Semidefinite Relaxations of Fractional Programs via Novel Convexification Techniques. - Mohit Tawarmalani; Nikolaos V. Sahinidis (J. Glob. Optim., 2001)

Global Optimization of 0-1 Hyperbolic Programs. - Mohit Tawarmalani; Shabbir Ahmed 001; Nikolaos V. Sahinidis (J. Glob. Optim., 2002)

Convex extensions and envelopes of lower semi-continuous functions. - Mohit Tawarmalani; Nikolaos V. Sahinidis (Math. Program., 2002)

A finite branch-and-bound algorithm for two-stage stochastic integer programs. - Shabbir Ahmed 001; Mohit Tawarmalani; Nikolaos V. Sahinidis (Math. Program., 2004)

Global optimization of mixed-integer nonlinear programs: A theoretical and computational study. - Mohit Tawarmalani; Nikolaos V. Sahinidis (Math. Program., 2004)

Accelerating Branch-and-Bound through a Modeling Language Construct for Relaxation-Specific Constraints. - Nikolaos V. Sahinidis; Mohit Tawarmalani (J. Glob. Optim., 2005)

A polyhedral branch-and-cut approach to global optimization. - Mohit Tawarmalani; Nikolaos V. Sahinidis (Math. Program., 2005)

The Countervailing Incentive of Restricted Patch Distribution: Economic and Policy Implications. - Mohammad Saifur Rahman 002; Karthik N. Kannan; Mohit Tawarmalani (WEIS, 2007)

Allocating Objects in a Network of Caches: Centralized and Decentralized Analyses. - Mohit Tawarmalani; Karthik N. Kannan; Prabuddha De (Manag. Sci., 2009)

Multiterm polyhedral relaxations for nonconvex, quadratically constrained quadratic programs. - Xiaowei Bao; Nikolaos V. Sahinidis; Mohit Tawarmalani (Optim. Methods Softw., 2009)

Time-Dependent Traveling Salesman Problem. - Mohit Tawarmalani; Nikolaos V. Sahinidis (Encyclopedia of Optimization, 2009)

Cloudward bound: planning for beneficial migration of enterprise applications to the cloud. - Mohammad Y. Hajjat; Xin Sun 002; Yu-Wei Eric Sung; David A. Maltz; Sanjay G. Rao; Kunwadee Sripanidkulchai; Mohit Tawarmalani (SIGCOMM, 2010)

Lifting inequalities: a framework for generating strong cuts for nonlinear programs. - Jean-Philippe P. Richard; Mohit Tawarmalani (Math. Program., 2010)

Strong valid inequalities for orthogonal disjunctions and bilinear covering sets. - Mohit Tawarmalani; Jean-Philippe P. Richard; Kwanghun Chung (Math. Program., 2010)

Semidefinite relaxations for quadratically constrained quadratic programming: A review and comparisons. - Xiaowei Bao; Nikolaos V. Sahinidis; Mohit Tawarmalani (Math. Program., 2011)

D-tunes: self tuning datastores for geo-distributed interactive applications. - Shankaranarayanan P. N.; Ashiwan Sivakumar; Sanjay G. Rao; Mohit Tawarmalani (SIGCOMM, 2013)

Explicit convex and concave envelopes through polyhedral subdivisions. - Mohit Tawarmalani; Jean-Philippe P. Richard; Chuanhui Xiong (Math. Program., 2013)

Performance Sensitive Replication in Geo-distributed Cloud Datastores. - Shankaranarayanan P. N.; Ashiwan Sivakumar; Sanjay G. Rao; Mohit Tawarmalani (DSN, 2014)

Lifted inequalities for $$0 mathord {-}1$$ mixed-integer bilinear covering sets. - Kwanghun Chung; Jean-Philippe P. Richard; Mohit Tawarmalani (Math. Program., 2014)

Global optimization of nonconvex problems with multilinear intermediates. - Xiaowei Bao; Aida Khajavirad; Nikolaos V. Sahinidis; Mohit Tawarmalani (Math. Program. Comput., 2015)

Economic and Policy Implications of Restricted Patch Distribution. - Karthik N. Kannan; Mohammad Saifur Rahman 002; Mohit Tawarmalani (Manag. Sci., 2016)

Information theoretic limits for linear prediction with graph-structured sparsity. - Adarsh Barik; Jean Honorio; Mohit Tawarmalani (ISIT, 2017)

Robust Validation of Network Designs under Uncertain Demands and Failures. - Yiyang Chang; Sanjay G. Rao; Mohit Tawarmalani (NSDI, 2017)

Simultaneous Convexification of Bilinear Functions over Polytopes with Application to Network Interdiction. - Danial Davarnia; Jean-Philippe P. Richard; Mohit Tawarmalani (SIAM J. Optim., 2017)

Deriving convex hulls through lifting and projection. - Trang T. Nguyen; Jean-Philippe P. Richard; Mohit Tawarmalani (Math. Program., 2018)

