See also Google Scholar and DBLP.

Journal Publications:

- Trace Reconstruction: Generalized and Parameterized

IEEE Transactions on Information Theory (with A. Krishnamurthy, A. Mazumdar, S. Pal) - Correlation Clustering in Data Streams

Algorithmica (with K. Ahn, G. Cormode, S. Guha, A. Wirth) - Verifiable Stream Computation and Arthur–Merlin Communication

SIAM Journal of Computing, 2019 (with A. Chakrabarti, G. Cormode, J. Thaler, S. Venkatasubramanian) - Storage Capacity as an Information-Theoretic Analogue of Vertex Cover

IEEE Transactions on Information Theory, 2019 (with A. Mazumdar, S. Vorotnikova) - Structural Results on Matching Estimation with Applications to Streaming.

Algorithmica, 2019 (with M. Bury, E. Grigorescu, M. Monemizadeh, C. Schwiegelshohn, S. Vorotnikova) - Better Approximation of The Streaming Maximum Coverage Problem

Theory of Computer Systems 2019 (with H. Vu) - AUTOMAN: A Platform for Integrating Human-Based and Digital Computation

Communications of the ACM 59(6): 102-109 2016 (with D. Barowy, C. Curtsinger, E. Berger) - Robust Lower Bounds for Communication and Stream Computation

Theory of Computing 2016 (with A. Chakrabarti G. Cormode) - The matrix mechanism: optimizing linear counting queries under differential privacy

VLDB Journal 2015 (with C. Li, G. Miklau, M. Hay, V. Rastogi) - Space-Efficient Estimation of Statistics over Sub-Sampled Streams

Algorithmica, 2015. (with A. Pavan, S. Tirthapura, D. Woodruff) - Annotations in Data Streams

ACM Transactions on Algorithms, 11 (2014), no. 1, pg. 1-30 (with A. Chakrabarti, G. Cormode, J. Thaler) - Information Cost Tradeoffs for Augmented Index and Streaming Language Recognition

SIAM Journal of Computing, 42 (2013), no. 1, pg. 61–83. (with A. Chakrabarti, G. Cormode, R. Kondapally) - SCALLA: A Platform for Scalable One-Pass Analytics using MapReduce

ACM Trans. Database Syst, 37 (2012), no. 4, pg. 1-43 (with B. Li, E. Mazur, Y. Diao, P. Shenoy) - CLARO: Modeling and Processing Uncertain Data Streams

VLDB Journal, 21 (2012), no. 5, pg. 651-676 (with T. Tran, L. Peng, Y. Diao, A. Liu) - A Near-Optimal Algorithm for Computing the Entropy of a Stream

ACM Transactions on Algorithms, 6 (2010), no. 3, pg. 1-21 (with A. Chakrabarti, G. Cormode) - On the Hardness of Approximating Stopping
and Trapping Sets

IEEE Transactions on Information Theory, 56 (2010), no. 4, pg. 1640-1650 (with O. Milenkovic) -
Sub-linear Estimation of Entropy and Information Distances

ACM Transactions on Algorithms, 5 (2009), no. 4, pg. 1-16. (with S. Guha, S. Venkatasubramanian) -
Stream Order and Order Statistics: Quantile Estimation in Random-Order Streams

SIAM Journal of Computing, 38 (2009), no. 5, 2044-2059 (with S. Guha) -
Graph Distances in the Data Stream Model

SIAM Journal of Computing, 38 (2008), no. 5, pg. 1709-1727 (with J. Feigenbaum, S. Kannan, S. Suri, J. Zhang) - Estimating Statistical Aggregates on Probabilistic Data Streams

ACM Trans. Database Syst, 33 (2008), no. 4, pg. 1-30 (with T. S. Jayram, S. Muthukrishnan, E. Vee) - Sketching Information Divergences

Journal of Machine Learning, 72 (2008), no. 1-2, pg. 5-19 (with S. Guha, P. Indyk) - Distance distribution of binary codes and the error probability of decoding

IEEE Transactions on Information Theory, 51 (2005), no. 12, pg. 4237-4246. (with A. Barg) -
On Graph Problems in a Semi-Streaming Model

Theoretical Computer Science, 348 (2005), no. 2-3, pg. 207-216. (with J. Feigenbaum, S. Kannan, S. Suri, J. Zhang)

