Stem descent$ (all stems)

51 papers:

ICML-2015-EneN #coordination #random

Random Coordinate Descent Methods for Minimizing Decomposable Submodular Functions (AE, HLN), pp. 787–795.

ICML-2015-HsiehYD #named #parallel #probability

PASSCoDe: Parallel ASynchronous Stochastic dual Co-ordinate Descent (CJH, HFY, ISD), pp. 2370–2379.

ICML-2015-NutiniSLFK #coordination #performance #random

Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Selection (JN, MWS, IHL, MPF, HAK), pp. 1632–1641.

ICML-2015-SaRO #convergence #matrix #probability #problem

Global Convergence of Stochastic Gradient Descent for Some Non-convex Matrix Problems (CDS, CR, KO), pp. 2332–2341.

SAC-2015-CharuvakaR #approximate #classification #coordination #scalability

Approximate block coordinate descent for large scale hierarchical classification (AC, HR), pp. 837–844.

FM-2014-ZhaoYZGZC #verification

Formal Verification of a Descent Guidance Control Program of a Lunar Lander (HZ, MY, NZ, BG, LZ, YC), pp. 733–748.

DHM-2014-GaoH #approach #fault #nondeterminism #research

Research on the Continuous Descent Approach (CDA) Operational Error of Pilot Base on Cloud Model and Uncertainty Theory (YG, YH), pp. 91–100.

ICEIS-v1-2014-HaddadCSM #algorithm #heuristic #named #parallel #problem #scheduling

AIV: A Heuristic Algorithm based on Iterated Local Search and Variable Neighborhood Descent for Solving the Unrelated Parallel Machine Scheduling Problem with Setup Times (MNH, LPC, MJFS, NM), pp. 376–383.

CIKM-2014-KangLSSK #coordination #distributed #probability

Data/Feature Distributed Stochastic Coordinate Descent for Logistic Regression (DK, WL, KS, LS, UK), pp. 1269–1278.

ICML-c1-2014-ShalitC #coordination #learning #matrix #orthogonal

Coordinate-descent for learning orthogonal matrices through Givens rotations (US, GC), pp. 548–556.

ICML-c2-2014-LiuWRBS #algorithm #coordination #parallel #probability

An Asynchronous Parallel Stochastic Coordinate Descent Algorithm (JL, SW, CR, VB, SS), pp. 469–477.

RecSys-2014-PetroniQ #clustering #distributed #graph #matrix #named #probability

GASGD: stochastic gradient descent for distributed asynchronous matrix completion via graph partitioning (FP, LQ), pp. 241–248.

STOC-2013-CheungCD

Tatonnement beyond gross substitutes?: gradient descent to the rescue (YKC, RC, NRD), pp. 191–200.

ICML-c1-2013-AfkanpourGSB #algorithm #kernel #learning #multi #random #scalability

A Randomized Mirror Descent Algorithm for Large Scale Multiple Kernel Learning (AA, AG, CS, MB), pp. 374–382.

ICML-c1-2013-Shamir0 #convergence #optimisation #probability

Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes (OS, TZ), pp. 71–79.

ICML-c1-2013-Suzuki #multi #online

Dual Averaging and Proximal Gradient Descent for Online Alternating Direction Multiplier Method (TS), pp. 392–400.

KDD-2013-Mu0ZT #probability #problem #scalability

Constrained stochastic gradient descent for large-scale least squares problem (YM, WD, TZ, DT), pp. 883–891.

KDD-2013-YenCLLL #classification #coordination #linear #memory management #scalability

Indexed block coordinate descent for large-scale linear classification with limited memory (IEHY, CFC, TWL, SWL, SDL), pp. 248–256.

ICML-2012-AvronKKS #performance #probability

Efficient and Practical Stochastic Subgradient Descent for Nuclear Norm Regularization (HA, SK, SPK, VS), p. 46.

ICML-2012-HoiWZJW #algorithm #bound #kernel #learning #online #performance #scalability

Fast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online Learning (SCHH, JW, PZ, RJ, PW), p. 141.

ICML-2012-RakhlinSS #optimisation #probability

Making Gradient Descent Optimal for Strongly Convex Stochastic Optimization (AR, OS, KS), p. 204.

ICML-2012-ScherrerHTH #algorithm #coordination #problem #scalability

Scaling Up Coordinate Descent Algorithms for Large ℓ1 Regularization Problems (CS, MH, AT, DH), p. 50.

KDD-2012-LiLP #coordination #performance #using

Fast bregman divergence NMF using taylor expansion and coordinate descent (LL, GL, HP), pp. 307–315.

CIAA-J-2010-AllauzenCM11 #algorithm #coordination #kernel

A Dual Coordinate Descent Algorithm for SVMs Combined with Rational Kernels (CA, CC, MM), pp. 1761–1779.