An MINLP formulation for the optimization of multicomponent distillation configurations. - Radhakrishna Tumbalam Gooty; Rakesh Agrawal 002; Mohit Tawarmalani (Comput. Chem. Eng., 2019)

Global optimization of multicomponent distillation configurations: Global minimization of total cost for multicomponent mixture separations. - Zheyu Jiang; Tony Joseph Mathew; Haibo Zhang; Joshua Huff; Ulaganathan Nallasivam; Mohit Tawarmalani; Rakesh Agrawal 002 (Comput. Chem. Eng., 2019)

Cardinality Bundling with Spence-Mirrlees Reservation Prices. - Jianqing; Mohit Tawarmalani; Karthik N. Kannan (Manag. Sci., 2019)

On cutting planes for cardinality-constrained linear programs. - Jinhak Kim; Mohit Tawarmalani; Jean-Philippe P. Richard (Math. Program., 2019)

Lancet: Better Network Resilience by Designing for Pruned Failure Sets. - Yiyang Chang; Chuan Jiang; Ashish Chandra; Sanjay G. Rao; Mohit Tawarmalani (Proc. ACM Meas. Anal. Comput. Syst., 2019)

PCF: Provably Resilient Flexible Routing. - Chuan Jiang; Sanjay G. Rao; Mohit Tawarmalani (SIGCOMM, 2020)

FloMore: Meeting bandwidth requirements of flows. - Chuan Jiang; Sanjay G. Rao; Mohit Tawarmalani (CoRR, 2021)

Convexification techniques for linear complementarity constraints. - Trang T. Nguyen; Jean-Philippe P. Richard; Mohit Tawarmalani (J. Glob. Optim., 2021)

A new framework to relax composite functions in nonlinear programs. - Taotao He; Mohit Tawarmalani (Math. Program., 2021)

Flexile: meeting bandwidth objectives almost always. - Chuan Jiang; Zixuan Li; Sanjay G. Rao; Mohit Tawarmalani (CoNEXT, 2022)

Tractable Relaxations of Composite Functions. - Taotao He; Mohit Tawarmalani (Math. Oper. Res., 2022)

Probability estimation via policy restrictions, convexification, and approximate sampling. - Ashish Chandra; Mohit Tawarmalani (Math. Program., 2022)

Convexification of Permutation-Invariant Sets and an Application to Sparse Principal Component Analysis. - Jinhak Kim; Mohit Tawarmalani; Jean-Philippe P. Richard (Math. Oper. Res., 2022)

An MINLP formulation to identify thermodynamically-efficient distillation configurations. - Radhakrishna Tumbalam Gooty; Tony Joseph Mathew; Mohit Tawarmalani; Rakesh Agrawal 002 (Comput. Chem. Eng., 2023)

Leo: Online ML-based Traffic Classification at Multi-Terabit Line Rate. - Syed Usman Jafri; Sanjay G. Rao; Vishal Shrivastav; Mohit Tawarmalani (NSDI, 2024)

Transferable Neural WAN TE for Changing Topologies. - Abd AlRhman AlQiam; Yuanjun Yao; Zhaodong Wang; Satyajeet Singh Ahuja; Ying Zhang 022; Sanjay G. Rao; Bruno Ribeiro 001; Mohit Tawarmalani (SIGCOMM, 2024)

Active Learning for Fair and Stable Online Allocations. - Riddhiman Bhattacharya; Thanh Nguyen 001; Will Wei Sun; Mohit Tawarmalani (EC, 2024)

Optimization of distillation configurations for multicomponent-product distillations. - Tony Joseph Mathew; Sundar Narayanan; Amrit Jalan; Logan R. Matthews; Himanshu Gupta; Rustom Billimoria; Carla Sofia Pereira; Chris Goheen; Mohit Tawarmalani; Rakesh Agrawal 002 (Comput. Chem. Eng., 2024)

Active Learning for Fair and Stable Online Allocations. - Riddhiman Bhattacharya; Thanh Nguyen; Will Wei Sun; Mohit Tawarmalani (CoRR, 2024)

Advances in MINLP to Identify Energy-Efficient Distillation Configurations. - Radhakrishna Tumbalam Gooty; Rakesh Agrawal 002; Mohit Tawarmalani (Oper. Res., 2024)

MIP Relaxations in Factorable Programming. - Taotao He; Mohit Tawarmalani (SIAM J. Optim., 2024)

Piecewise Polyhedral Relaxations of Multilinear Optimization. - Jongeun Kim; Jean-Philippe P. Richard; Mohit Tawarmalani (SIAM J. Optim., 2024)

Global minimization of power consumptions for multicomponent gas membrane cascades. - Zewei Chen; Mohit Tawarmalani; Rakesh Agrawal 002 (Comput. Chem. Eng., 2024)