Conference Publications (N.B. Links point to journal/extended versions if appropriate):

- Estimation of Entropy in Constant Space with Improved Sample Complexity

NeurIPS 2022 (with M. Aliakbarpour, J. Nelson, E. Waingarten) - Non-Adaptive Edge Counting and Sampling via Bipartite Independent Set Queries

ESA 2022 (with R. Addanki and C. Musco) - Graph Reconstruction from Random Subgraphs

ICALP 2022 (with R. Sengupta) - Improved Approximation and Scalability for Fair Max-Min Diversification

ICDT 2022 (with R. Addanki, A. Meliou, Z. Moumoulidou) - PredictRoute: A Network Path Prediction Toolkit.

Sigmetrics 2021 (with R. Singh, D. Tench, P. Gill) - Cluster Trellis: Data Structures & Algorithms for Exact Inference in Hierarchical Clustering

AISTATS 2021 (with C. Greenberg, S. Macaluso, N. Monath, J. Lee, P. Flaherty, K. Cranmer, A. McCallum) - Intervention Efficient Algorithms for Approximate Learning of Causal Graphs

ALT 2021 (with R. Addanki, C. Musco) - Diverse Data Selection under Fairness Constraints

ICDT 2021 (with Z. Moumoulidou, A. Meliou) - Maximum Coverage in the Data Stream Model: Parameterized and Generalized

ICDT 2021 (with D. Tench, H. Vu) - Cache me Outside: A New Look at DNS Cache Probing

PAM 2021 (with A. Niaki, W. Marczak, S. Farhoodi, P. Gill, N. Weaver) - Efficient Intervention Design for Causal Discovery with Latents

ICML 2020 (with R. Addanki, S. Kasiviswanathan, C. Musco) - Triangle and Four Cycle Counting in the Data Stream Model

PODS 2020 (with S. Vorotnikova) - Algebraic and Analytic Approaches for Parameter Learning in Mixture Models

ALT 2020 (with A. Krishnamurthy, A. Mazumdar, S. Pal) - Vertex Ordering Problems in Directed Graph Streams

SODA 2020 (with A. Chakrabarti, P. Ghosh, S. Vorotnikova) - Sample Complexity of Learning Mixture of Sparse Linear Regressions

NeurIPS 2019 (with A. Krishnamurthy, A. Mazumdar, S. Pal) - Trace Reconstruction: Generalized and Parameterized

ESA 2019 (with A. Krishnamurthy, A. Mazumdar, S. Pal) - Mesh: Compacting Memory Management for C/C++ Applications

PLDI 2019 (with B. Powers, D. Tench, E. Berger) - The Complexity of Counting Cycles in the Adjacency List Streaming Model

PODS 2019 (with J. Kallaugher, E. Price, S. Vorotnikova) - Compact Representation of Uncertainty In Clustering

NeurIPS 2018 (with C. Greenberg, A. Kobren, N. Monath, P. Flaherty, A. McCallum) - Connect the Dots to Prove It: A Novel Way to Learn Proof Construction

SIGCSE 2018 (with M. McCartin-Lim, B. Woolf) - A Simple, Space-Efficient, Streaming Algorithm for Matchings in Low Arboricity Graphs

SOSA 2018 (with S. Vorotnikova) - Storage Capacity as an Information-Theoretic Analogue of Vertex Cover

ISIT 2017 (with A. Mazumdar, S. Vorotnikova) - Better Approximation of The Streaming Maximum Coverage Problem

ICDT 2017 (with H. Vu) - Planar Matchings in Streams Revisited

APPROX 2016 (with S. Vorotnikova) - Stochastic Streams: Sample Complexity vs. Space Complexity

ESA 2016 (with M. Crouch, G. Valiant, D. Woodruff) - Better Algorithms for Counting Triangles in Data Streams

PODS 2016 (with S. Vorotnikova, H. Vu) - Sketching, Embedding, and Dimensionality Reduction for Information Spaces

AISTATS 2016 (with A. Abdullah, R. Kumar, S. Vassilvitskii, S. Venkatasubramanian) - Kernelization via Sampling with Applications to Dynamic Graph Streams

SODA 2016 (with R. Chitnis, G. Cormode, H. Esfandiari, M. Hajiaghayi, M. Monemizadeh, S. Vorotnikova) - Run Generation Revisited: What Goes Up May or May Not Come Down