ICML-2011-BradleyKBG #coordination #parallel

Parallel Coordinate Descent for L1-Regularized Loss Minimization (JKB, AK, DB, CG), pp. 321–328.

ICML-2011-DinuzzoOGP #coordination #kernel #learning

Learning Output Kernels with Block Coordinate Descent (FD, CSO, PVG, GP), pp. 49–56.

ICML-2011-HuWC #coordination #kernel #learning #named #parametricity #scalability #using

BCDNPKL: Scalable Non-Parametric Kernel Learning Using Block Coordinate Descent (EH, BW, SC), pp. 209–216.

KDD-2011-GemullaNHS #distributed #matrix #probability #scalability

Large-scale matrix factorization with distributed stochastic gradient descent (RG, EN, PJH, YS), pp. 69–77.

KDD-2011-HsiehD #coordination #matrix #performance

Fast coordinate descent methods with variable selection for non-negative matrix factorization (CJH, ISD), pp. 1064–1072.

KDD-2011-IfrimW #biology #bound #classification #coordination #predict #sequence

Bounded coordinate-descent for biological sequence classification in high dimensional predictor space (GI, CW), pp. 708–716.

LDTA-2011-SergeyC #automaton #recursion #type checking

From type checking by recursive descent to type checking with an abstract machine (IS, DC), p. 2.

ICPR-2010-BasakKTR #approach #identification #multi

A Gradient Descent Approach for Multi-modal Biometric Identification (JB, KK, VT, NKR), pp. 1322–1325.

ICPR-2010-WijnhovenW #detection #performance #probability #using

Fast Training of Object Detection Using Stochastic Gradient Descent (RGJW, PHNdW), pp. 424–427.

LDTA-2009-BoylandS10 #generative #parsing #recursion

TOOL PAPER: ScalaBison Recursive Ascent-Descent Parser Generator (JB, DS), pp. 65–74.

ICML-2009-GargK #algorithm #strict

Gradient descent with sparsification: an iterative algorithm for sparse recovery with restricted isometry property (RG, RK), pp. 337–344.

ICML-2009-LiuPZ #coordination #multi #semantics

Blockwise coordinate descent procedures for the multi-task lasso, with applications to neural semantic basis discovery (HL, MP, JZ), pp. 649–656.

ICML-2009-SuttonMPBSSW #approximate #learning #linear #performance

Fast gradient-descent methods for temporal-difference learning with linear function approximation (RSS, HRM, DP, SB, DS, CS, EW), pp. 993–1000.

STOC-2008-AwerbuchK #distributed #linear #source code

Stateless distributed gradient descent for positive linear programs (BA, RK), pp. 691–700.

ICML-2008-HsiehCLKS #coordination #linear #scalability

A dual coordinate descent method for large-scale linear SVM (CJH, KWC, CJL, SSK, SS), pp. 408–415.

KDD-2008-HastieFT #coordination

Regularization paths and coordinate descent (TH, JF, RT), p. 3.

KDD-2007-WanNHL #privacy

Privacy-preservation for gradient descent methods (LW, WKN, SH, VCSL), pp. 775–783.

SIGIR-2007-Metzler #modelling #parametricity #using

Using gradient descent to optimize language modeling smoothing parameters (DM), pp. 687–688.

LICS-2007-BrotherstonS #calculus #induction #infinity

Complete Sequent Calculi for Induction and Infinite Descent (JB, AS), pp. 51–62.

RTA-2007-Oostrom #random

Random Descent (VvO), pp. 314–328.

ICML-2005-BurgesSRLDHH #learning #rank #using

Learning to rank using gradient descent (CJCB, TS, ER, AL, MD, NH, GNH), pp. 89–96.

ICML-2004-HerschtalR #optimisation #using

Optimising area under the ROC curve using gradient descent (AH, BR).

ICML-2004-Zhang #algorithm #linear #predict #probability #problem #scalability #using

Solving large scale linear prediction problems using stochastic gradient descent algorithms (TZ0).

ICPR-v2-2000-MacLeanT #image #pattern matching #pattern recognition #performance #recognition #using

Fast Pattern Recognition Using Gradient-Descent Search in an Image Pyramid (WJM, JKT), pp. 2873–2877.

CC-1998-JohnstoneS #generalised parsing #parsing #recursion

Generalised Recursive Descent parsing and Fellow-Determinism (AJ, ES), pp. 16–30.

CC-1990-Horspool #parsing #recursion

Recursive Ascent-Descent Parsers (RNH), pp. 1–10.

SCC-1979-Pleban #compilation #matrix #recursion

The use of transition matrices in a recursive-descent compiler (UFP), pp. 144–151.