Jayadev AcharyaAssistant Professor Cornell University |
I am an assistant professor in Electrical and Computer Engineering, and a graduate field member in Computer Science at Cornell University. I was a postdoctoral researcher in the Theory of Computation Group at MIT, hosted by Piotr Indyk. I obtained my PhD in Electrical and Computer Engineering from UC San Diego, where I was advised by Alon Orlitsky. Before that, I got a Bachelors degree in Electronics and Electrical Communication Engineering from IIT Kharagpur.
Algorithmic Statistics, Information Theory, and Machine Learning.
Estimating Symmetric Properties of Distributions: A Maximum Likelihood Approach
with H. Das, A. Orlitsky, and A. T. Suresh
Manuscript 2015
Sample Optimal Density Estimation in Nearly-Linear Time [arXiv] [pdf]
with I. Diakonikolas, J. Li, and L. Schmidt
Manuscript 2015
String Reconstruction from Substring Compositions [pdf]
with H. Das, O. Milenkovic, A. Orlitsky, and S. Pan
SIAM Journal on Discrete Mathematics, 29(3): 1340-1371, 2015
Estimating Renyi Entropy of Discrete Distributions [arXiv] [ pdf]
with A. Orlitksy, A. T. Suresh, and H. Tyagi
IEEE Transactions on Information Theory (in revision)
Preliminary version: ACM-SIAM Symposium on Discrete Algorithms [SODA 2015] (Acceptance: 27%)
Universal Compression of Envelope Classes: Tight Characterization via Poisson Sampling
[arXiv] [pdf]
with A. Jafarpour, A. Orlitsky, and A. T. Suresh
IEEE Transactions on Information Theory (in revision)
Preliminary version: IEEE International Symposium on Information Theory [ISIT 2014]
A Chasm Between Identity and Equivalence Testing with Conditional Queries
[arXiv] [pdf]
with C. Canonne, and G. Kamath
Theory of Computing (ToC) (submitted)
Preliminary version: Randomization and Computation (RANDOM 2015) (Acceptance: 37.9%)
On the Computation and Verification Query Complexity of Symmetric Functions [pdf]
with H. Das, A. Jafarpour, A. Orlitsky, and A. T. Suresh
IEEE Transactions on Information Theory (submitted)
Preliminary version: Allerton Conference on Communications and Controls [Allerton 2011]
Multilevel Thresholding for Image Segmentation through a Fast Statistical Recursive Algorithm [pdf]
with S. Arora, A. Verma, and P. K. Panigrahi
Pattern Recognition Letters 29(2): 119-125, 2008
Fast Algorithms for Segmented Regression
[pdf]
with I. Diakonikolas, J. Li, and L. Schmidt
International Conference on Machine Learning (ICML 2016) (Acceptance: 24.3%)
Optimal Testing for Properties of Distributions
[arXiv][pdf]
with C. Daskalakis, and G. Kamath
Advances in Neural Information Processing Systems (NIPS 2015) (Acceptance: 21.9%)
Spotlight presentation (Acceptance: 4.5%)
Adaptive Estimation in Weighted Group Testing
[pdf]
with
C. Canonne, and G. Kamath
IEEE International Symposium on Information Theory (ISIT 2015)
Fast and Near-Optimal Algorithms for Approximating Distributions
by Histograms [pdf]
with I. Diakonikolas, C. Hegde, J. Li, and L. Schmidt
ACM Symposium on Principles of Database Systems (PODS 2015) (Acceptance: 31.2%)
Testing Poisson Binomial Distributions [arXiv]
[pdf]
with C. Daskalakis
ACM-SIAM Symposium on Discrete Algorithms (SODA 2015) (Acceptance: 27%)
Near-Optimal-Sample Estimators For Spherical Gaussian Mixtures [arXiv] [pdf]
with A. Jafarpour, A. Orlitsky, and A. T. Suresh
Advances in Neural Information Processing Systems (NIPS 2014) (Acceptance: 24.7%)
Sublinear Algorithms for Outlier Detection and Generalized Closeness Testing [pdf]
with A. Jafarpour, A. Orlitsky, and A. T. Suresh
IEEE International Symposium on Information Theory (ISIT 2014)
Sorting with Adversarial Comparators and Application to Density Estimation [pdf]
with A. Jafarpour, A. Orlitsky, and A. T. Suresh
IEEE International Symposium on Information Theory (ISIT 2014)
Efficient Compression of Monotone and m-Modal Distributions [pdf]
with A. Jafarpour, A. Orlitsky, and A. T. Suresh
IEEE International Symposium on Information Theory (ISIT 2014)
A Competitive Test for Uniformity of Monotone Distributions [pdf]
with A. Jafarpour, A. Orlitsky, and A. T. Suresh
Artificial Intelligence and Statistics (AISTATS 2013) (Acceptance: 33.6%)
Optimal Probability Estimation with Applications to Prediction and Classification [pdf]
with A. Jafarpour, A. Orlitsky, and A. T. Suresh
Conference on Learning Theory (COLT 2013)
Tight Bounds for Universal Compression of Large Alphabets [pdf]
with H. Das, A. Jafarpour, A. Orlitsky, and A. T. Suresh
IEEE International Symposium on Information Theory (ISIT 2013)
Tight Bounds on Profile Redundancy and Distinguishability [pdf]
with H. Das, and A. Orlitsky
Advances in Neural Information Processing Systems (NIPS 2012) (Acceptance: 25.2%)
Competitive Classification and Closeness Testing [pdf]
with H. Das, A. Jafarpour, A. Orlitsky, S. Pan, and A. T. Suresh
Conference on Learning Theory (COLT 2012) (Acceptance: 30.2%)
Estimating Multiple Concurrent Processes [pdf]
with H. Das, A. Jafarpour, A. Orlitsky, and S. Pan
IEEE International Symposium on Information Theory (ISIT 2012)
Algebraic Computation of Pattern Maximum Likelihood [pdf]
with H. Das, A. Orlitsky, and S. Pan
IEEE International Symposium on Information Theory (ISIT 2011)
Competitive Closeness Testing [pdf]
with H. Das, A. Jafarpour, A. Orlitsky, and S. Pan
Conference on Learning Theory (COLT 2011) (Acceptance: 30.7%)
Classification Using Pattern Probability Estimators [pdf]
with H. Das, A. Orlitsky, S. Pan, and N. P. Santhanam
IEEE International Symposium on Information Theory (ISIT 2010)
Exact Calculation of Pattern Probabilities [pdf]
with H. Das, H. Mohimani, A. Orlitsky, and S. Pan
IEEE International Symposium on Information Theory (ISIT 2010)
Recent Results on Pattern Maximum Likelihood [pdf]
with A. Orlitsky, and S. Pan
IEEE Information Theory Workshop (ITW 2009)
The Maximum Likelihood Probability of Unique-Singleton, Ternary, and Length-7 Patterns [pdf]
with A. Orlitsky, and S. Pan
IEEE International Symposium on Information Theory (ISIT 2009)
Hierarchical zonation technique to extract common boundaries of a layered earth model [pdf]
with S. Goparaju, J. C. Goswami, and D. Heliot
IEEE Antenna and Propagation Symposium (AP-S 2007)
Estimation and Compression over Large Alphabets [pdf]
PhD Thesis, University of California, San Diego, 2014