ISAAC 2015 (with M. Bender, S. McCauley, S. Singh, H. T. Vu) - Catching the head, tail, and everything in between: a streaming algorithm for the degree distribution

ICDM 2015 (with O. Simpson, C. Seshadhri) - Densest Subgraph in Dynamic Graph Streams

MFCS 2015 (with D. Tench, S. Vorotnikova, H. Vu) - Correlation Clustering in Data Streams

ICML 2015 (with K. Ahn, G. Cormode, S. Guha, A. Wirth) - Evaluating Bayesian Networks via Data Streams

COCOON 2015 (with H. T. Vu) - Vertex and Hyperedge Connectivity in Dynamic Graph Streams

PODS 2015 (with S. Guha, D. Tench) - Verifiable Stream Computation and Arthur–Merlin Communication

CCC 2015 (with A. Chakrabarti, G. Cormode, J. Thaler, S. Venkatasubramanian) - Trace Reconstruction Revisited

ESA 2014 (with E. Price, S. Vorotnikova) - Dynamic Graphs in the Sliding-Window Model

ESA 2013 (with M. Crouch, D. Stubbs) - Sketching Earth-Mover Distance on Graph Metrics

APPROX 2013 (with D. Stubbs) - Spectral Sparsification of Dynamic Graph Streams

APPROX 2013 (with K. Ahn, S. Guha) - Efficient Nearest-Neighbor Search in the Probability Simplex

ICTIR 2013 (with K. Krstovski, D. Smith, H. Wallach) - Homomorphic Fingerprints under Misalignments

STOC 2013 (with A. Andoni, A. Goldberger, E. Porat) - AUTOMAN: A Platform for Integrating Human-Based and Digital Computation

OOPSLA 2012 (with D. Barowy, C. Curtsinger, E. Berger). [Press Coverage]. - Approximate Principal Direction Trees

ICML 2012 (with M. McCartin-Lim, R. Wang) - Space-Efficient Estimation of Statistics over Sub-Sampled Streams

PODS 2012 (with A. Pavan, S. Tirthapura, D. Woodruff) - Graph Sketches: Sparsfiers, Spanners, and Subgraphs

PODS 2012 (with K. Ahn, S. Guha) - Analyzing Graph Structure via Linear Measurements

SODA 2012 (with K. Ahn, S. Guha) - The Shifting Sands Algorithm

SODA 2012 (with P. Valiant) - Periodicity and Cyclic Shifts via Linear Sketches

APPROX 2011 (with M. Crouch) - A Platform for Scalable One-pass Analytics using MapReduce

SIGMOD 2011 (with B. Li, E. Mazur, Y. Diao, P. Shenoy) - Polynomial Fitting of Data Streams with Applications to Codeword Testing

STACS 2011 (with A. Rudra, S. Uurtamo) - Fast Query Expansion Using Approximations of Relevance Models

CIKM 2010 (with M. Cartright, J. Allan, V. Lavrenko) - The Limits of Two-Party Differential Privacy

FOCS 2010 (with I. Mironov, T. Pitassi, O. Reingold, K. Talwar, S. Vadhan) - Information Cost Tradeoffs for Augmented Index and Streaming Language Recognition

FOCS 2010 (with A. Chakrabarti, G. Cormode, R. Kondapally) - Conditioning and Aggregating Uncertain Data Streams: Going Beyond Expectations

VLDB 2010 (with T. Tran, Y. Diao, L. Peng, A. Liu) - Optimizing Linear Counting Queries Under Differential Privacy

PODS 2010 (with C. Li, M. Hay, V. Rastogi, G. Miklau) - Space-Efficient Estimation of Robust Statistics and Distribution Testing

ICS 2010 (with S. Chien, K. Ligett) - Probabilistic Histograms for Probabilistic Data

VLDB 2009 (with G. Cormode, A. Deligiannakis, M. Garofalakis) - The Oil Searching Problem

ESA 2009 (with K. Onak, R. Panigrahy) - Annotations in Data Streams

ICALP 2009 (with A. Chakrabarti, G. Cormode). - Sampling to Estimate Conditional Functional Dependencies

SIGMOD 2009 (with G. Cormode, L. Golab, F. Korn, D. Srivastava, X. Zhang) - Finding Metric Structure in Information Theoretic Clustering

COLT 2008 (with K. Chaudhuri) - Tight Lower Bounds for Multi-Pass Stream Computation via Pass Elimination

