Arya Mazumdar (Invited Talks)
Inaugural TILOS Seminar, A mixture of past, present, and future, Nov 17, 2021.
NSF TRIPODS PIs Meeting, Distributed optimization with communication constraints, Sep 7, 2021.
San Diego Machine Learning (Industry forum), Learning with distributed data, Aug 25, 2021.
UCSD CSE Theory Seminar, Trace reconstruction and learning mixtures, May 10, 2021.
UPenn Machine Learning Seminar, Distributed optimization with communication constraints, Apr 23, 2021.
HDSI Seminar, UCSD, Distributed optimization with communication constraints, Apr 9, 2021.
Asilomar Conference, Invited Talk in Special Session on Distributed Optimization, vqSGD: vector quantized stochastic gradient descent, Nov 4, 2020.
CCSP Seminar, University of Maryland, Learning mixtures and trace reconstruction, Sep 17, 2020.
Workshop on Inference problems: algorithms and lower bounds, Learning mixtures and trace reconstruction, Sep 3, 2020.
SPCOM 2020, Learning mixtures and trace reconstruction, Jul 24, 2020.
Workshop on Learning Theory (WOLT) 2020, Learning mixtures and trace reconstruction, Jul 22, 2020.
ITA 2020, vqSGD: vector quantized stochastic gradient descent, Feb 7, 2020.
UC Berkeley, IEOR Seminar, Learning mixtures of simple machine learning models, Nov 18, 2019.
UC Berkeley, BLISS Seminar, Sample complexity of learning mixture of linear regressions (and what does the deletion channel have to do with it?), Sep 28, 2019
UC San Diego, Data Science Institute, Coding theory for data summarization and reconstruction, Apr 22, 2019.
Carnegie Mellon University, Coding theory for data summarization and reconstruction, Mar 21, 2019.
Theory Seminar, UMass CS, Coding theory for data summarization and reconstruction, Mar 20, 2019.
ITA 2019, High dimensional discrete integration over the hypergrid, Feb 14, 2019.
RLE Seminar, MIT, High dimensional discrete integration over the hypergrid, Feb 7, 2019.
Special Coding Seminar, University of Maryland, Approximations for index coding, Jan 22, 2019.
Shannon Channel, Graph clustering: variations on the block models, Dec 7, 2018.
Frontiers of Coding Theory, Information Theory Workshop, Capacity of locally recoverable codes, Nov 27, 2018.
EE Seminar, University of Southern California, Finding structure in data: clustering and representation learning, Oct 16, 2018.
Allerton Conference, Geometric block model and applications, Oct 5, 2018.
Harvard CMSA Workshop on Information and Coding, Open Problems in LRCs, Apr 11, 2018.
RLE Seminar, Massachusetts Institute of Technology, Cambridge, Interactive algorithms for clustering and community detection, Mar 26, 2018.
Dagstuhl Seminar on Coding Theory for Inference, Learning and Optimization, Interactive algorithms for clustering and community detection, Mar 15, 2018.
CSE Seminar, University of Michigan, Ann Arbor, New tools for distributed and interactive learning, Feb 22, 2018.
Institute for Advanced Study (IAS), Princeton, Locally repairable codes, storage capacity and index coding, Feb 5, 2018.
Bombay Information Theory Seminar 2018 (BITS), Interactive algorithms for clustering and community detection, Jan 12, 2018.
Allerton Conference, Approximation algorithms for index coding, Oct 2, 2017.
Caltech, Query Complexity of Clustering, Apr 12, 2017.
ITA 2017, Storage capacity as information theoretic vertex cover, Feb 16, 2017.
AMSMAA Joint Mathematics Meeting Special Session, Storage capacity as an information theoretic analogue of vertex cover, Jan 4, 2017.
Data Science Seminar, Institute of Mathematics and its Applications, Clustering with an Oracle, Oct 28, 2016.
AMS Fall Sectional Meeting, Fundamental limits of locally repairable codes, Oct 28, 2016.
Google, New York, Clustering with an Oracle, Oct 11, 2016.
Allerton Conference, Clustering with an oracle, Sep 29, 2016 (Invited paper only).
Signal Processing and Communications (SPCOM), “Index coding and local partial clique covers”, Jun 14, 2016.
SIAM Conference on Discrete Mathematics, “Locally repairable codes and index coding”, Jun 7, 2016.
Princeton University, Locally Repairable Codes, May 25, 2016.
ITA 2016, “Neural autoassociative memory”, Feb 4, 2016.
Machine Learning and Friends Lunch University of Massachusetts, Amherst, Neural Autoassociative Memory Via Sparse Recovery, Jan 29, 2016.
