly. View at: Google Scholar A central capability of intelligent systems is the ability to continuously build upon previous experiences to speed up and enhance learning of new tasks. Proceeding of the 2016 IEEE World Congress on Computational Intelligence, 2016. Google Scholar Profile; Personal Website for Sham M Kakade; List of Publications on DBLP. ACM Trans Knowl Discov Data (TKDD) 1. Google Scholar. I'm an Assistant Professor in the Computer Science Department at Cornell University.. Is Long Horizon Reinforcement Learning More Difficult Than Short Horizon Reinforcement Learning? Abstract. Methods Design: A two-arm, single-blind, superiority randomised controlled trial. Invasive procedures, such as surgery and acupuncture, are likely better than the others in terms of eliciting placebo analgesia. s. KAKADE, Research Scholar | Cited by 1 | of Mahatma Phule Krishi Vidyapeeth, Rhuri | Read 10 publications | Contact s. KAKADE Two distinct research paradigms have studied this question. Publications 4. h-index 2. Radiofrequency lesion group (N = 13): Ave age 40.8 7.5 years; 38.5% males Y Tan, J Li, M Wonders, F Chao, HPH Shum, L Yang. In Fourth Innovations in Theoretical Computer Science, 2013. Authors: Daniel Hsu, Sham M. Kakade (Submitted on 25 Jun 2012 ( v1 ), last revised 28 Oct 2012 (this version, v4)) Abstract: This work provides a computationally efficient and statistically consistent moment-based estimator for mixtures of spherical Gaussians. Project Euclid - mathematics and statistics online. Simon S. Du*, Wei Hu*, Sham M. Kakade*, Jason D. Lee*, Qi Lei* International Conference on Learning Representations (ICLR) 2021. Ycel M, Harrison BJ, Wood SJ, Fornito A, Wellard RM, Pujol J, et al. Google Scholar. Merged citations. The reason behind blinding and placebo control is to minimise bias while balancing potential placebo effects. lecture Scalable Tensor Decompositions for Learning Hidden Variable Models as author at Large-scale Online Learning and Decision Making (LSOLDM) Workshop, Cumberland Lodge 2012, 3543 views Prateek Jain, Sham M. Kakade, Rahul Kidambi, Praneeth Netrapalli, Venkata Krishna Pillutla, Aaron Sidford: A Markov Chain Theory Approach to Characterizing the Minimax Optimality of Stochastic Gradient Descent (for Least Squares). About I'm a Senior Research Scientist at Google Brain, working on Machine Learning design and human-AI collaboration. Semantic Scholar profile for Sham M. Kakade, with 2121 highly influential citations and 202 scientific research papers. Cathy Wu, Aravind Rajeswaran, Yan Duan, Vikash Kumar, Alexandre M Bayen, Sham Kakade, Igor Mordatch, Pieter Abbeel International Conference on Learning Representations (ICLR) 2018; arXiv:1803.07246. 26: 2016: Ref. PubMed Article Google Scholar 16. 131137, 2017. Semantic Scholar profile for undefined, with 4 scientific research papers. We consider a Markov decision process (MDP) setting in which the reward function is allowed to change after each time step (possibly in an adversarial manner), yet the dynamics remain fixed. Setting: One chiropractic clinic and one paediatric specialty practice in Denmark, November 2015 to August 2020. Sham M Kakade University Google H-index: 71: Number of Google Citations: 20,189: Number of Articles on DBLP: 208: External Links. Protein protease inhibitors are widely distributed among different botanical families in the plant kingdom (reviewed by Liener and Kakade, 1980). Campello RJGB, Moulavi D, Zimek A, Sander J (2. Google Scholar; D. Hsu, S. M. Kakade, and P. Liang. Claim Author Page. Randomised, double-blind, placebo-controlled trials are considered the gold standard to evaluate efficacy and safety of new therapies. Wen Sun. CAS Article Google Scholar 46 Schoenbaum, G., Chiba, A. & Gallagher, M. Neural encoding in orbitofrontal cortex and basolateral amygdala during olfactory discrimination learning. Daniel Hsu, Sham M. Kakade, John Langford, Tong Zhang. View other 5:30 am Guide2Research Ranking is based on Google Scholar H-Index. View at: Google Scholar; S. L. Koppenhaver, M. J. Walker, C. Rettig et al., The association between dry needling-induced twitch response and change in pain and muscle function in patients with low back pain: a quasi-experimental study, Physiotherapy (United Kingdom), vol. Google Scholar; D. Hsu and S. M. Kakade. The following articles are merged in Scholar. This note is a short version of that in [].It is intended as a survey for the 2015 Algorithmic Learning Theory (ALT) conference. Functional and biochemical alterations of the medial frontal cortex in Following the hierarchical analysis, we found a significant difference in percent variation between M1-PFC and Sham groups (t 2.70; p = 0.009) and between M1 vs. Sham group (t 2.07; p = 0.045) in both cases with a large effect size (Cohen's D of 0.88 and 0.67, respectively). I hold a PhD in Computer Science (Machine Learning) from Cornell University. In the case of interventional procedures, the term placebo is replaced by sham procedures. [ local pdf file | talk slides | arxiv link | bibtex] A spectral algorithm for learning hidden Markov models Daniel Hsu, Sham M. Kakade, Tong Zhang. 2, pp. In Twenty-Second Annual Conference on Learning Theory. Ruosong Wang*, Simon S. Du*, Lin F. Yang*, Sham M. Kakade Conference on Neural Information Processing Systems (NeurIPS) 2020 Highly Influential Citations 0. Hierarchical density estimates for data clustering, visualization, and outlier detection. I completed my PhD at Robotics Institute, Carnegie Mellon University in June 2019, where I was advised by Drew Bagnell.I also worked closely with Byron Boots and Geoff Gordon. Cross. Prior to Cornell, I was a post-doc researcher at Microsoft Research NYC from 2019 to 2020. Spine 28 Chronic discogenic low back pain selected on basis of a diagnostic anesthetization of lumbar disc. Teacher Assistant of Computer and Information Sciences, Ain Sham University, Egypt - Cited by 6 - Spatial Data - GIS - Data Mining A. Citations 58. Search in Google Scholar Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression Journal article published in 2011 by Sham M. Kakade , U. Penn , Adam Tauman Kalai , Varun Kanade , Ohad Shamir University of Washington - 20.187 citazioni - Machine Learning - Artificial Intelligence - Statistics - Optimization CoRR abs/1710.09430 (2017) 103, no. Barendse GAM, van den Berg SGM, Kessels AHF, Weber WEJ, van Kleef M. 2001. Geo. In Advances in Neural Information Processing Systems 22. Prateek Jain, Sham M. Kakade, Rahul Kidambi, Praneeth Netrapalli, Venkata Krishna Pillutla, Aaron Sidford: A Markov Chain Theory Approach to Characterizing the Minimax Optimality of Stochastic Gradient Descent (for Least Squares). Their combined citations are counted only for the first article. Scope: online detection of geo- correlated information trends in social networks.

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