ICALP 2008 (with S. Guha) - Approximation Algorithms for Clustering Uncertain Data

PODS 2008 (with G. Cormode) - Robust Lower Bounds for Communication and Stream Computation

STOC 2008 (with A. Chakrabarti, G. Cormode) Slides - Sorting and Selection with Random Costs

LATIN 2008 (with S. Angelov, K. Kunal) - Declaring Independence via the Sketching of Sketches

SODA 2008 (with P. Indyk) - On the Hardness of Approximating Stopping
and Trapping Sets in LDPC Codes

ITW 2007 (with O. Milenkovic) -
Lower Bounds for Quantile Estimation in Random-Order and Multi-Pass Streaming

ICALP 2007 (with S. Guha) Slides -
Checking and Spot-Checking of Heaps

ICALP 2007 (with M. Chu, S. Kannan) Slides -
Sketching Information Divergences

COLT 2007 (with S. Guha, P. Indyk)

Invited to Special Issue of Machine Learning Journal -
Estimating Statistical Aggregates on Probabilistic Data Streams

PODS 2007 (with T. S. Jayram, S. Muthukrishnan, E. Vee)

Invited to Special Issue of ACM Transactions on Database Systems -
Space-Efficient Sampling

AISTATS 2007 (with S. Guha) -
Island Hopping and Path Colouring with Applications to WDM Network Design

SODA 2007 (with F.B. Shepherd) Slides - A Near-Optimal Algorithm for Computing the Entropy of a Stream

SODA 2007 (with A. Chakrabarti, G. Cormode) Slides - Spatial Scan Statistics: Approximations and Performance Study

KDD 2006 (with D. Agarwal, J. Phillips, S. Venkatasubramanian, Z. Zhu) -
Approximate Quantiles and the Order of the Stream

PODS 2006 (with S. Guha) -
Streaming and Sublinear Approximation of Entropy and Information
Distances

SODA 2006 (with S. Guha, S. Venkatasubramanian) -
More on Reconstructing Strings from Random Traces: Insertions and Deletions

ISIT 2005 (with S. Kannan) Slides -
Approximating the Best-Fit Tree Under L_p Norms

APPROX 2005 (with B. Harb, S. Kannan) Slides -
Finding Matchings in the Streaming Model

APPROX 2005 Slides -
Graph Distances in the Streaming Model: The Value of Space

SODA 2005. (with J. Feigenbaum, S. Kannan, S. Suri, J. Zhang) Slides - A Problem in Scheduling: Your
Time Starts Now...

FUN with Algorithms 2004 - List decoding of concatenated codes: improved performance estimates

ISIT 2004 (with A. Barg) Slides - On Graph Problems in a Semi-Streaming
Model

ICALP 2004 (with J. Feigenbaum, S. Kannan, S. Suri, J. Zhang)

Invited to Special Issue of Theoretical Computer Science - Reconstructing Strings from Random Traces

SODA 2004 (with T. Batu, S. Kannan, S. Khanna) - More on the Reliability Function of the Binary Symmetric Channel

ISIT 2003 (with A. Barg) Slides - Distance distribution of binary codes and the error probability of decoding

WCC 2003 International Workshop on Coding and Cryptography (with A. Barg) -
Physical Modeling of Musical Instruments using Bond Graphs

Brazilian Symposium on Computer Music 1999 (with E. Miranda, P. Gawthrop)

- Graph Stream Algorithms: A Survey

SIGMOD Record - Graph Sketching and Streaming:
New Approaches for Analyzing Massive Graphs

CSR 2017 - Towards a Theory of Homomorphic Compression

Invited Session at CiE 2013 - Better Bounds for Frequency Moments in Random-Order Streams

Manuscript (with A. Andoni, K. Onak, R. Panigrahy) -
Graph Mining in Streams

Entry for the Encyclopedia of Database Systems -
Processing Data Streams

Ph.D. Thesis (Advisor: Sampath Kannan) Slides - Open Questions In Data Streams and Related Topics

Questions arising at the IITK Workshop on Algorithms for Data Streams 2006. - Open Questions In Data Streams, Property Testing, and Related Topics

Questions arising at Sublinear Algorithms 2011 and IITK Workshop on Algorithms for Data Streams 2009 (with P. Indyk, I. Newman, K. Onak)

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