University of California, San Diego, Theory of codes for network and inference problems, Nov 6, 2015.
University of California, Santa Barbara, Theory of codes for network and inference problems, Nov 4, 2015.
IEEE Information Theory Workshop (ITW), “Small alphabet problems in distributed storage,” Jeju Island, Korea, Oct 12, 2015.
University of California, Berkeley, Graph capacity, broadcast rate and local repair, Sep 28, 2015.
Communication Theory Workshop (CTW), Dana Point, CA, “Recent Results in Local Repair,” May 13, 2015.
Information Theory Workshop (ITW), Jerusalem, “Associative Memory via Linear Neural Network,” Apr 30, 2015.
University of Maryland, Can we do Local Repair over a Network?, Apr 13, 2015.
University of Massachusetts, Amherst, Networks of Reliable Distributed Storage, Apr 3, 2015.
Between Shannon and Hamming: Network Information Theory and Combinatorics, Banff Workshop, “Memoryless Adversary,” Mar 2, 2015.
Simons Institute Workshop on Coding, “A Student's View of Locally Repairable Codes,” Feb 12, 2015.
ITA 2015, “Locality of SecretSharing Schemes,” Feb 6, 2015.
Allerton 2014, “Achievable Schemes and Limits for Local Recovery on a Graph,” Oct 2, 2014.
Allerton 2014, “Group testing with Unreliable Elements and Rule Learning,” Oct 1, 2014.
University of Minnesota, CS Colloquium (Nov 3, 2014), ECE Colloquium (Sep 11, 2014), “Storage Capacity of Repairable Networks.”
CTW 2014, Curacao, “Local processing in distributed storage systems,” May 28, 2014.
Dartmouth College, CS Colloquium, Coding theory of nextgen storage and beyond, Apr 28, 2014.
Virginia Tech, ECE Seminar, “Communication methods in storage systems,” Apr 5, 2014.
CISS 2014, Princeton, “On cooperative local repair for distributed storage,” Mar 20, 2014.
CISS 2014, Princeton, “Smooth compression of rankings,” Mar 19, 2014.
Zurich Seminar, “Noisy Boolean compressed sensing and errorcorrecting codes,” Feb 28, 2014.
ITA 2014, “On a duality between recoverable distributed storage and index coding,” Feb 13, 2014.
Communications/ICWS Seminar, University of Illinois, Urbana, Errorreducing codes, Oct 14, 2013.
Johns Hopkins University, “Reliability in memory: the spectrum of codes,” Mar 5, 2013.
ITA 2013, “Local recovery properties of capacity achieving codes,” Feb 15, 2013.
University of Minnesota, Twin Cities, “Reliability in memory: the spectrum of codes,” Apr 2, 2012.
Rutgers, State University of New Jersey, Reliability in memory: the spectrum of codes, Mar 29, 2012.
SUNY Buffalo, “Reliability in memory: the spectrum of codes,” Mar 14, 2012,
CISE Seminar, Boston University, Error correction codes for Flash memory: rank modulation, Feb 17, 2012.
ITA 2012, “Explicit group testing scheme that identifies almost all defective configurations,” Feb 10, 2012.
Allerton 2011, “Sparserecovery properties of statistical RIP matrices,” Sep 30, 2011.
Massachusetts Institute of Technology (MIT), “Constructions of sampling matrices for compressed sensing,” Apr 15, 2011.
Bell Labs, Murray Hill, NJ, "General construction of compressed sensing matrices, Apr 14, 2011.
Princeton University, EE Department, “General construction of compressed sensing matrices,” Apr 13, 2011.
University of Southern California, EE Department, Sensing compressed signal, codes on graphs and reliability in memory, Jan 21, 2011.
Duke University, ECE Seminar Series, “Codes in Permutation,” Nov 17, 2010.
LinkAMedia Devices, ‘‘Error correcting codes for magnetic recording," Oct 26, 2010.
Allerton 2010, “On the capacity of highdensity magnetic recording on a 1D granular medium,” Sep 28, 2010.
IBM Watson Research Center, NY, “Rank modulation codes: error correction for Flash memory,” Sep 27, 2010.
NEC Labs, Princeton, “Sampling matrices from coding theory,” May 4, 2010.
AT&T Shannon Labs, Florham Park, NJ, “Linear balancing sets,” Jul 24, 2009.
Bell Labs, Murray Hill, NJ, “Error correcting capabilities of codes on graphs,” Jun 25, 2009.
HewlettPackard Labs, Palo Alto, CA, “Design of efficient encoding and decoding algorithms for balanced codes,” Aug 26, 2008.
